The company OpenAI and Google call when a user is in a crisis: Elliot Taylor, Founder of Throughline

8 Sep 2026 · 1 h 11 min · 25 chapters

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In short

Throughline’s crisis-support infrastructure that helps platforms respond when users show signs of self-harm or other online harms, including integrations with AI and major search/social apps; the episode also covers product development constraints, partnership strategy, and the regulatory landscape.

Guest backgrounds

Elliot Taylor, founder of Throughline; former social worker specializing in youth mental health. He spent ~15 years in community services, running community homes and safe-house support (including domestic violence situations), and later moved into tech/product via experimentation and marketing/communications.

Key claims

  • Throughline builds the “response piece” after platforms detect risk, connecting users to location-specific help.
  • About a million people a week talk to ChatGPT about self-harm; Throughline is alerted and redirects them to relevant services.
  • Throughline runs experiments with a “do no harm” safety layer; e.g., showing accurate service availability reduced contacts to closed services by ~30%.
  • It aims to reduce barriers between distress and help, not to provide therapy.

Notable examples

  • Crisis support UI banners on ChatGPT/Claude; tool-call augmentation and “care navigation” conversations.
  • Partnerships with OpenAI, Google, Meta, and others; trust-and-safety teams as a small community.
  • Vetting ~1,500 crisis services across ~180 countries, including snail-mailed formal letters to government services.

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

Chapters

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Introduction to ThruLine and Mental Health Challenges

0:00 to 3:08

Explore the inception of ThruLine and its role in addressing mental health crises.

“How did you get into those rooms, interfacing with some of the largest product businesses in the world as a relatively small team working out of New Zealand?”

ThruLine's Product and Its Impact

3:17 to 4:50

Understand how ThruLine connects users to mental health support through various platforms.

“In fact, I've wanted to bring you into some format to have a conversation about ThruLine, as you know, for a long time.”

User Experience and Crisis Support Integration

4:50 to 6:04

Delve into how users experience ThruLine's support across different platforms.

“And so when they do, we provide the support, crisis support resources, like in partnership with OpenAI on ChatGPT.”

The Role of AI in Identifying and Responding to Risks

6:04 to 8:52

Learn about the AI mechanisms that help identify users in crisis and provide necessary support.

“So taking us back to the ChatGPT example, does it look like you see the word suicide or some variant thereof that your AI model has picked up as a signal of a kind of behavior or an intention that you're worried about?”

Elliot Taylor's Journey to Tech Foundership

8:52 to 11:24

Hear about Elliot's personal experiences that led him to create ThruLine.

“But in terms of our company size to the amount of people that we touch, which is pretty cool.”

Building Sensitive Products in Mental Health

11:24 to 14:00

Discover the unique challenges and approaches to building products for mental health crises.

“like you can only really make an impact amongst like this audience if you really understand their world.”

Enhancing Crisis Service Accessibility

14:00 to 16:42

Learn about the innovative UI changes made to improve user experience in crisis services.

“And so for us, like we have that safety layer and we don't do anything that might have a harm profile to it.”

Challenges in Mapping Global Services

16:42 to 19:40

Discover the complexities of identifying and vetting crisis services globally.

“you know, we had to do a whole bunch of work upfront, you know, on things like risk classifiers and guardrails.”

Cultural Sensitivity in Crisis Support

19:40 to 22:00

Understand the importance of local services in providing culturally appropriate support.

“then say to them, can I now automate a process to bringing you people in acute moments of crisis where we can't afford to wait for the person to write you an email with a stamp saying, I need help?”

Bridging the Gap in Crisis Care

22:00 to 25:58

Learn how to address fears and barriers for those seeking mental health support.

“And maybe then the other question I would have coming back to the sort of product experience, what have you learnt that might be surprising to the audience about how to handle that acute moment of care?”
Show all 25 chapters

Building Partnerships in Crisis Management

25:58 to 28:00

Explore the strategies for establishing partnerships with major tech companies in crisis management.

“really phenomenally interesting position to have massive impact on the people that touch your product.”

Building Trust Through Conversations

28:00 to 30:00

Learn how effective conversations can inform product development and sales.

“I think the approach that we've taken in those conversations has been really important.”

Understanding Customer Needs and Market Fit

30:00 to 33:00

Discover the importance of understanding customer motivations and market dynamics.

“And so, yeah, we've just become very obsessed with centering the customer and centering the user.”

Navigating Sales in Trust and Safety

33:00 to 36:00

Explore the role of passion and sponsorship in the sales process for trust and safety solutions.

“And I think I probably have that temperament to do that because ultimately what I really care about is like making a meaningful difference in people's lives.”

Regulatory Landscape and Its Impact

36:00 to 39:10

Understand the challenges and opportunities presented by emerging regulations.

“Like, does it matter if your partner is like, I'm doing this because the reputational risk is there or the regulatory risk, or it feels like a compliance easy, but it's not a passion area for them?”

