#431 Neko: The Future of Healthcare? With Hjalmar Nilsonne, CEO

28 Jan 2026 Β· 1 h 22 min Β· 32 chapters

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In short

The Healthtech Podcast - Episode #431: Neko: The Future of Healthcare? With Hjalmar Nilsonne, CEO

Episode Overview In this episode, Dr. James Somauroo interviews Hjalmar Nilsonne, CEO and Co-Founder of Neko Health. They discuss the innovative approach of Neko Health in preventive healthcare through advanced scanning technology. Nilsonne shares his journey from climate tech to health tech, the challenges faced in the healthcare system, and the vision for the future of preventive health.

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Key Discussions

Introduction to Neko Health

  • Concept: Neko Health focuses on preventive health scans designed to anticipate and mitigate chronic diseases.
  • Offerings: A comprehensive health scan priced at Β£299 that provides immediate results on various health metrics.

Hjalmar Nilsonne's Journey

  • Background: Raised in a family of doctors but initially pursued a career in climate tech.
  • Transition to Health Tech: A pivotal conversation with Spotify founder Daniel Ek led him to explore healthcare innovations, emphasizing the need for preventive care.

Insights on Preventive Healthcare

  • Current Healthcare Issues:
  • Acknowledges that 80% of healthcare costs stem from chronic diseases.
  • Critiques the reactive nature of healthcare, where patients seek help only after symptoms become severe.
  • Vision for Change:
  • Focus on designing a healthcare system centered around prevention rather than treatment.
  • Importance of early detection and proactive management of health risks.

Technological Innovations at Neko

  • Data Collection: Neko developed a multi-faceted scanning process that includes:
  • High-resolution imaging for skin assessments.
  • Cardiovascular assessments including ECG and blood pressure checks.
  • Blood tests processed on-site for immediate results.
  • AI Integration:
  • Utilizes AI to analyze health data, but emphasizes the importance of human interaction in healthcare.
  • Focus on building tools that assist doctors in making informed decisions, rather than replacing them.

Patient Experience

  • Holistic Approach:
  • Neko Health offers a unique patient experience that prioritizes time spent with healthcare providers, allowing for meaningful conversations about health.
  • Feedback Mechanism:
  • Engages with patients to understand their health concerns and motivations, creating a supportive environment that empowers individuals to take charge of their health.

Challenges and Critiques

  • Health Inequality:
  • Addresses concerns about widening health disparities due to the cost of preventive care.
  • Neko aims to demonstrate the value of preventive healthcare in hopes of influencing public health policy and reimbursement models.
  • Anxiety of the 'Worried Well':
  • Engages with the criticism that Neko may contribute to health anxiety among individuals without diagnosed conditions.
  • Advocates for the importance of being proactive about health, viewing it as a responsibility rather than a flaw.

Future Aspirations

  • Vision for Abundance:
  • Nilsonne believes in a future where preventive healthcare becomes accessible to all, with the right technology and models in place.
  • Long-term Goals:
  • Establish Neko Health as a leading example of how preventive care can be integrated into everyday life and public health systems.

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Key Takeaways

  • Prevention Over Treatment: A significant shift is needed in the healthcare system to prioritize preventive measures.
  • Innovative Technology: Leveraging technology, including AI, is crucial for collecting and interpreting health data effectively.
  • Patient-Centric Approach: The healthcare experience should focus on meaningful interactions between patients and providers.
  • Challenging the Status Quo: Neko Health aims to create a healthcare model that not only serves those who can afford it but also advocates for wider access to preventive services.

Conclusion This episode underscores the transformative potential of preventive healthcare through technology and patient engagement, while also addressing the complexities and ethical considerations involved in redefining health systems for the future.

---

For more information about Neko Health, visit their website: [Neko Health](https://www.nekohealth.com/gb/en)

Host: Dr. James Somauroo Podcast: The Healthtech Podcast Follow: [www.thehealthtechpodcast.com](http://www.thehealthtechpodcast.com) | [www.jamessomauroo.com](http://www.jamessomauroo.com) Subscribe: Rate and leave a review to support the podcast!

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Introduction of Hjalmar Nilsonne

0:45 to 1:26

Host welcomes guest Hjalmar Nilsonne and discusses his brief visit to London.

β€œBut for those that don't, give me the top line.”

What is NekoHealth?

1:26 to 2:04

Hjalmar explains the concept of NekoHealth and its preventive health scan.

β€œAnd you've journeyed now into health, convinced at least in part, I think, by Daniel Ek, if you're on Spotify, which is a very interesting story that we definitely want to hear on here.”

Hjalmar's Journey to Health Tech

2:04 to 3:52

Hjalmar shares his background, growing up in a medical family and initial aversion to medicine.

β€œSo I grew up very much in this kind of medical world, spending time in hospitals.”

Transition from Climate Tech to Healthcare

3:52 to 7:01

Hjalmar discusses his career in climate tech and how he was drawn into healthcare by Daniel Ek.

β€œLike, it was not like I saw him at the pub, but, you know, we never spoke.”

The Vision for a New Healthcare System

7:01 to 9:24

Exploring the idea of a preventive healthcare system and the challenges faced.

β€œthat it would be way better if we could have a healthcare system much more predicated on prevention and creating health rather than just reactively treating the sick.”

Insights on Data Collection and Accessibility

9:24 to 12:15

Discussion on the need for affordable health data tracking and AI's role in healthcare.

β€œEven if somehow magically you could we have like all the information we need to track people's health before they were sick Who would look at it?”

Changing the Role of Doctors

12:15 to 14:05

Hjalmar addresses the evolving role of doctors amidst increasing accessibility of health data.

β€œactually only paid when their patients were healthy.”

The Evolution of Health Data Accessibility

14:05 to 17:45

Explore how health data is becoming more accessible and the shifting role of doctors.

β€œSo by definition, no one has done exactly that before.”

Neko's Approach to Actionable Medical Insights

17:45 to 22:45

Learn about Neko's emphasis on actionable health information and its impact.

β€œThat was happening before Neco, it will happen after or around or all the rest of it.”

Consumer-Focused Health Technology Innovations

22:45 to 28:00

Discover how Neko pivoted towards consumer healthcare and its implications.

β€œAnd because I realized immediately that when you want to appeal to consumers, you have to speak the language of consumers.”
Show all 32 chapters

The Challenge of Subjective Assessments in Medicine

28:00 to 29:18

Learn how subjective assessments in medical practice can be improved with objective data.

β€œSo my daughter has a rare autoimmune condition.”

Comprehensive Mapping for Skin Health

29:18 to 30:58

Explore how comprehensive skin mapping can enhance early detection of skin conditions.

β€œSo the goal of this system was really to do this like comprehensive objective mapping of the outside of your body that would allow us in any future case to go have a rich history to talk about changes, et cetera.”

Advancements in Cardiovascular Disease Diagnosis

30:58 to 33:54

Discover the innovative approaches to diagnosing and monitoring cardiovascular health.

β€œAnd it turns out again, the unbelievable naivete we had going into this, because it turns out like human bodies come in all kinds of shapes and colors.”

Integrating Technology for Efficient Health Assessments

33:54 to 36:21

Understand how technology is streamlining health assessments and improving patient experiences.

β€œThen we have the green light on your arm thing.”

The Gap Between Modern Healthcare and Patient Expectations

36:21 to 38:31

Discuss the discrepancies between traditional healthcare systems and modern patient needs.

β€œAnd I think, I know some of the criticisms which we are going to go into to get your thoughts on them.”

The Importance of Experience in Medical Decision Making

38:31 to 41:21

Examine how experience shapes medical intuition and decision-making in healthcare.

β€œIs that in part what you're in the business of doing?”

Applying Algorithms to Improve Dermatology Practices

41:21 to 42:00

Learn about the potential for algorithms to enhance dermatological assessments and accuracy.

β€œAnd this is why medicine historically is an apprentice work.”

Understanding Dermatology and AI Integration

42:00 to 44:20

Explore how AI can enhance dermatological assessments through data-driven algorithms.

β€œWe can apply, we can try to build kind of algorithms to do A, B, C, D.”

The Importance of Longitudinal Data in Healthcare

44:20 to 45:40

Learn how longitudinal data collection can improve preventive healthcare outcomes.

β€œSo yeah, I've paid my this is how much it is.”

Patient-Centric Care Models at NekoHealth

45:40 to 47:52

Discover how NekoHealth emphasizes personalized communication and patient engagement.

β€œSo the people who are not yet sick, chronic disease, have these problems, that's how we turn public health around.”

Redefining the Doctor-Patient Interaction

47:52 to 49:54

Examine the transformation of the traditional doctor's visit into a more engaging experience.

β€œSo we're setting, I think, both the member and the doctor up to really have a meaningful conversation.”

Balancing Business Sustainability and Quality Care

49:54 to 52:48

Understand the challenges of maintaining both profitability and quality in healthcare services.

β€œSo the problem with public health is we want to have ice cream and Necroni and these are the choices we want to make in the moment.”

Future Vision: Integrating Technology in Healthcare

52:48 to 55:40

Evaluate the potential for technology to democratize access to preventive healthcare globally.

β€œSo like the vast majority of people will have a great experience.”