Legislative Challenges for AI Solutions

39:10 to 42:00

Examine how current legislation can hinder innovation in mental health AI applications.

“And so, you know, for us, that's one of the things that we have to wrestle with a lot.”

Navigating Regulatory Challenges in AI

42:00 to 46:02

Explore how regulatory conversations shape product strategies for AI companies.

“and then, you know, legislates against those products.”

The Complexity of Social Media Regulation

46:02 to 50:33

Delve into the complexities and implications of social media bans and regulation.

“Do you have a guess about the direction of travel of all of these pieces of regulation and legislation?”

ThruLine's Vision for the Future

50:33 to 56:00

Learn about ThruLine's ambitious goals and innovative approaches to crisis support.

“My fear is I kind of don't know how we come back from it because once you've put those blunt instruments in...”

Navigating Support Pathways for Mental Health

56:00 to 58:20

Learn how Throughline helps individuals find tailored support options for mental health.

“employer, that whatever that entry point is, you just have a struggle and you're trying to figure out what your next step is.”

Identifying Key Markets for Mental Health Solutions

58:20 to 1:00:40

Explore how Throughline targets markets with acute mental health needs.

“Like how do you know where online outside of the platforms you're already integrated into, people are more likely to share the first tidbit that triggers, hey, first step might be the right.”

The Evolution of AI in Mental Health Support

1:00:40 to 1:03:20

Understand the evolution of mental health support from simple directories to advanced AI systems.

“For us like the differentiator for ThruLine is that like it takes a particular type of product experience to do that well for people who are experiencing emotional distress.”

Challenges and Opportunities in AI Therapy

1:03:20 to 1:05:24

Discuss the challenges of integrating AI into therapy and the market opportunities therein.

“The second thing is that like this, this navigation piece is a far kind of lower risk and safer play than doing like the therapy play.”

Building a Positive Workplace Culture

1:05:24 to 1:07:44

Discover how Throughline fosters a supportive and empathetic workplace culture.

“I see it as my role to have my team feel an appropriate level of grief and empathy for the suffering of others, coupled with a high sense of agency that they can do something about it.”

Shifting Perspectives on Non-Profit vs. Startups

1:07:44 to 1:10:00

Elliot shares a pivotal change in his beliefs about non-profits and startups.

“If I've got crap going on, like I can bring that into the room and I can trust that people will hold it.”
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Transcript

Automatic transcript. May contain errors.

0:00How did you get into those rooms, interfacing with some of the largest product businesses in the world as a relatively small team working out of New Zealand?

0:09Elliot Taylor:Probably like anyone, stubbornness and persistence. I kind of fell into becoming a tech founder. What exactly is ThruLine's product? We build infrastructure that connects a company's users to the right mental health or online harm support. You're already touching tens of millions of lives on an ongoing basis, which is pretty extraordinary. There is enough of that problem for us to be able to build the biggest mental health intervention the world's ever seen. Ain't no thing.

0:41It's not a wonderful time to be in the social media platform PR business. To give just a few examples, at the end of 2025, the Australian government became the first national jurisdiction to institute a social media ban for under-16s covering a host of platforms. and that set off moves in more than 15 countries worldwide. Last month, Meta was hit with an historic$17 billion lawsuit over the addictive effects of its platform, particularly for children. And it's estimated that in the US alone, there are more than 3 ,000 open lawsuits pending against these platforms, many focusing on the social and psychological harms brought about by the way they operate.

1:22But at the same time, something in the order of 70 % of the world's population have a social media account of some kind, or close to 95 % of the world's adult population. Stats only used by children are patchier, but the UK's regulator found that over 50 % of under-13s are currently on some form of social media, and in Australia, around 80 % of 8 - to 12-year-olds were using it before the ban. The reality is that social media platforms are an embedded part of our social fabric. And they're an integral part of how we communicate, create community, learn and stay in touch. Together with the AI platforms, they're also where a lot of us spend our time and share information about ourselves.

2:05And it's for this reason that they're also an important frontline for mental health services. It's into this crucible that ThruLine plays. ThruLine, which was founded by Elliot Taylor, a former social worker who specialised in youth mental health, is an ingenious platform provider helping social media platforms redirect at-risk users to mental health services in the moment. For example, it's estimated that about a million people a week talk to ChatGPT about self-harm. And if they do, through line, we'll be alerted and immediately redirect that person to a location-specific service they can speak to to get help.

2:45The scale of impact this one tiny company based out of New Zealand can have is mind-boggling to me. And this episode's all about understanding where that idea came from, what the company's evolving into, and even what product development looks like when you have people's literal lives in your hands. A warning. As you'll have picked up already, this episode discusses suicide and other forms of self-harm. We're including links in the show notes for support services should this bring up anything for you.

3:13Elliot Taylor:Over to Elliot. So first of all, Elliot, so wonderful to have you on Wild Hearts. Thanks for being here. It's a pleasure. So I wanted to have you on Wild Hearts. In fact, I've wanted to bring you into some format to have a conversation about ThruLine, as you know, for a long time. and that's because what it is that you do is so inspiring. But let's start with the sort of most obvious question for our audience. What exactly is ThruLine's product? So we build infrastructure that connects a company's users to the right mental health or online harm support. What that started as is a global verified helpline network.

3:51Elliot Taylor:So if you think, say, in Australia, people would be familiar with services like Lifeline or 1-800-RESPECT. There's services like that all around the world. And we've got a network of those services. And then that powers crisis support on online platforms like ChatGPT or Google Search or Pinterest or Tinder or lots of others. So that's where it began. And then where it's evolved into is building an AI key navigation layer over the top of that, which is helping them understand what's actually going on for a person and then connecting them to the right support, not just help lines, but other types of support as well.

4:26Amazing. I want to get into that. But maybe let's step back to what people know ThruLine for at the moment. Could you walk me through like a typical product experience for someone? How does ThruLine appear to them and what does it look like to interact with your product?

4:41Elliot Taylor:Maybe ChatGPT is a good example here. This is public data. About a million people a week talk to ChatGPT about suicide all around the world. Wow. And so when they do, we provide the support, crisis support resources, like in partnership with OpenAI on ChatGPT. So someone's coming to ChatGPT and they're saying, you know, I just don't want to live anymore. Through ChatGPT and an integration, we help that person be able to connect with like what the relevant helpline is for them, wherever they might be. That kind of theme follows from different products, right? you've got this kind of identification piece of like, well, you know, a person's disclosing something or there's some sort of user behavior that gives an indication of risk.

5:25Elliot Taylor:And then you've got a response piece. So say that's on ChatGPT, but on Google search, that might be, you know, someone searching about being in a domestic violence relationship. And similarly, we work with Google to make sure we surface the right information. Or there might be someone on Pinterest, you know, searching content relating to eating and body image or someone that might be someone on Tinder or Hinge who's experienced a bad date and needs help. If you think about like all the contexts where mental health needs or online harms crop up online, we're the people that help connect those people to the right support.

6:04So let's break that down. So taking us back to the ChatGPT example, does it look like you see the word suicide or some variant thereof that your AI model has picked up as a signal of a kind of behavior or an intention that you're worried about? And then there's a pop-up window that says from through line that suddenly looks like through line and says, actually, do you want to speak to Lifeline if you're in Australia? Or is it actually like a full integration, like a user through line building the AI that chats to that person and chats them through? I'm really curious about the kind of user experience layer.

6:40Elliot Taylor:Yeah. So like if we do some example like ChatGPT, so we don't do the detection, but when it comes to the platforms we work with, whether they're like AI or social media or search, like that is a often a content moderation piece. And that market is significant. You know, there's a lot of players and it's, you know, it's grown a lot over the last decade. The problem that these companies have had that they didn't really know how to solve was like, well, we find stuff. We know that this person's in need. Now what do we do about it? And so that's the part that Thrilline provides. We're the response piece.

7:14Elliot Taylor:So in the ChatGPT case, or it's the same on Claude, who we also work with, their classifiers are determining whether or not there's risk. And then we're powering that response. That can look different on different platforms. Like in ChatGPT and Claude, that's through a banner. you know we can also augment model responses through like a tool call and and you know pull our our resources in and show them directly in the model response with our our care navigation product that's where it kind of takes a step further right where we are holding that conversation where there's like some sort of risk or need being presented and as opposed to just like surfacing a resource that a person then can decide whether or not they want to access we then can have a conversation with them, manage whatever that risk might be, help them unpack that, understand their options, and then connect them to different types of support.

8:07Interesting. So can you give us a bit of a sense of, like you mentioned earlier, that a million people on ChatGPT a week, I think is what you said, demonstrate suicidal orientations. That's probably the wrong language. What's the kind of conversion, as it were, from like that, you know, they've used their detection tools to identify that a person it's triggered a call to through line. What does that kind of look like? Like, and how much is that handoff is visible to you? And do you measure?

8:36Elliot Taylor:Yeah. So we, we're measuring the contact moment, you know, across our, across our partners. Of course, these are large platforms, you know, I can't kind of shared numbers specifically. but I think like the theme is that this is happening at significant volumes and in some ways it should be obvious right like you know think about the moments that you've turned to Google or to an AI to talk about something that is sensitive or something that's private or that you want to keep private that happens a lot if you're thinking about the entire population of the world I've been thinking about this a little bit recently I would go as far to say that like by headcount, ThruLine has more kind of mental health touch points with people in crisis than anyone in the world.