The Future of Technology in Healthcare

56:00 to 57:25

Explore how technology can create equitable access to healthcare services globally.

β€œAnd what's even more interesting, I think, like, if you are, you know, Barack Obama, you don't have a better phone than I do.”

Bridging the Health Inequality Gap

57:25 to 59:48

Discussion on health inequality and how to ensure equal access to preventive healthcare.

β€œwhere everyone would have what Neko could do now, for example?”

The Impact of Preventive Scans

59:48 to 1:02:24

How regular health scans benefit various patient demographics and improve health outcomes.

β€œBut on the other side, with the consumer, of taking them along for the journey.”

The Worried Well and Health Marketing

1:02:24 to 1:05:19

Addressing concerns over 'worried well' consumers and the marketing strategies of healthcare services.

β€œAnd the group actually who benefited the most were those with pre-existing chronic conditions.”

MRI vs. Preventive Health Tools

1:05:19 to 1:07:47

Discussion on the effectiveness of MRI scans compared to preventive health measures.

β€œI think that the idea of the word well being kind of a blemish on society is a little bit strange.”

The Role of AI in Healthcare

1:07:47 to 1:10:03

Understanding the current and future applications of AI in improving healthcare services.

β€œnot the best term to use for you, because it means a lot of different things to a lot of different people.”

The Role of Compassion in Healthcare's Future

1:10:03 to 1:13:59

Discussing the importance of human connection in future healthcare systems.

β€œthink there are like scientific conclusions that probably over time will be able to support better and better with big data sets and AI.”

Reevaluating the Heroic Doctor Paradigm

1:14:00 to 1:17:20

Exploring the misconceptions of heroic doctors and their actual impact on patient health.

β€œit's interesting it's interesting it gets very philosophical it does it does like what is the doctor.”

Building Exceptional Healthcare Products

1:17:21 to 1:20:52

Advice on creating impactful health products over regulatory compliance.

β€œLike, I think there's a lot of sort of doom and gloom and every year it gets worse.”
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Transcript

Automatic transcript. May contain errors.

0:00Welcome to the Health Tech Podcast. Here we talk about everything healthcare and technology. and I'm your host, James Sommeru.

0:11Jaumar, welcome to LTE Podcast. How are you doing? I'm very good, thank you. Thank you for inviting me. You are very welcome, sir. You're very welcome. How long are you in London for? Have we got you on the first day, the last day? I just came in and I'm doing some work at our Speed of Hills location tomorrow, demoing some very interesting things we have coming up next year. Then I have to get back to the family for Christmas prep. Excellent. Yeah, it's very close to Christmas, isn't it? That's quite interesting for the family. Well, delighted to have you. Delighted to have you. NecoHealth, I don't think there's going to be many people that listen to this podcast that don't know what NecoHealth is.

0:45But for those that don't, give me the top line. What is NecoHealth? The super basic version is we're a preventive health scan for your future self. So we have a 299 scan that we've developed ourselves that maps millions of data points, give you results in minutes, looking at the most common problems across chronic disease and other things that are largely preventable if you catch it early. We're going to talk loads about that scan. Even the word scan is interesting because it's actually just a load of different tests doing different things across cardiovascular, across metabolic, across dermatological.

1:19There's loads of different scans, and I have had one. So we are going to talk about it. But I want to talk about you first. And I want to talk about your journey into health tech. And so where does your story start? Because you were in climate. I know that. And you've journeyed now into health, convinced at least in part, I think, by Daniel Ek, if you're on Spotify, which is a very interesting story that we definitely want to hear on here. But yeah, tell me about yourself, man. How does this start for you? Yeah, so I grew up in a family of doctors. So my grandfather had his own practice in Stockholm like over 100 years ago.

1:55My father kind of went in his footsteps. Same speciality. my mom is a psychiatrist, my oldest brother is a doctor, and all of these folks were doing a lot of medical research. So I grew up very much in this kind of medical world, spending time in hospitals. At Christmas time, we would get like hundreds of Christmas cards from old patients, I think. This was a day and age when the patient-doctor contract was a bit different. So it wasn't like, you have to fix me. It was more like, oh my God, I can't believe you could do something for me. Even just having the same doctor for continuity of care. Yeah, exactly.

2:28Exactly. So like way different thing with family doctors and everything. That was the world that I grew up in. And growing up like that, I grew up with like an absolute conviction that I would never, ever get involved in anything relating to medicine, health care, like you name it. It just seemed like a very, very tough way to, you know, do your work and like hearing what my parents were talking about over the kitchen table. anything from kind of peer review process and you know evidence to kind of how can we get our institutions to kind of do the right thing even though they're set up in a way where we think that's not really kind of easy to do so yeah i was convinced that i would never ever be anywhere close uh to medicine so my background was i ended up getting obsessed with climate change i have an engineering background and i worked on climate tech stuff for almost 10 years co-founded two companies in the energy space.

3:25And yeah, basically I thought that was going to be my life. Just doing, working on slightly reducing the ratios of gases in the atmosphere, you know, very, very slightly. Yeah. And then things... But making a huge amount of difference doing so. Yeah, hopefully. And arguably a health intervention, kind of. But anyway. Yeah, that's on the pollution side. Electrifying, heating. But anyway. Yeah. And then my life took a bit of a left turn. So in 2018, I got a direct message from Daniel Ek. basically out of nowhere. And you didn't know him before? Never met him. Right. Like, we were not in a chat group.

3:59Do you know what I mean? Like, it was not like I saw him at the pub, but, you know, we never spoke. Like, it was literally like, I never met him. Interesting. The message was pretty curious. He was like, hey, I think maybe we should talk about maybe doing something together. It was pretty direct. It's one of those that you say yes to, isn't it? Before figuring out exactly what it even might be. Okay, this is crazy, but okay. So Daniel, you know, probably the most successful tech founder in Europe. Yeah. So we have a coffee and basically he tells me about what's going on in his life, which is he's about to IPO Spotify.

4:28And he's realized that suddenly he's going to have a lot of capital. So he was thinking about, OK, what should I do with it? I mean, I have it. I should use it for something. And he had been thinking kind of long and hard about what he wanted to do with it. Looking at all the options of kind of charity and all the different things you could kind of make a difference. He had kind of landed on the conclusion that like of all the things that he had done, the thing that really had a big global impact. was kind of redefining the expectations on an industry. Wow. And that industry was music, and music became synonymous not with buying songs or buying records, but a completely different listening experience.

5:04So he was kind of thinking like, oh, that's the kind of stuff I should be doing more of. But I run Spotify, so I need to partner with somebody and find someone who I can enable to go on a similar journey. And maybe that someone is you. I said, okay, this is pretty cool. Like, Daniel, like super successful entrepreneur, willing to like fund something very ambitious. You know, life is feeling pretty good. And the next sentence that comes out of his mouth is, you know, and the area that I would really like to focus on is healthcare. And my heart dropped just. It was just like, oh. It was just mistaken identity.

5:42Yeah, like literally like asteroid mining, gold, like anything but healthcare. I was pretty direct. I was like, look, I think what you're thinking about is wonderful. I think you should go and do it. Don't listen to me. But basically you have no idea what you're getting yourself into, trying to change the mind of the medical community about how they do stuff, etc. But best of luck to you. And I thought that was going to be it. But Daniel, who's very smart, he was like, okay, if you don't want to do it, if it's not for you, that's fine. But could you maybe help me just develop the idea a little bit further?

6:18That's you know, okay, you know, that's it does sound pretty fun. And it's like, well, what do you mean? Like, well What kind of input do you need? And he said, well Let's just imagine for a second that we have we have to start over kind of as a society. So this isn't in 2018 Yeah, let's just say like boom there is no healthcare system and then we're like, oh, we need a healthcare system Okay, how would we design it if we had a chance to do it over? What's wonderful about Daniel he didn't say like and here is what I think He was like, so can you go and figure it out? I was like, huh, okay, that's pretty interesting.

6:52So it's impossible not to start thinking about it. So we met again over a few months and we were kind of bouncing these ideas. Pretty quickly, we landed on this idea that it seems like everybody agrees that it would be way better if we could have a healthcare system much more predicated on prevention and creating health rather than just reactively treating the sick. We have everything from how consumers feel about it, where they get very frustrated about how primary care functions today, to the cold hard stats of like 80 % of the cost in the healthcare system is associated with chronic disease.

7:28Chronic disease can be completely prevented or delayed if you deal with it in the early stages when it's easiest to do. But today, basically, you can't even see a doctor most of the time unless you have the late stage symptoms. So like, okay, this doesn't really make any sense. So obviously we could do it over. We would try to figure out a way to make a healthcare system that's way more predicated on prevention and proactively helping people stay away from the risk factors. Whenever you start a company, you end up looking back and realizing how naive you were. So at the time, we thought like, oh, this is a pretty solid insight.

8:01I later learned that if you go back to the Hippocratic Oath and Hippocrates, it's literally in there. Prevention is always preferable to cure. It's like the oldest idea in medicine. He wrote a whole book I later learned called the book of prognostics, where basically he's arguing that like the number one duty of a doctor is first do no harm. And what is the best way of doing no harm is doing no intervention. And the best way of doing no intervention is to prognosticate and try to help people stay away from the need from the intervention to begin with. So like this turned out to be literally the oldest idea in medicine that we thought like, oh, we came up with this wonderful insight.