9:26Elliot Taylor:But in terms of our company size to the amount of people that we touch, which is pretty cool. Yeah. That's an extraordinary thing to wake up every day knowing about what you do. We talk at Blackbird, as you know, a lot about founders doing their life's work. I know that you came to building this platform through an unusual path to founderhood. Can you share with the audience a little bit about how this came to be a company that you were building? Yeah, I didn't come through the tech path. I actually worked in community services and that type of thing for about 15 years. And it was in my early 20s that I had a really close friend who went through quite serious mental health, self-harm and suicide struggles.

10:10Elliot Taylor:And I fell into the support role with her with some friends and I found that incredibly grounding I felt like I was doing something that really mattered and then I spent about the next 15 years doing that with people you know through organizations I you know I also ran community homes and you know would have supporting people in the community and you know having kids kicked out of home like sleeping on my couch and being a safe house for people in domestic violence situations and that type of thing and so i i came to it as this experience of a person who has spent a lot of time sitting with people on the stoop in a time of need and trying to help them get through that moment i've also been kind of in i was always intrigued by technology and um and product and um you know probably came more from the kind of a marketing communications lens and i did a lot of that and I kind of fell into it.

11:07Elliot Taylor:I started kind of experimenting with different kind of ideas and some things worked a little bit and some didn't. And over time, like, I guess, fell into becoming a tech founder and have picked up everything else I needed to kind of know along the way. But I think for me, that's been quite beneficial because with the type of work we do, like you can only really make an impact amongst like this audience if you really understand their world. um like i don't i don't think you could be you know just a person that's like had free product roles or you know was a software engineer and then go like oh i'm gonna like start a mental health startup you know like you like having some sort of understanding of that world whether that's from lived experience or working with those people was like really really important yeah let's let's get into that because i mean i think one of the things i've always found so fascinating about your business and the team behind it is how you do product actually because of the very nature of the sensitive environments you're operating in, right?

12:07Like, you know, if I think about most product founders, there's a host of tools available to them amongst which is like, you know, simple A-B testing, like, okay, well, we don't know which of these feature sets is going to work best. Let's throw out like four or five of them and see what happens. And, you know, I imagine that some of those kinds of product approaches are just not appropriate for the kind of product that you're building because you're also dealing in, as you alluded to earlier, like some of the greatest number of touch points with people in crisis in the world. So I'd love to get a little bit under the hood on what it looks like to have taken your clinical experience and become a product leader with that in mind.

12:47How do you think that opens up opportunities to build product differently than someone who didn't have that background would? But also where does it have challenges and you've hit up against constraints because of this environment you're operating in?

13:02Elliot Taylor:Good question. I think the challenge when you're building in sensitive spaces like this is that you've got this kind of non-negotiable safety layer. You can't do anything that might create some sort of risk or has a risk of harming someone. Like, you know, the people that come to our products oftentimes thinking about ending their life that day. And so that's like a very different calculus to, I'm going to kind of like run this experiment to see if I can list conversion rates, you know, on the checkout page. Yeah. You know, like it's just like, it's like, it's very different. So you have this foundational safety layer, which you can't compromise on.

13:40Elliot Taylor:But I would also say that like traditionally when people have built product solutions like in the space, they haven't often used some of that toolkit of kind of like, you know, A-B testing or, you know, experimentation or like more iterative development. And then what I've seen is that you then kind of like create a solution that is okay, but broadly speaking, kind of poor and misses the like significant opportunity ahead of you or in front of you. And so for us, like we have that safety layer and we don't do anything that might have a harm profile to it. Like do no harm is like your foundation.

14:19Elliot Taylor:And we have clinical team members, you know, who are across all those things. But that doesn't mean that we don't experiment. It doesn't mean that we don't look at ways we can do things better. Like maybe to give you a particular example, like we run a network of about 1500 crisis services in almost 180 countries. and in one of our product experiences where we build and maintain the UI, the actual user experience, we show whether or not this service is open right now. But contact methods for services can actually change. Like you could have a service that is available over phone, text and online chat and those service hours might be different in their opening times.

15:01Elliot Taylor:We were just showing them all as being like the same, you know, this service is open or it's not. So what we ended up doing is we ended up sourcing from services what their actual opening times are per specific contact method. And then we ran an experiment where we changed the UI to basically see whether or not we could reduce contacts to services that were actually closed where the user didn't know they were closed. And so this was using like status indicators, like we would, you know, throw up a little green dot, like on a contact method for whether or not it's open and gray one out for whether it's closed.

15:33Elliot Taylor:In doing that, we actually reduced contacts to closed services. I think, by something like 30%. So these are people that we're, like, that's an experiment that we're running on people who are literally, when they're looking at a service, they might be thinking about taking their life. But there's not really a risk profile to that particular change. You're looking at doing something that is, you know, quite clearly better. Yeah. Because a missed call might be the only time they make an effort. That's right. That's right. So there's a lot of opportunity there. I think also then that goes into kind of what we've been building with our first step AI navigation product, you know, that has taken us, you know, a good while to be able to like get to a point where we have high confidence in it in terms of like deploying it with a customer.