8:39And then the second question was, okay, great. So if this is the future people want, why isn't it happening? What's stopping us from having this future? And we're looking at it, and to some degree, you'd kind of see like, okay, the ultra-wealthy, they have access to kind of hospitals and scans, and they're doing all this stuff. So they maybe have a little bit of it. But for the 99.9 % of people, there isn't really that much in this category. And so what our hypothesis was basically like it seems like using the existing healthcare infrastructure of MRI machines and x-ray machines and all these things It's just way too expensive and way too complicated to be applicable at a larger scale for prevention So that was kind of okay.

9:21That's challenge number one Challenge number two is okay. Even if somehow magically you could we have like all the information we need to track people's health before they were sick Who would look at it? Like every doctor that I know So it's like overworked. So who's going to sit through and look at all the charts and drawing the right conclusions from it, et cetera. So NECO was really like the two insights that made us decide to serve the company was, okay, we need to fix the data collection problem to make it really cheap, easy, convenient to track your health across time. And then we need to figure out how to draw the right conclusions from this data without adding extra work to the existing healthcare staff.

10:00And the hypothesis was simply like maybe with the rise of AI, you could imagine a future where the right conclusions can be drawn from this data without costing a fortune, which means it could be accessible. And maybe with the rise of smartphones and sensors, you could imagine a future where tracking your health data across time didn't have to be crazy expensive. And if you have both of those two components, you could basically create a whole new infrastructure for primary care where proactive and preventive care becomes the norm rather than the sort of very rare exception. Yes. And when we had those pieces together, I knew I was like, it was like, shit.

10:36Like, oh my God, I'm actually going to have to do this. Like, this is maybe the most exciting. I mean, we're literally maybe for the first time in human history at a point where this could become a reality. Yes. And I maybe have a real chance of making a contribution to making it happen. Yes. Like, so then it was like, oh, I cannot sit on the sidelines for this. Like I have to go out and try and do it. So we started the company together and I'm very, very happy that we did because I've been having an absolute blast ever since. And then we spent the first four or five years just focused on this first problem of the data collection.

11:12So at this point, the company didn't have a website. We didn't have a brand. Like nobody knew that we existed. We were just focused in a bunch of clinical studies, collaboration with universities, just looking for different ways of tracking your health data that could fit this criteria of being very convenient, very low cost to run, and these kinds of things. Interesting. After this period, we opened our first location in Stockholm where we put it all together in a consumer-first experience. And that was kind of our first contact with reality of this big vision that we had. Wow. Okay. So there's loads that I want to talk to you about here, Yarmar, because the way that you have described that naivety around surely this problem is simple to solve and in fact surely we've unearthed actually what the problem is it's prevention before cure it's really interesting because actually one of the podcasts that's actually just come out I talked with the guests there about how in those days way back when doctors were incentivized and actually only paid when their patients were healthy.

12:23Right. And actually when they became unhealthy was when the doctors then underwent cost and therefore incentives were incredibly aligned towards prevention. And that's very different. It's funny now seeing the likes of you guys almost helping us to come back round to that idea, which I think is fascinating. And also just this first principles thinking of the ability to... You know, when you're Daniel Ek looking at an industry with the capital and resource that he has, he can look with first principles at an entire healthcare industry with a genuine view of how to solve it. I think those initial meetings that you had with him must have been incredibly fun to actually be banding around ideas around disrupting an industry like healthcare with a family of doctors behind you.

13:15How did you talk about what you were doing to your family? Because I was a doctor and these ideas are very confronting to people that practice clinical medicine. It challenges the way that we think. It challenges our values, actually, a lot of the time. And so I'm interested what those conversations were like with your family. I mean, it's a great question because exactly as you say, you have the first principles, which all kind of, I think, make sense. Yeah, they do. And then you have the practical applications of what people are taught. But also, if we're being honest, there's been tons of research done that have failed to show us strong correlations on some of these things, as people would expect.

14:05So things can sound good, but at the end of the day, it's like, are they actually good in practice? And of course, what we do is new. So by definition, no one has done exactly that before. So this creates this very rich dinner table conversation, as I said, that I grew up with. And it continues to this day about how to navigate. And I think, in particular, what's changing is it used to be that getting this health data was expensive and rare and these kinds of things. And now everyone can see that data in general is becoming much more abundant. But also health data is becoming much more abundant.

14:41So it's a little bit of like whether you like it or not, we're going into an age where this data will be much more abundant. And where the role of the doctor is much less being the gatekeeper to being the person to help you navigate or something like this. And that would happen whether Neko is doing it or not. What I think, you know, in my family, I would say medical research has always been the king of, like, the most important things you can do is to contribute to the corpus of medical knowledge. And at the core of what we have done has always been the clinical studies and the knowledge that we're trying to kind of create that hasn't really been captured in an objective way before.

15:24So I think on that side, it was always like, go, go, go. Like, this is great stuff. Then you have the interesting other side, which is, okay, like, what should you do with this information in, you know, 2019 or whatever it is to drive the most positive outcomes? And that's where you can take the most conservative view of saying, like, hey, if it ain't broke, don't fix it. You can go and be very aggressive and say any little change, you should, you know, spend tons of money and time on it. And, you know, I would say Necos actually, we take a pretty conservative approach. I would say one thing that's always been very important to us is the concept of actionability So as you may have noticed with the tests you did with us Pretty much everything we talk about and we show you is actionable meaning if it's not good.

16:08We know what to do about it Many of these things again like when people hear these things you should test for things and screening They think about all kinds of different things and many of these things have the attribute that you find out Hey, you have a higher risk of liver cancer 7 % increased risk of liver cancer. You're like a great. What do I do? I have nothing. You just like just worry about it. Just worry about it. Yeah. So we don't have any of those kinds of things. So we only talk about actionable things, which I think solves a big part of the problem of kind of like, how do you empower clinicians and doctors to, you know, do a good job rather than dumping data on them that let's be honest, like, it's really sad that as a society, we don't really have the knowledge of how to interpret a lot of the data that we can collect.

16:53And that's primarily, I mean, as an engineer, that's like a data collection problem. Like, hey, okay, if we had more data and better outcomes to correlate it with, we would know how to act on this data. But because no one has collected it at scale, we don't. And because we don't, no one wants to collect it because it's difficult to interpret. So this is why we've always seen it as our role, that on the one hand, And we want to collect and really build this new knowledge about changes to human health, but at the same time, focus the interaction between the person and the doctor on what's actionable and the things that we can speak on with a lot of scientific credibility.

17:34And that's why timing, I think, is incredibly important here as well. Because like you just said, if it wasn't Neko, it would be someone else. The fact is AI is here, that processing power is here, costs are dropping, people are collecting more data. That was happening before Neco, it will happen after or around or all the rest of it. So that's always going to have happened. It's just that putting it together in the way that you have could only really have been done now. And that clearly was the opportunity. I'm interested in those initial conversations. I've got to ask this when you're talking to Daniel Ek about this.

18:18What was the idea initially and how did that change into what it is now? I know that you did a lot of back and forth, but I'm really interested to hear what originally was the plan and did that change at launch? or actually was this truly iterated from the ground up around learning information as you were? I mean, what I haven't told you is like I'm a super genius who figured out everything perfectly in the first hour. No, I mean we had, I would say like the cliff notes didn't change. It's like, solve data collection, like solve interpretability, build it ourselves so that we can do something that's very different from what exists today.

19:04Those things were correct. What we ended up doing, and I'm a bit ashamed of this because I made the same mistake in my previous company. We ended up saying like, look, there's a lot of good medical technology out there. We shouldn't make it. We should buy it and just integrate it really well. Okay. Okay, that sounds great. It doesn't like, that's pretty simple. We buy that, we buy that, we buy that. We put it together. Great. And then you buy it and you put it together and you realize like, hey, this tech was developed like 20, 30 years ago. and no one ever thought that this would be interesting for sort of AI and modern technologies.

19:37I'll give you an example. So we were looking at, at the time, one of the, probably the like Rolls Royce of skin imaging. So like it's a system, it takes really high resolution photographs. And then because we live in a world where like storing medical data is usually seen as a liability. So the company said, hey, then we're going to put the data on the server, kind of on your side. And oh, by the way, we're going to down sample it by 90 % because the doctors can't really tell the difference. I said, well, like, if you want to build this, like, super intelligent system that can, like, track all these changes, you really want the highest possible data quality.

20:14And most of these systems we get by was designed for the lowest possible data quality that a human could find acceptable. So then we were working with a company saying, like, hey, could you make a custom version for us where instead of lowering the data quality, we're going to raise the data quality. and at some point we're like we might as well like try to build it ourselves because this is like even more slow and costing us even more than if we just sort of designed it ourselves from first principle yeah so we ended up building way more of the tech than we ever imagined then the other thing was like initially we thought like hey you know we're going to build amazing diagnostic tech we're going to go out to clinics the clinics have the patients we have the tech it's going to be It's very embarrassing when you make the same mistake twice.

21:01But, you know, after some time, their response was super positive. They were like, oh, my God, we love it. This is amazing. This is exactly what primary care needs. We're like, great. Can we come and install it next week? Like, ooh, actually, you know, next week is not a great week for us. But maybe next year we can pick up the conversation. And, you know, we just realized, like, how stupid. You can't be in control. Yeah, like, when we were honest about it, like, How much better off is this clinic going to be? Because they're getting better at diagnostics, better at prevention. The reality is, like, they're not going to get any more money from doing it.

21:38But now they have to explain to their patients what this whole new thing is. They have to explain to their staff. They have to train them. We're going to be in there every day, like, hey, you need to do this. Hey, you need to do that. So, like, and, you know, the whole premise of the company is basically that, you know, the incentives are not there for prevention. So, like, 90 % plus of our health care budget is spent in hospitals. like a little bit is spent in primary care and almost like one less than one percent is spent on prevention so like how on earth did we get the idea in our head that we could be really successful focusing on that part so we we made this big pivot towards consumer and said okay we know that you know the existing health care system is not going to be willing to pay for the value that we're trying to bring yeah the existing doctors therefore are not funded so even if they think this is the best thing ever because they don't get reimbursed they don't really have a way to use it so then Then we were like, okay, who might be able to have a budget for this?

22:31And then we made this kind of Hail Mary bet on the consumers, saying like, hey, maybe there are enough consumers who are willing to kind of part with their hard-earned money to have a different healthcare experience. As many of these stories, we kind of stumbled our way into something that ended up really working. And because I realized immediately that when you want to appeal to consumers, you have to speak the language of consumers. And, you know, all of us as consumers, we do not act with our head. Like, we do not think rationally. We act with our gut, how things make us feel. So we realize that, okay, if we're going to appeal to consumers, the whole thing has to be conveying the precision and the scientific rigor and all this stuff, not in a chart or in something like this, but in the design and in the experience and these kinds of things.

23:20And that really made us figure out the missing piece that I think really makes Neko work, which is the combination of being high tech, being high design and being high touch, there's the hospitality piece. And those three pieces together is what really made Neko take off in a crazy way with consumers. Yes, and I want to go into this in a lot of detail. And in fact, as an engineer, feel free to completely geek out with me here about this technology, because I want to talk through what a Neko scan actually is. And in fact, I can do this somewhat because having been through the Necco scan myself that high-tech high design and everything seemingly built around my experience was very clear very clear to see but firstly I was intrigued as a clinician by the tests that were chosen you're given some insight there about filtering out what's actionable and what's not already now I can see why some of those decisions were made but there's interesting parts of your story so far that I hadn't appreciated which also go into this you know spending four years figuring out data collection doing studies thinking about universities and partnering with them and doing things with them that's where things like you there's a grip strength test.

24:41And, you know, I did my medical school dissertation on grip strength. And so I know that all the biochemical reactions that happen and everything that happens to the blood vessels and if you occlude it or everything that builds up and the rest of it. But I also know the proxy for health more broadly on grip strength. So for me, that one made sense, but to a lot of people that doesn't. Indulge me. Talk me through how you chose the tests that you chose and why they are what they are. So I'll tell you a funny story. Well, I don't know if you will find it funny, but I think it's interesting. When I started this journey, so my brother is very smart.

25:19He's like a neuroscientist, PhD, or researcher. So I sat him down and I said, okay, human health, you can pick five data types. What are the most important data types to understand how so many students are out. My brother was like, oh, that's very interesting. You know, maybe it's like lipids, maybe it's blood pressures. Anyway, he gave me some kind of list and I was like, hey, this is great stuff. Yeah. Then I started like just buying books on like, you know, medicine 101, first year books. And like every book I looked at, like step one is like, look at the patient. Like someone comes in, look at them.

25:55And then it's like, look at their skin tones. Look at this. Look at this. How are they standing? you know and like they're you know chapter after chapter after chapter just looking at the patient so i call my brother up and i was like hey dude obviously like maybe the most important data type from how someone is doing is what they look like because all these books are talking about how you need to look at and then feel and do different things and he's like well that's not really data type is it and you know as an engineer i'm like of course that's a data type i mean it's visual information about what's happening with your health it's just today it's recorded in the brain of a very experienced, trained person, but we could record the same information in other ways.

26:35So anyway, so that goes to like the first step of what we wanted to do was IKK. The foundation of most medical examinations is looking at the patient, touching them, these kinds of things. Could you replicate that in a way that was super fast, super convenient, super objective? So that's how we ended up with our standing up scanner. So the first part of our scan is you're in your underwear and then you stand in this kind of tube that we've created. And then in about six seconds, we do a complete mapping where we do thousands of images on the outside of your body. So those are color images of like super high resolution cameras.

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27:11We combine that with a 3D camera to capture the shape of your body. And we combine that with thermal cameras to capture the temperature profile of your body. So from the kind of engineering point of view, it's like, okay, now we have an objective representation of core things that tells a lot about human health in general, like very similar to what you would get if you were looking at somebody, if you were touching them, trying to feel if things were swollen, if they're warm, these kinds of things. And we've done all of this, as I said, in six seconds at essentially zero cost because it's all different imaging modalities.

27:46Now, the question is, okay, how do we translate this into something that someone cares about? So then our hero use case there is like, hey, we can now image every single mole on your body. and we can give them every each and every one of them a unique number and whatever happens to you in the future you can now go back and see objectively what was this mole like a year ago two years ago five years ago so by removing the like the data storage is no longer in the head of the doctor it's now objective and you know saved somewhere which also makes like objective comparisons possible. We have this problem.

28:23So my daughter has a rare autoimmune condition. So we need to go to the hospital a few times a year. What we need to do is to check her joints for inflammation. And so the way they do that is you have a very, very good doctor who's kind of warming up her hands. Then she's taking a knee and she's kind of doing this. You know, you're looking at like her every expression, like, is something wrong? And then she said, I think it's OK. you know and as an engineer this would always drive me crazy because like what is this whole business we're trying to do an assessment of circumference we're trying to make an assessment of heat like all of these things can be measured objectively but even worse she had to move to italy so they call us and they say the only person who actually knows the knee is gone so now we're in a bit of a bind because we need to find a new doctor and they need to train up a new recollection of this specific knee.

29:18So we're still in this kind of 18th century mode of medicine where you have these incredibly experienced, amazing doctors, but everything is stored in their head and nothing is captured objectively or easily trackable over time. So the goal of this system was really to do this like comprehensive objective mapping of the outside of your body that would allow us in any future case to go have a rich history to talk about changes, et cetera. And we knew that moles is something that consumers really care about. One thing, it's very visible. It's like you see your moles, so people think about them. It's very obvious that if you have a history, the diagnosis will be better.

30:00And when you go to a doctor, they say, hey, has it changed? And if you're like me, we count them. I have like 848 moles. I don't keep track of all my moles. It's virtually impossible. So it's very clear that, okay, this objective mapping will really guide you to have a better outcome here. And this has also led us to like skin cancer is one of our most common, like we find a lot of malignant melanomas, maybe we'll get into the data from anywhere, people age 30 to 80. So it's also one of the most common cancer types and one of the most easy cancer types to deal with from the kind of true positive, false positive, like the worst thing that can happen is you remove a small piece of skin, which for most people is a very low risk procedure.

30:46And it can be life-saving. So that kind of the standing up part of the scan. So as I said, in like six, seven seconds, we do like thousands and thousands of images. Then we all, we stitched them together. And it turns out again, the unbelievable naivete we had going into this, because it turns out like human bodies come in all kinds of shapes and colors. When you have an iPhone camera, you kind of do this. We can't do that with a physical system. So like figuring out exactly the right amount of lights and focus and all these things turned out to be super complicated. But it doesn't really matter.

31:19At the end of the day, we take all of this data and then we kind of do a lot of data crunching to put it together into kind of one representation of you. Then the second part of the scan is you go and you lay down on this bed. and the main focus or the primary focus on the bed is really cardiovascular disease. So, you know, cardiovascular disease, biggest killer in the world, most expensive disease in the world, but most importantly, half of all cardiovascular disease is undiagnosed, meaning that our emergency rooms are filled with people who have heart attacks and strokes and all these things.

31:54When the doctors get to see them, they realize that this person has been walking around with untreated cardiovascular disease for decade to decades and had they been given the appropriate treatment they wouldn't have ended up like that and this is actually so we've been working with a great cardiologist for the last couple of years working the system from his frustration of seeing every day in his hospital people come in with things that could have been prevented but there wasn't and he's just been on this mission like we have to change this like these people if we could just basically apply guidelines around cardiovascular disease we could save so many and improve so many lives so anyways we have the system where we do the full sort of ECG which is you know traditional ECG where we look at the electrical activity of the heart where we record your heart sound in multiple places and again we record it we don't store it in the head of a clinician we we have it on file so that for anything that's changing in the future and then we have our own system for understanding the heart's pumping function and pulse-wave velocity.