16:17Elliot Taylor:And that's because it's kind of different to if you were doing like a, I don't know, CX chatbot play or something, you know, where it's like, it just doesn't have the same risk profile. You know, you could find like early adopters that are like, oh, you will just give this a go and hope for the best. It's like, if there's a chance that this person, a person talking to this thing might be thinking of hurting themselves, you better make sure that by day one, you can solve for that. And so that meant for us, you know, we had to do a whole bunch of work upfront, you know, on things like risk classifiers and guardrails.

16:49Elliot Taylor:Yeah. As opposed to it being an afterthought. That's kind of an interesting place you play. Like because you take this risk layer, you are trying to ensure that the handoff is over to somebody who's actually well-placed to help. And because you're sort of building out this network over time, it's not as straightforward as like, well, here are the like 10 best well-known players and I can be pretty confident that they're well set up to receive a referral as it were through 3Lion. What did it look like kind of doing that vetting process or the kind of deciding who's on the list? So we, like when I first started this, I reached out to kind of friends and like pulled together like a crowd work kind of moment.

17:30Elliot Taylor:And I just like set everyone up on like a Slack workspace. And there was maybe like 50 of us or something. And I was like, we're going to map every help plan in the world in a week. And this was like, you know, a number of years ago. And we are like still here, something like four years later, discovering services. Like it's a lot harder than people think. And we've got a lot better at it over time. Why do you think it's so hard? I think it's like, it's particularly challenging because you're trying to do it like globally across a range of topics, across a range of languages and a whole different types of operators who have differing levels of kind of investment or public presence.

18:12Elliot Taylor:So like something like Lifeline Australia, you know, we're talking about like a very prominent, comparatively well-funded compared to other services, the world service, you know, in a developed country. You know, that's very different to a government run service, you know, based somewhere in the global South and trying to get in touch with those services to figure out what they offer is hard. And in fact, our team is running an experiment right now because we've historically, we've just, you know, reached out to these services how you normally would where you like, you know, you send someone an email and you hope to get a reply.

18:45Elliot Taylor:But like one of our team members who works in the space, Simone, he was a diplomat and used to work in government services and so he basically thought about how when you're a government service like there's a formal procedure to reaching out and getting back to people and so we've actually been writing formal letters and signing them and we created like a through line stamp and we're sending out like you have a stamp i was going to ask if you had like a yeah no we do a wax um not wax but it's just like it's a stamp you know and it says like through line limited it uses like office of the CEO to make it sound very official.

19:19Elliot Taylor:Wow. And we are like snail mailing out to like, you know, all these government run services all around the world, because when you snail mail them, it then goes into a pipeline where they have to respond to you. Wow. As opposed to like an email where it's like, it just can be ignored. So that's some of the reason why it's so challenging. Yeah. I mean, but like, I think it feels ironic that you're snail mailing services in order to then say to them, can I now automate a process to bringing you people in acute moments of crisis where we can't afford to wait for the person to write you an email with a stamp saying, I need help?

19:58No, you're exactly right. There's a certain dissonance there, no?

20:01Elliot Taylor:Yeah, there is, but somebody has to do it. Yeah, extraordinary. Let's go further into that because you talked about 180 countries, I think, your technology services. I imagine, again, back to this product and user experience, Do you have a very different handling strategy for handing off identified people who are in moments of crisis to different types of services because of cultural linguistic differences? Yeah. So one of the benefits of working with a network is that we're referring to local services. So those local services are the experts in what support or cultural support or service provision looks like in their particular location.

20:45Elliot Taylor:So the approach we take is we have like a standard across the board in terms of like what we expect a service to adhere to. And so we make sure that every service is like qualifies according to that standard. And then that means we can have a singular promise to the user, which is like the laziest way to think of this is like, if I talk, will you listen? It's kind of a shorthand for it. And so can we have that singular promise to a user, then essentially be able to marketplace those services wherever you are in the world, you can access them and you know you're going to be getting something that is someone that will support you.

21:21Elliot Taylor:But because it's a local service, they're going to do that with an understanding of the cultural context and the other services that are available to you. So like, to be honest, if you tried to do it any other way, like it would be impossible. It's like whack-a-mole, right? Trying to like, if you were trying to like build a product solution where you're trying to solve across any type of cultural linguistic user intent. You'd have to make a lot of assumptions, I imagine, and they could be tricky. Yeah, yeah, that's right. So by being able to kind of like build that new work, we kind of, you know, we leverage the diversity and the like nuanced support of the network as well.

21:59Yeah, amazing. And maybe then the other question I would have coming back to the sort of product experience, what have you learnt that might be surprising to the audience about how to handle that acute moment of care? You know, like when somebody uses and is identified by a given platform, let's say, as being in a moment of crisis, uses certain types of language. And I think from an earlier conversation that we'd had earlier, you told me that actually a lot of those diagnostic tools that a lot of the products use need to account for more than the obvious words because people are privy to not using those words.

22:35They use what emerge over time as sort of vernacular to refer to that. So it's not even as straightforward as like write a line of code that picks up the word suicide or sexual assault or domestic violence. That's not going to capture the majority of the cases. But once that's sort of been done, is it just a case of how quickly can I get them to a phone number or a service, a chatbot or whatever the case may be that is available? Or is there something nuanced about the handling that you've built into ThruLine?

23:05Elliot Taylor:Yeah. I'll tell a little bit of a story maybe as a way to kind of loop back to this. So do you know the story of Airbnb and Photos? Yes. Right. But tell the audience. So before Airbnb became Airbnb, we knew they didn't have photos on listings. And of course, for Airbnb to make the business work, they had to increase bookings. One of the things they experimented with was taking professional photos for listings. And they noticed that that had a significant uptick in bookings. I can't remember what it was, but it was a multiplier, I think, in terms of the impact that it had. And so then they ran a whole paid project.

23:46Elliot Taylor:They employed professional photographers across the US and sent them out to Airbnb bookings and had them take professional photos. It was something like the first 50 or 100 hosts or something per city. No, it was way more than that. Was it? Okay. Honestly, they went to quite a crazy scale with it and spent a lot. But the point is, is that when someone was trying to book an Airbnb, like they had a problem to solve right which is like i'm traveling somewhere i'm going on holiday and i need somewhere to stay but they did not have the confidence to book at that place because they didn't know what to expect they didn't have visibility or if they did a visibility it was like kind of a crappy visibility it was a bad bad photo that didn't give a really good impression i tell that story because it is exactly the same when it comes to someone accessing mental health support or trying to get help when you've experienced an online harm you have a problem you desperately want help the thing you're experiencing is overwhelming and you also don't have the confidence to do something that is quite scary going and staying at someone's place that you have never met before without any sort of like yeah visibility into that experience is scary uh and like the crisis care sector they talk about this idea of like picking up the 600 pound phone you know like that that's what it can be like for a person in distress to to reach out for support and so the thing that we are fundamentally obsessed about is how do we address those fears and concerns that exist between a person in crisis and the help that is available to them.

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25:36Elliot Taylor:And that actually is a product question. That is at the heart of like what ThruLine does. Like when I think of ThruLine, ultimately we are trying to be a mental health and online harms user experience company. That's the intent, is the best user experiences in the world that reduce barriers between people and distress and being able to get help. It puts you in a really phenomenally interesting position to have massive impact on the people that touch your product. But I imagine, as you've alluded to, it has lots of very interesting and challenging product questions associated with it. Maybe let's turn to ThruLine 1.0.

26:14So, you've alluded already that ThruLine is already in its 2.0 phase and no doubt your product roadmap goes to 3.0. But I wanted to sort of ground us in what you have learnt over the years, building out the sort of part of ThruLine that people may know best, which is actually your integration with platforms like OpenAI, Anthropic, Google, Roblox, Discord, and kind of that first piece where you're just sort of taking a person in this moment of crisis and handing them off to a valuable local service that might be available to them. I'm really interested because it's obviously deeply political, this work now, right?

26:52It's in the media literally today, this kind of work that you're involved with. And I'm really interested in what it feels like also to be a product business interfacing with some of the largest product businesses in the world. How did you get into those rooms? How did you even get the partnerships that allowed you to have the scale that you already have as a relatively small team working out of New Zealand?

27:20Elliot Taylor:Probably like anyone, stubbornness and persistence. Did you write them letters with a stamp at the top? no but i would say that the teams that we work with the the kind of the department's called trust and safety and that is like a surprisingly small community and so if you can build meaningful connections and and build a modicum of trust then you can leverage that in a lot of ways and so for us the the core strategy in terms of like working with platforms has been to i i guess build some like core trusted relationships and then to be able to leverage those through warm introductions and then to be able to see if we can solve problems.

28:01Elliot Taylor:I think the approach that we've taken in those conversations has been really important. In the early days, you know, I didn't really know how to sell and, you know, I would go into conversations and, you know, I'd have this, like what I thought was a really pretty deck and jump on a call and, you know, and talk about what we do and you know try and convince people that it's a really good idea i've learned a lot since then and and probably the first things i one of the first things i learned was like how valuable it is to start a conversation by asking for their perspective or their advice so a number of years back now i went to the us um on like a three month trip and just like went around the us trying to find like as many people working in trust and safety as possible and having conversations with them but i like stopped myself from having sales conversations like i had a product but i wasn't going there trying to sell like i i went there and essentially like a journalist and i was just trying to learn and so i'd have conversations with people and um and just trying to understand their problems and in fact one of them i had a coffee and at the back of it um you know i was walking to my next thing and they said you're not a journalist are you because like that's that's like that's kind of like such the positioning i was taking was just really trying to understand understand their problems and the core of that is like you're you're getting to know someone so you're like you're you're building trust like as a person and they get to know me and they go like oh wow like elec he really cares about these problems and he's really he's intrigued he's learning fast and that builds a foundation that you can then work from and so you know then as the product matured we were able to you know reach back out to folk and and say like hey like you know this is what we've been working on do you think it could be helpful that really really helped a lot and then that's also kind of informed a lot of how we we sell today i've built kind of really strong philosophies uh you know i guess around like you know what enterprise enterprise selling looks like and and at the heart of that is like just never talk about my solution until i've really understood someone problem someone's problem so like my dream state is getting on a discovery call with a company and you know getting to the end of half an hour and looking at the time going oh my gosh oh well um we're at time i haven't even had a chance to talk to you about what we do you know i think we could be helpful should we you know jump on another call in a week i want to understand as much about their world as possible because people buy things when they want to solve their problems like they don't care they do not care about me or my product or my company, they care about solving their problem.