32:55So how the pulse is moving from the heart through your arteries and indications of cardiovascular disease there. We also do the blood pressure on both arms and both legs. And this gets to a little bit of this funny combination because you said it's really, it's a scan, but it's a combination of things. So, you know, we really combine pretty cutting-edge cool stuff with like the super basics. So like, again, when you read the book, it's like, you should always do blood pressure in both arms. Yes. Like most people have never had it done because there's no time. Okay, so we just built a system like, hey, if we're gonna do blood pressure, let's just do both arm, both legs all in like one minute and you know, we're done.

33:38So that's, again, like thousand year old medicine that we're just applying in a way to be just do what everyone should be doing, but just building in a way where it's super convenient. So that's the goal there really to do a very comprehensive mapping of your cardiovascular health. Then we have the green light on your arm thing. Yeah, tell me about that. So it's a microcirculatory assessment. So, you know, you have, you can have a perfectly functioning heart, arteries, these kinds of things. But you, so basically a healthy macrovasculatory system. Yes. But have, you know, dysregulation in the microvasculatory system.

34:14So the typical example there would be like diabetes, where you get very warm feet because the macrovascular is pumping down blood to your feet because you have nerves and cells that are dying because the microvascular is not working. We have been using for peripheral arterial disease. It's another common dysregulation. So it's essentially an Apple watch on steroids. So we use light projected in very specific wavelengths, in a very specific pattern, to distinguish different layers in the skin and how the regulation of the smallest blood vessels are working there. Many chronic diseases have a stronger relationship to microvasculatory function than what is really well understood today.

34:59So it's also data type that we believe will show to be even more powerful in the future to predict different kinds of disease progression. Then you mentioned we do a few other things. We do the grip strength, as you know, who you probably know better than I do, you know, one of the best predictors for long-term health. So basically, if you're below average on grip strength when you're 38, which I am, I mean, not just 38, I'm below average, when you're 60 or 70, the probability that you're below average on health in general is high, which is why grip strength is a good indicator. We do eye pressure.

35:35So eye pressure, why do we do that? Well, symptoms when you have problems with eye pressure is vision loss. Once you've lost it, it's gone forever. If you catch it early, you can easily fix it. So it's just another one of those health areas where it's like, of course, we should check before you start going blind, not after. We combine this with taking a blood draw, as you saw. The thing that we do that's on the blood draw that's unique is we have at each of our locations, we have our own lab. Which means that we can process the blood in 10 minutes. which means that once you've done all of this data collection, you get dressed, you talk to our doctor, you're not waiting for anything.

36:11You're not waiting for blood results. You don't get an email three weeks after saying like, hey, the bloods were fine. So we want all of your results to be ready when you sit down with our doctor so that when you leave Neko, you should have all your questions out. It was an incredible process. And I think, I know some of the criticisms which we are going to go into to get your thoughts on them. What I will say is that very shortly after having that, my NECO scan, I went to the hospital. I've got a salivary gland stone, incredibly benign, just one of those things that they just need to look at every now and again.

36:44It's fine. It's a hospital even that I've worked in. And when I went, there was no car parking spaces. I then had to go to three different car parks. I when I got into the hospital I actually couldn't find outpatients properly in fact I went to the wrong desk I then I then couldn't find the room I then like had the appointment which was fine and then I got lost on the way out as well and nothing about my experience I think it was because it was so close to having the Neko scan and of course when you're dealing with you know what people think oh you know relatively fit and well people you don't have to design a whole whole hospital whole secondary care unit around them you can build purpose built for the for the human experience the patient's experience it just felt so wildly removed that like you said when you were thinking about how to design Neco Health about what if none of this existed how would we start what would we do if we started again I'm noticing even that conversation turning up as people talk about building hospitals in the Middle East, this idea of leapfrogging, leapfrogging entirely whatever system we've got going now and just thinking, how do we literally just build this entire thing?

37:58And in part, it's disheartening because I am a clinician. I'm from that system. And I know, and I can feel that we are removed from the expectations of a consumer, someone that was actually putting their hand in their pocket and paying would this be good enough or probably not it is a public health care system though and we have to give concessions for that and so it is very it is very confronting a lot of this but it shows the gap i think or it showed for me anyway the gap directly between the two and this idea that by building a health care system a preventative healthcare system from the ground up with the resources that you have the level of things that we can learn about how best that is done which brings me I guess in part to what have you learned because you guys have been doing this for a while you've mentioned some anecdotes of of people that have been through this and thank you for sharing about your daughter by the way I just want to ask you this when you designed Neco Health and you're asking your brother those questions and you've applied an engineer's first principle thinking to, well, you've actually just described observing and you've described some of your internal algorithms of how you observe skin colour, how you observe what's around the bed, all these things that we are taught in medicine and turning those into data types.

39:31I think we are you are very much in the business of doing that right now do you think that's a trend that will keep going and the reason I ask the question is because I think as a particularly I used to work in intensive care and I did a lot in A &E and things like that you would have an you would have an intuition and I can remember there was someone that the everybody wanted to discharge and for whatever reason I just wanted to hold on to them for as long as physically possible and then just before they breached A &E of course massive haematemesis ended up in recess and I was like I cannot I cannot tell you I cannot tell you why I thought that and again I've done that many times and it not been that so you know that's not a perfect system my intuition but clearly you know there's something and all doctors have got these types of stories so this idea of turning what isn't data into data.

40:29Is that in part what you're in the business of doing? I had a very powerful childhood memory where I broke my leg ice skating and my dad ended up in the hospital and my dad came over. And as I was in the hospital with my dad, there would just be people coming in all the time asking him to help out with their patients. Like, oh, we have this and this. What do you think we should do? Can you come and look? And he actually left the room multiple times. Okay, please come over here. So what's going on there? Well, my dad was an extremely dedicated person who had probably seen more examples than anybody else in the hospital.

41:11So when you were not sure what to do, you want to go to the person who has seen the most examples. And even if they can't tell you why, they have built up this intuition. And this is why medicine historically is an apprentice work. work. You go with an expert, they show you how to do things, eventually you become the expert and then you show the next generation. So you have these very esteemed older people who have seen a lot and sometimes we've joked about this because I come from tech where it's a bit the opposite. If you're the expert on PHP, nobody's interested anymore because nobody cares about PHP.

41:49So you see who gets funding in tech, it's like 20 year olds, 30 year olds right it's like you have some areas where getting older really means you you have a lot of knowledge and it's usually these kinds of things um but of course that like there's nothing spooky you have examples um and you have certain people who have like combined examples diligence intelligence and they end up becoming very very good at discerning what you should look more carefully at it and what you shouldn't i'll tell you a funny story about this so like we met with one of the a very well-known dermatologist and he said i think this is wonderful this will enable all these things in dermatology and he invited us to meet his dermatology group and we spent an hour talking about a b c d e which is the method for like is should i be worried about this so a is area b is border c is color and he was explaining like this is how dermatologists think and as we And I go, oh, this is all very good.

42:47We can apply, we can try to build kind of algorithms to do A, B, C, D. And as we were kind of wrapping up, he said, but by the way, this isn't really how we do it. And I said, well, what do you mean? And he said, well, you know, I've seen millions of moles. So when I see one that looks funny, I just know that one looks unusual. And as an engineer, I mean, what you're describing is basically machine learning. You have millions of examples that you've accumulated. You have a feedback loop of good, not good. And so when you get to see the million plus one example, if that looks different from the normal ones, you're going to say, let's have a look at that one.

43:24The challenge is historically, like we haven't had a way to capture this information outside of, you know, the heads of these experienced doctors. So I think that's a huge part of, you know, the kind of things that become possible when you do this objective mapping. And we are not an either or kind of thing. I don't know if you had any reason to interact with this, but we do our own follow-ups. So, you know, we have our own dermatologist. We have our own cardiologist. So it's not that we say, you know, hey, either, you know, you use AI or use a dermatologist or anything like that. It's like, hey, let's objectively capture the data.

44:02Is there an indication of risk? Let's bump it up one level to the most capable human person who can make sense giving this like broad Experience and say this looks fine This does not look fine and then over time get better and better at distinguishing what should get bumped up to the specialist I had to have so my cholesterol was high so I had to Go for the extra scan where they break it all down and look at all the different bits and bobs But again at no extra cost to me, which was interesting reminds me back of the model we talked about where you only pay the doctor when you're healthy. So yeah, I've paid my this is how much it is.

44:37You guys are incentivized to make sure that I don't need that next time. And actually, you guys are incentivized to keep me. It's interesting to me. It's interesting to me as a model. Before I move on to the business model, actually, I just want to ask you about something that you've covered a lot here that I just think needs calling out specifically in the value of longitude and all data. here, you're recording things that are only previously heard and compared to, you mentioned the story of your daughter, you know, feeling a knee and understanding the knee and that information being locked down there.

45:07You're surfacing a lot of this data, you're capturing it, you're scanning moles, you're capturing it for comparison down the line. How do repeat scans and longitudinal data fit into how NecoHealth is building value in its company? Going back to Hippocrates, it's like the book of prognostics. We always talk about these are all the findings we have in our scans, we have the life-saving, but we always say, look, the most important group for us is the healthy group, because that's the group where we can still make a difference. So the people who are not yet sick, chronic disease, have these problems, that's how we turn public health around.