30:33Elliot Taylor:And so, yeah, we've just become very obsessed with centering the customer and centering the user. And I think that's gone a long, long way. So that's interesting. I mean, you've alluded to the famous discovery call that all salespeople, founders and otherwise need to learn. Of the sort of three things that can come off a discovery call, one is the typical version is that it sits firmly within a sales process. And the idea is extract information from, you know, in the transactional version of this, right? Extract information from a potential customer that allows you to better tailor what your product already does, you know, change slide seven to slide one, because that's the thing that they care most about and, you know, power it back to them.

31:19I mean, there's all that sort of mirroring stuff, you know, there's loads of science in selling, right? So one version of the version of a disco call is transactional. It's still with an intent to sell. And it's just how do I do that better version of selling? Another might be that discovery is actually part of the product evolution input process, which sounds like you were using that a little bit. And then the third, which I think is quite intriguing, is you've just gone after it as a trust building exercise and relationship building exercise. How would you sort of place each of those three things in terms of what it's given you?

31:54And maybe on the product side, you know, in your three months, did it radically change the way that you were approaching the problem to take that approach with customers? Or was it really that it just helped you have a second version of that conversation?

32:05Elliot Taylor:Yeah, I actually came to the end of that three months thinking there's not a business here. Really? Yeah. What were you trying to build at the time that was different? I mean, we were doing, you know, Thrilline V1, you know, which was like a help line network integrated into online platforms. But I came away feeling like, yeah, like there's a problem to solve here, but, you know, there needs to be, you know, a level of pain in terms of like how to solve that. And I just didn't feel like I came off the back of that and that the pain was acute enough for anyone to be able to pay for a solution. What's interesting about that is like I turned out to be wrong probably in quite a matter of months.

32:44Elliot Taylor:But I think that kind of proves the point is that like I went in with enough openness and humility to really try and genuinely understand someone else's world. So then I can figure out like how what I'm doing might be able to to meet it. And I think I probably have that temperament to do that because ultimately what I really care about is like making a meaningful difference in people's lives. And so like if it's just not going to work, like I just just don't want to do it. um i'll go do something else like life is really really short i don't want to waste my time yeah i mean i i certainly think for us a part of the insight like i you know i gathered on that trip and continue together over time is is just understanding like what the particular motivations and levers are like amongst amongst our buyers yeah you just i think as a as a company you always want to be getting more color on that you know it's like it starts off as a sketch on a napkin and hopefully your company at full strength, it's a beautiful Monet or something, you know?

33:49Elliot Taylor:And so I think that really helped, you know, because of my background, you know, I came from this from a perspective of really wanting to help people in crisis, but, you know, recognizing that there are, there's a whole range of levers, there's reputational risk, there's regulatory risk, there's duty of care, that there's all different types of roles and motivations even within companies and figuring out who might be your relevant sponsor. Yeah, so learned a lot. So, I mean, I think probably anybody listening to this may be asking themselves the question. We're talking about some of the biggest, best well-resourced platforms in the world.

34:23They already do the identification piece, as you alluded to earlier. Why is there actually still a market for ThruLine to do anything for these big platforms? Like, why wouldn't they just build it themselves?

34:36Elliot Taylor:so it's hard to be able to build a global network that is reliable and that you can trust and then to be able to get that into product despite these platforms being very large in the user base and large in their teams they're actually the amount of people that are tasked with solving that problem is quite small so you know oftentimes when we're talking with a platform you know i'm talking with like one or two people who are trying to solve this who have like no product and engineering resource available to them so trust and safety is often seen as a cost center it can be challenging to try and get the resource to do the the things that these team members want to do and so if we can shortcut that for them and basically say like hey you're not going to have to build this you're not going to have to maintain it and it's going to be infinitely better than anything you would do and it's going to save you money.