45:52And how do we do that? It's by having the data, then showing them the prognosis of where their health is going. Then we don't preach. If you say, hey, I don't care that I have a bunch of risk factors, great, that's your life. You're free to make your own choices, but now you're informed. And this is also why, with an ECHO So way of doing things, you spend more time having a conversation with the doctor than you do in a scan room collecting data. Why? Because the most important part is not having the data. It's communicating well with somebody what they need to understand. Just to interrupt you, sorry.

46:31Yes. I didn't actually think this at the time, but I remember telling my wife afterwards about the scan. and I, it was a conversation. It was actually just a chat and actually, I don't want this to sound like I'm trying to advertise for you guys because we will come on to some critiques but I genuinely, I didn't feel judged, I just felt listened to and actually it became like, give me the context on this. What's your diet like? What do you actually do? Do you think this is a problem for you? Do you want it to come down? Like that was the conversation. And by the way, like I'm not saying that doesn't happen everywhere else, particularly in a public health system like the NHS, you know, time with the GP, continuity of care, et cetera.

47:16That's definitely what we want to be aiming for. I did notice that. And I don't know if that's NECO specific, but I know that that might be clinician specific to those people that you've hired. And I definitely appreciated that. Look, a typical GP, you need to see 30, 40, up to 50 people a day. Yeah. When you work at NECO, you see maybe nine people a day. Yeah. So the amount of time and depth you can go into is just very different. Then you combine that with you don't just have the time, you also have the information. So you have the person in the room, you have the bloods and the ECGs and whatever you want of the foundations of talking about your health, it's all there.

47:52So we're setting, I think, both the member and the doctor up to really have a meaningful conversation. And the sort of one-on-one of communication is like, it's not about what you say, it's about what other people hear. you know and i think it's kind of funny so like why do you go and see a doctor well you go there because you need some answers and then it's like how much of time of the doctor's visit was uh sort of given to the answer part where you learn what you need to learn and usually it's a final like 30 seconds so it's like you did all the stuff the phone is ringing and then it's like okay you here's the deal you need to go to we think it's this probably not that you need to go to the pharmacy you need to pick up this thing you need to take it on wednesday but not every other wednesday because then you take like two pills and like off you go and if you're me anyway you're sitting there like first i'm like yeah i totally got it and then i'm out of the door and i'm calling my wife and i start to explain to her and i realized like i didn't get it at all i can't even remember half the thing that was being said to me and so like what is the point of doing all the work if i didn't understand the things i need to understand so we wanted to kind of flip this i mean there are two big things that we're doing to flip it.

49:00One is the time. So like, let's make sure that every person who leaves Neko has had the time to ask their questions, to really learn what they need to know. And the other is just the environment, you know? So I grew up in doctor's offices and usually there's one or two desks, there's like papers everywhere. Like the phone is ringing all the time and you walk in and you're kind of disturbing someone. They're like, okay, I was in the middle of something okay but okay come in who are you you know that's kind of the feeling and again if you're like me you have this kind of rehearsed story in your head like what you're going to say to not feel like an idiot of wasting their time like okay would you have to understand this you know and you get into it um so in our version of the doctor's office as you know there's no desk there's no phone there's no paper there's just like okay actually the doctor's waiting for you you're not disturbing anybody um and it's really to flip you flip the mindset like let's make sure you are empowered to understand your health.

49:53And let's be honest, the problem with public health, you can put in an ad saying don't smoke. It doesn't help. So the problem with public health is we want to have ice cream and Necroni and these are the choices we want to make in the moment. But if we zoom out and say, hey, when you're 60, do you want to be able to have a good life in retirement? We also say yes. So there's a tension there. and most people do not think like, oh, I want to spend likeΒ£299 to think about not having a Negroni or whatever. So making that whole experience pleasant enough that they not only come once, but they say, actually, I'm going to come back and I'm going to make this a habit of checking in on my health.

50:33And that to us gives us the chance to make a difference. That bit that you said at the end there is interesting to me because when you said that, so nine people a day, there's obviously going to be a tension here. You know, your CEO, you'll have a CFO that's, you know, reasonably, could that be 10? Could that be 11? Could that be 12? Could that be 18? Surely we could get more throughput here. Do you really need that long in the consultation at the end? Surely that becomes a pressure. And when you're running a business for profit, these exist as pressures. as pressures, but holding firm on this is the number we want to see because we want to make sure we have the highest possible quality of product.

51:18It's interesting because I guess it's a sliding scale of overall impact, right? If every necoclinic saw twice the amount of people, you could argue it makes twice the amount of impact. But I guess the question is, or would it? because is adherence, is the time spent at the end focused on adherence actually the most important time? And so how did you arrive at that? How did you arrive at your model? Do you go P &L first and figure that out? Do you have a margin that you're aiming for there? Necco is the business. Talk to me about Necco as the business. For us to be here to care for your health for the long term, the company has to be here for the long term.

51:56Absolutely. And if we're losing money on everything that we're doing, we're not going to be around. Because who would want to finance an operation that's just losing money? So on the one hand, we need to figure out a way to do this sort of preventive and proactive health service where it's financially sustainable. But on the other hand, we need to make sure that the quality is there so that we're doing something we're proud of and it's positive. And the very honest answer is the time that we had was what we could afford. So we can afford about 20 minutes with the doctor. So that's what we have.

52:30Yeah. Anything more than that, it becomes quite challenging because now basically you're using up two slots and then the price, it doesn't need to go from like 299 to like 349. It needs to go from like 299 to like 500 or something. I understand. So this is like, okay, here is something where it's financially sustainable. We think the experience is there. Yeah. So like the vast majority of people will have a great experience. some people have could spend hours in there so they will be a little bit disappointed but i would say for most people it's who where the alternative is getting five minutes you know in some other context or with a telemedicine thing or whatever that like this feels still very uh sort of unmet i'm proving the model at that point at that price point at that time with clinicians at that level of impact of what patients go on to improve.

53:25Proving that model, I'm interested in the future of that and whether there's an integration with a public healthcare system that you can do when you, when you, what you're essentially doing is proving ROI because for every pound spent on prevention, it delivers more in lack of morbidity and all the rest of it and the amount of tax they Pay Pay and all the rest of it. So at kind of a national level, you can scale up the data that you've got to go, well, this is now purchasable as a service by an entire national public health system. Is that something that you guys think about? We didn't start this company because we thought the world just has too few, like, lecture clinics or something like this.

54:06You know, that is the big burning need we have in the world. Like, the big burning need we have in the world, as I said, is like 80 % of what we're doing in our health care system is associated with chronic disease. and still we're running a basically reactive sick care system, then something more preventive. So that's 100 % where we want to go. Now, the incentives, as I said, are not there yet. So this is one of the reasons why we put on our website all of our outcomes, like because people have concerns, maybe we'll get into it, false positives this, false positives that. So all of the data is on the website and people can draw their own conclusions.

54:42But the facts are kind of the facts. Now we think we want to live in a future where access to preventive healthcare is not dependent on what kind of work you have or how much money you have. The only reason we are 299 is that we are in the unsubsidized part of the healthcare system. I don't know if this is true, but someone made a post kind of comparing us to what they were doing in their GP practice and they said that they get about 160 pounds per visit in their GP practice. And I thought that was interesting because that means we're about a 2x higher. And then when you look at kind of what we can do in one of our visits compared to like just a visit of chatting with someone for a few minutes, it's a big difference.

55:25I don't think we're like miles off to begin with. And then I think, you know, we launched here about a year ago. So I think we're still pretty early in our journey. What I think is wonderful with technology is if you think about like something like a smartphone, you know, in the 1980s, like the Wall Street guys to have these big, like, what's the movie called? The Michael Douglas thing. You know, they're all running around with these big phones. And everyone is kind of, that was kind of a silly thing. But then you fast forward like 20, 30 years later. And basically every single person on the planet, even in the poorest part of Africa, they have now a phone in their pocket.

56:04And what's even more interesting, I think, like, if you are, you know, Barack Obama, you don't have a better phone than I do. probably you actually have a worse phone because you probably have security concerns. So the difference, and actually like if you live in Ethiopia, my phone probably isn't that much better than your phone. You probably have a cheaper Android phone. I probably have like a better camera. But it's not like you can watch YouTube. You can do pretty much the same stuff. So when you apply technology to a problem and you're able to reinvest over a significant period of time, suddenly it's not crazy to imagine a world where actually a lot of the underlying tech around prevention and primary care could be quite similar in Ethiopia, Washington, D.C., and London, because ultimately it's driven by the capabilities of the tech.

56:56And then rich people always find ways to spend their money. So they buy phones in gold and they put diamonds on it and stuff like this. So I'm sure even in that future, there's going to be some super fancy services. But what's going to be different is not the tech or the information, it's going to be the surface level stuff. So Yalmar, humor me then. Do you honestly believe in this future of abundance where we all would have access to a similar excellent level of preventative health where everyone would have what Neko could do now, for example? I mean, my question to you would be like, can you tell me constraints that makes it impossible?

57:38So I don't know. So again, it's not obvious to me that it's impossible. Now, is it certain? No. So I mean, this is why we and many other folks like us will have to do a lot of hard work over the coming decades to usher in something new. Yeah. But again, I haven't seen anything that would lead me to believe that you couldn't do it. Well, I would say it depends who pays and how much, ultimately. Because we've talked about this gap between the rich will always experiment. They always have the resource to experiment. And now, you know, your class concierge medicine, people spending 100 grand a year on private GP and every referral going and all the rest of it, you know, you put that in that category now and longevity drugs and all the stuff that whatever weird and wonderful stuff they are doing.

58:35and then you have sort of public screening programs and NECO almost sitting above that as certainly not near that concierge stuff but it's certainly an out of pocket for people that can afford it and so I guess one of the critiques obviously is that is this widening health inequality do we then have a two-tier system where there's people that can afford 299 a year that can do this and there's the people who can't and are we widening equality that way if that is the case at the moment then what is being done to make that not the case and accessibility for everybody yeah so as i said like our vision is very clear that we want to create something that eventually i mean if we go again if we just go back to the basics it's like I think my belief is that a country like the UK would be way better off if everybody had the ability to get a free scan like NECO every year.

59:33Yeah. And that's like just on like health economics. If you just look at like the cost benefit, I believe that already to be the case. But obviously there's a journey that we have to make to convince the rest of the world that this is the case. And it's a journey that we have to do on one side with facts, with showing our data, which we're doing. But on the other side, with the consumer, of taking them along for the journey. And one of the things that I learned, like working on climate change for 10 years, is like a lot of these things, we think it's up to politicians to do things. And we think it's up to like big corporations to do things.

1:00:07But actually, what ends up driving a lot of the big changes in the world is the consumer. And kind of the heart of mind is the consumer. As consumers, we're always voting for what kind of future do we want. We vote with our wallets. We vote with our time. So a big part of what we're trying to do with NECO is to inspire people to say, hey, the future could be very different. You could have a healthcare future where you looked forward to going there. The experience was brutally efficient with your time. All the results were done when you were there. And of course, it's preventive in nature. That future is possible.

1:00:45How do I know that? Because it already exists. Now, it doesn't exist everywhere for everybody. So then the question is, okay, we know it can exist. So what is the journey from existing in a few places to existing in many places? And as you say, that's one part of that is a tech question, because for the last two years, we've been working like absolute maniacs just to build more centers, because we have a wait list that's growing and growing and growing with consumers voting, saying, hey, I'm into this. Like a lot of them, they don't quite know what it is, but whatever it is, this is something like it's resonating with something that I've been looking for.

1:01:23And then the other part, as you say, it's a reimbursement question of like, how long will it take to convince parts of the systems to say like, actually, we would save a lot of money if we offer it. And I think we'll start with certain groups like men who check box X, Y, and Z on risk or whatever. Let's start with them. And if NECU can help them have a better trajectory. I think very interestingly, a couple of months ago, now we posted our first data on what happens between scan one and scan two. Yes, I saw this. So our first two data stories were what you can see easily in the first year, which is what did we find?

1:02:00So we could say, okay, we have all these like life-saving interventions that we found, et cetera, et cetera. But then the other question is, okay, does there seem to be any point of doing this scan if we didn't find anything? And I wouldn't say we have conclusive evidence to show that this is exactly like the percentage that we did and somebody else did. But what we can say is as a group, our cohort got healthier between scan one and scan two. And the group actually who benefited the most were those with pre-existing chronic conditions. Those who already had diabetes or cardiovascular disease or metabolic syndromes, they had a three to five times bigger improvement, something like this, than the average member.

1:02:41What's really interesting about that is, and again, I can't prove the exact correlation, but what I think is happening is you have people walking around with a chronic disease. And for the first time in a long time, someone has sat down with them for 20 minutes and really talked them through what this means for them and what they can do about it. and that has really inspired them to make a bigger change than for the average person. So we think that's pointing to the fact that this kind of thing, it helps chronics, it helps healthy people, and it definitely helps people with undiagnosed conditions that we find.

1:03:14I suppose to these people as well, is it that someone is actually party to a mixture of data that's not come at the same clinician at one time before because of all the different tests that you're doing? It's a new collection of data, isn't it? And therefore that clinician, they won't have had that conversation in that way from anyone else simply because they won't have had the same amount of data points. Yeah. So it's potentially that as well. Yeah. Anxiety in the worried well. I saw the reports. Four out of five people didn't actually need any intervention, which is great. that's also a lot of healthy people wanting to get scanned out of their own interest and that side of things what do you say to criticism that you're creating anxiety in the worried well well first of all i would say like if you look at our marketing we almost only talk about health and not disease so the typical like hey we want a lot of word well it's like you probably have cancer come get a test you will basically never see us do this kind of marketing because neko is all about health It's not about disease.

1:04:21To me, the concept of the word, well, doesn't really exist, but we can get into that. But I would say in general, the reason we have an avalanche of consumers wanting to come to Neko is that we've created a completely new way of experience healthcare. It's not because finally you can find a time with a doctor. So if you're very worried, you can always go to Harley Street or wherever. There's no shortage of options for someone with health anxiety to go somewhere and talk to somebody. So I would say the reason we have had this enormous interest is not because there are so many of them. It's because we have this new experience.

1:04:53We estimate that about 70 % of our members have never done any kind of health check before. So it's folks who are not traditionally thinking about this, but they're drawn into what they're seeing and building a new interest in their long-term health. Now, the reason I would slightly disagree with this idea of the word well is I think like if someone wants to put time and energy towards their long-term health, isn't that great? Isn't that what public health should be about? I think that the idea of the word well being kind of a blemish on society is a little bit strange. Like if, I don't know, if you were worried about your finances and you say, oh, I want to act responsibly for future generations of my family.

1:05:34I don't think anyone would say, hey. I see your point. I see your point. I see your point. Interestingly, it's just come to my mind, what do you think about full body MRIs in that case? Because obviously, when you had a blank piece of paper with Daniel, anything was on the table, right? Why this rather than that? Well, look, I think every imaging modality has great uses. So, I mean, it's amazing what these technologies can do. So x-ray has a great use, MRI has a great use. The reality is if you look at like what are people dying from? It's like cardiovascular disease Diabetes metabolic syndromes like can you see that in an MRI?

1:06:13The answer is no interesting like what you can see in an MRI is some like cancers and Cancer is up there now if you look what kind of cancers are up there It's like breast cancer prostate cancer skin cancer So also not all of them are like for skin cancer for example, you can't do in an MRI So I would just say for us that's a little bit of like a niche use case and it's also very expensive So we don't have you know, we don't have a beef with a full-body MRI I think if you want to do that you can go and do it But if you want to look at like what really is driving again 80 % of the problems of the healthcare system Those are not things that you see in an MRI It's not an image that you kind of study like that And I would also say that the MRI when you can see something wrong big thing in your heart that's wrong that by definition is pretty late stage.

1:07:00So like when your heart has a bunch of like plaque and builds up, that is going with years or decades with cardiovascular risks, unmitigated most of the time. So I would also say that for us, the MRI is like a later stage tool once you have a lot of problems. Interesting. And we also just haven't found a way where we could say that like, hey, everybody in Britain, let's give them an MRI scan next year. I just don't know how that could ever be. You could afford that or even practically do it. Yeah. So it's a very, very powerful imaging technology, but it's not obvious that it's suitable for broad prevention or that it could ever be affordable at a larger scale.

1:07:39Makes a lot of sense. I'm not going to get away with not asking you about AI. You're an engineer. You obviously understand it. And AI is probably not the best tool to use, not the best term to use for you, because it means a lot of different things to a lot of different people. It's a catch-all term. And LLMs obviously have clouded that massively because everyone now just uses it to mean LLMs. But for you and your business, so for Neko Health, where's AI genuinely being used right now? And what's in the roadmap? Look, so first of all, there is no clear definition of what's AI, what's not AI. So what we focus on at Neko is like, hey, we want to build the best possible tools for our doctors to get the right information, to draw the right conclusions, and then be able to talk about it with our member.

1:08:25And in doing that, we do a lot of data processing. We do a lot of data analysis and all these things. Like if you wanted to do marketing, you could call some of those things AI. Is it AI or signal processing? Like it doesn't really matter. And if you go to our website, I don't even think we mention AI. So I would say in the near term, what we care about is like, are we building great tools for our doctors to draw the right conclusion? But when you zoom out a bit, then it's pretty obvious like the healthcare system in 10 or 20 years will be heavily, heavily supported by huge data sets and computation that helps you draw the right conclusions from these data sets.

1:09:06And without the doubt, NECA will be one of the companies at the very, very kind of cutting edge of doing that because we do this broad data collection. So it's a huge part of our mission to say, hey, how do we make sure that we draw the right conclusions from that? And again, if you look at what humans are good at, Like, looking at 10 ,000 rows in Excel and drawing the right conclusion is not one of the things we're good at. So humans should probably not be too much in the business of looking at huge, big, complex data sets, cross-referencing that with, you know, tens of thousands of publications.

1:09:41They are pretty good at, like, doing the judgment call. And, I mean, again, like, when my daughter got her diagnosis, like, I didn't need an LLM. like I needed to sit down with a doctor who has sat down with family like ours many times and I needed to ask this doctor like what does this mean for our family yeah like what is our life going to be like and that's not a conversation that I want to have with an LLM okay so I just think there are like scientific conclusions that probably over time will be able to support better and better with big data sets and AI. And then there is the, I think, I cannot imagine a healthcare future.

1:10:21Actually, let me put it differently. I think a healthcare future where it's like, hey, you just get an email with a PDF with all the results and you don't talk to anybody, nobody cares for you. To me, that's a bit of a dystopic vision of the future. Yes. So to me, I can't really imagine a healthcare system that doesn't have compassion, that doesn't have care, that doesn't have interpersonal connection. But I also think that if we're going to do things way better, like we need to use technology to do a lot of the heavy lifting. Thank you for saying that. That is a really big exhale moment for me hearing you say that, because I think you're going to be one of the most important people, arguably in the world, that gets listened to on things like this because you're actually building it and you're building it at a real scale.

1:11:20And you have the ability to define what will be looked at as and held up as the optimal patient experience. like that's in your power and that's a very privileged position to be in incredibly privileged position to be in and i think the care that is required to navigate what ai does and what humans do what ai is incredibly perfect for and good at versus what humans are you know perfect for and and good at and the grey area in between of how we split those roles. There is no global or even national strategy on that from any healthcare system that I have found or seen. Nobody is understanding all of the different interactions, all of the different points at which information is exchanged.

1:12:16We've not listed those out ever and said which is human, which is AI and which is a mix and what percentage is that mix what ratio is that mix and what exactly let's shrink the task let's break that into 10 things and tell me exactly what humans ai do we've never done that and so i think the ultimately the power that you have to to to really lead thought globally on that as to what works is so so so important so i very much appreciate the way that you've communicated that because if we lose human to human information exchange or touch or soft communication to efficiency if we lose that I think we're in real trouble because it's a very slippery slope that when you think that 20 minutes at the end of the consultation and you know you being potentially under pressure to drop that for efficiency in different things and oh this could be done by AI and that could be done by AI I actually you know your your personal experience with your daughter and your family being clinicians all that stuff replays into this and it it make I'm I'm I'm glad that you think about it in the way that you do and and I would encourage you to never lose that and to please keep hold of that of of always thinking like okay where are we best as humans or ultimately what do we actually want of healthcare what is healthcare what is the vision of perfect healthcare because yes it is perfect diagnosis and treatment but it's also patient experience that's part that should be part of the definition and in that case should we ever have an ai in front of us at the point of suffering alone you know it's interesting it's interesting it gets very philosophical it does it does like what is the doctor.

1:14:12Like, what is the role? No, no, I completely agree. I completely agree. And it's very relevant to you, actually. And you sound well-read in that, in that you've read down to Hippocrates and forwards. So it feels like you've taken care with that, right? Like, you seem to notice your power in this. The philosophical nature of thinking about what is medicine, what is it for, and what's the role, like, between the doctor and patient in these things. Now, I think we have a little bit warped. If you look at kind of popular culture and like what they imagine as kind of heroic doctor, I think today you mainly have two flavors.

1:14:49You have sort of the pit, I don't know if you know the show, it's like an emergency room show where it's like every episode I think follows like one day or one shift I should say. Like people are coming in and there's chaos and someone is dying and you know the heroic doctors are like saving lives and it's all like it's like a war zone and they're almost like war heroes. And so like that's one image of like the heroic doctor. Then also you have the other, which is more like the doctor house, which is like you're on a kind of a murder mystery and it's a complete opposite. You have a team of like eight people trying to like, is it lupus?

1:15:21And like, it's all this stuff. And they're all, what they have in common is they're doing all these like inject them with this. They're doing all these like crazy interventions. I mean, these are both great doctors, obviously. Like my dad was like the emergency room style doctor, very macho, very like, you know, if your head is still like on your shoulders, you're fine, you know? So that's a great guy. But when you look at like what's actually driving suffering and so like in our healthcare, like it's, as I said, it's like cardiovascular disease, diabetes, and like, what are these heroic doctor roles that we imagine do to help with that?

1:15:56And the answer is basically nothing. And then you say, okay, what are the risks that lead to that? Well, it's like high blood pressure, it's high lipids, it's high body mass, it's alcohol, it's tobacco. And then it's like, what are those kind of heroic doctor types doing to solve for that? Well, basically nothing. So I just think we have this big void in kind of our general idea about what heroic doctors do around actually driving long-term health. And that is seen as kind of like boring or whatever. And we're trying to make it fun. And I think like this whole thing we're talking about with the role of the doctor with the AI, I think will bring back a lot more thinking about, you know, out of the like the emergency room into the more day to day where we're going to be able to support each and every individual way better.

1:16:47But I think still any time when you really need it, there's a person there, someone who cares for you. And that person is going to be able to do like 10 times a better job when they're equipped, not like the experience you had in the hospital. But again, like my parents have worked like that my entire life. They're working super hard. Everyone in that hospital is trying, but everyone in the hospital ends up going, you know, crossing, you know, all this stuff, getting lost and whatnot. So I think this, like, to me, this future of abundance, I see, I don't think the tensions are that big, but not everybody sees it yet.

1:17:18And not everybody thinks that, you know, the future can be much better than the present, in particular when it comes to health care. Like, I think there's a lot of sort of doom and gloom and every year it gets worse. And every year the costs are spiraling out of control. And, you know, in the U.S., they have to shut down the whole country because they couldn't figure out how to pay for health care. So I get it. Like, the trends are not looking fun. But I think, you know, again, it's within our powers to steer away from that and steer into a different kind of future. But I definitely agree with you.

1:17:48Like, doing that in a very thoughtful way is very important. And, you know, maybe not everybody working in AI right now, they just say, you know, just ask health questions for a thing that has never been validated for health questions. You know, that's pretty, maybe not the most responsible. It's going to be fascinating. I think you guys are at such an amazing point of this. It's an incredible point in time to be doing what you're doing. Building a business model in prevention is hard. You've managed to do it. You've had to build vertically an incredible amount of stuff yourselves. So, yeah, it is difficult.

1:18:24It's capital intensive, but you've managed to do it. It's incredible what you've achieved so far. I'm so interested in seeing how this plays out in the long term. I'm interested in seeing how this longitudinal data feeds into value. I'm interested in seeing how any future ROI of this entire system is determined to the point at which we can see that world of abundance, where we can start to see this reach the masses, so to speak. There's so much to be excited about in prevention. And this really is a movement. It's more than just you guys doing it. As you've said, there's a lot of people that want this to happen and believe it can.

1:19:04It's just that so many of us are, I guess, struggling to see the way that plot the path, as you've said, between now and then. My final question is if you have any takeaways for the health tech community from what you've already been able to achieve. There'll be a lot of founders thinking about business models in prevention or ideas or how to turn their ideas into reality. You've done all of this and more to the point of revenue generation and clinics worldwide. What advice do you have for other people building in the prevention space? Well, I think what most often goes wrong is that you start with an idea of kind of like, what can you get paid for?

1:19:44So let's say, hey, we can help some group improve a little bit on some disease and there's a payment code or something for that. And then they work backwards and then you spend years saying, oh, now we have an FDA approval or we're MDR approved and we're allowed to do it. Rather than saying like, what would be an amazing product? Like what would be an experience where people go like, holy cow, I can't believe you can do diabetes prevention that way or whatever. Because at the end of the day, you can have all the regulatory approvals in the world. You can have all the stats in the world. You can even have the reimbursement.

1:20:21If the product isn't worth talking about, and I don't mean it's bad. I just mean literally, if it's not so good that people say you have to see this, like, I'm sorry, but it's probably not going to go anywhere. And it's very easy in a highly regulated environment to focus on making the regulatory stuff great rather than making the product great. And the reality is you can be 3 ,000 % compliant and not be commercially successful. So at the end of the day, but it's the same as for any business. If you want to succeed as a startup, your product has to be really exceptional and very, very different from what exists because the inertia otherwise is just that people are not going to care.

1:21:03That would be my only advice. It's not much of an advice because it's like build a great product. Well, it solved the problem and then bring joy, isn't it? It's doing both ultimately. Yarmar, it's been an absolute pleasure. Thank you so much for joining me. For people that want to learn more about Necco Health, they want to book in for a scan, where do they go? Yes, if you want to try the scan, you should go to our website. If you want to work with us and experience the product, you should definitely check that out as well. We're hiring across not just London, but other places in the UK as well.

1:21:33So I would say anyone is interested in seeing kind of our take on prevention, I would highly encourage you to get in touch. It's been a pleasure. Thank you. Thank you so much. Hey, everyone. Thanks for listening and making it all the way to the end of this episode. Remember to subscribe, rate us and leave a review. And you can head to the description of this episode to follow me on all of my social media so you don't miss out on any of the latest health tech content.

1:21:59Thank you.

From the publisher

This week, James is joined by Hjalmar Nilsonne, CEO and Co-Founder of Neko Health. With Hjalmar yielding the power to shape the future of healthcare, James asks all the big questions. Can Neko pull off their ambition? What will it take? What lessons have they learned along the way? What challenges lie in their way?


Learn more about Neko: https://www.nekohealth.com/gb/en


Apply to be a guest: www.thehealthtechpodcast.com


Subscribe to Healthtech Pigeon 🐦: www.healthtechpigeon.com


Get in touch with James: www.jamessomauroo.com


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