35:32Elliot Taylor:Like then it just, I guess it becomes like any other type of value proposition where it's like, well, yeah, like this is better, quicker, faster. It makes sense. I wanted to then pick up, I guess you alluded earlier to different platforms and even within organizations, you're dealing with different motivators. You're thinking about enterprise sales, which often involves, you know, who's the sponsor, who's a potential impediment to the yes. How much of getting through line over the line, as it were, is about someone championing because they deeply care about the problem? Like, does it matter if your partner is like, I'm doing this because the reputational risk is there or the regulatory risk, or it feels like a compliance easy, but it's not a passion area for them?

36:14Like, does that matter to you? How does that show up in sales processes for you? And what do you make of it?

36:19Elliot Taylor:So because we work with trust and safety teams, like it's littered with those types of people, you know like trust and safety folk are often people that have come from civil society i know people that work in trust and safety who think the internet is net negative and that's why they work for like a large platform because they're trying to like make the whole thing better you have that benefit you get on a call with a trust and safety person and they already really care and so you're you're actually on like the same side of the aisle where you're you're both standing there going like hey we we we want to solve this problem obviously we want to solve this problem you know we just need to find a way to be able to do that you know and and they're trying to use their levers as well because they might not be the ultimate decision maker or the budget holder they may have recognized a duty of care we may have been talking with them for like six to twelve months where they really want to do something but then there becomes like a reputational risk moment for that platform and so then they come back to you and they say hey this has actually happened and so you know finally we've been able to get some executive sponsorship on this.

37:23And so I think we can do something now.

37:25Elliot Taylor:It's recognizing that the people we're talking to are on our team. We have to work with them on understanding what the levers are for them. And it depends on the person, depends on the platform about how overt or opaque that messaging might be. But the more you can really get on site and understand this is the problem that you're trying to solve and here's the motivations and the drivers behind it, the more you can enable that sponsor to have everything they need in order to to get it over the line and like our our job is to make them the hero like we're not yeah we're not we're not Skywalker you know they're Skywalker we're Yoda um and so our our job is to make make them the hero and they were like this is the thing like when when you when you integrate through line and you get something in your product it's like we can help a lot of people and it can be some of the most impactful work that you do Yeah.

38:22Well, I'd love to get into, you know, the reality is that ThruLine is building right in the heat of some of the most interesting regulatory developments happening around the world. So, obviously, here in Australia, we, you know, relatively recently implemented an under-16 ban on social media. There's a UK Online Safety Act in play. The EU, US are all looking at this, some open court cases. I'm really curious, what does it feel like building product worked so deeply in the heart of one of the sort of most clickbait worthy sort of discussions that is happening in technology? Like, is it a thing that you're very aware of as a team or are you sort of just used to it and keep your heads down and keep doing what you do?

39:05Elliot Taylor:No, I mean, we're very aware of it. Yeah, it's got benefits and challenges. It certainly provides a lever and there's a wave of regulation that's happening globally and also reputational risk certainly ai companies have seen what has happened with social media and have attempted to be a lot more front-footed and trust and safety and that kind of makes them rhetorically trapped you know like you you set yourself up as a b corp or you you have a narrative around you know wanting to build safe general purpose ai and if you say that like you then kind of have to invest in it yeah that's certainly like been very useful and it's and it's it's created a lot of opportunity for us also like like regulation is generally quite a like a blunt instrument that the challenge that we find is that especially in the ai space is that there is not enough understanding of how platforms work how this technology works how user psychology works in order to legislate effectively and so what's happening especially in like the the mental health space with ai is there's this kind of conflating of consumer llms with like llm technology so it's like it's like saying that the internal combustion engine is like the equivalent of ford or the ford motorcar like like those things are different like like llm is a particular technology that has like far-reaching potential in use cases and chat GPT and Claude and Gemini and Grok or whatever are particular applications of that technology and so that simplistic understanding then results in the in legislation that tries to solve for risks that might be present on like a consumer LLM standpoint but then walls us off from the potential of this technology to actually make a difference to the very things we care about.

41:06Elliot Taylor:And so, you know, for us, that's one of the things that we have to wrestle with a lot. Like we're building AI for mental health. We're not building therapy. We're not building a coach. We're not building a companion. We're building something to help a person in distress navigate to the right information or support for whatever they're going through. There is incredible opportunity to address fears and barriers and to smooth the path for a person to get help using this technology. We live in our stories. To be able to tell us my story, like a teenager doesn't know what sextortion is. A teenager says, I share my notes and now they're asking for money.

41:47Elliot Taylor:And so there's amazing opportunity to use this technology to help a person be able to get to the right support just by talking. If the legislation just views AI as just being like consumer LLMs and then, you know, legislates against those products. Like we can end up in a situation where we can't even develop the types of innovations that we need to solve these problems. And so that's one of the things that like concerns me and we have to stay abreast of is like, you know, when we're launching products in certain jurisdictions, it's like, does our product break this legislation or not? Even though it's fundamentally different to what the legislation was purpose built for.

42:26Yeah, interesting. I mean, it puts pressure on you to engage in a kind of regulatory conversation or at least be aware of it where other products in less sort of hotbed areas don't have to. How does that sort of affect your product strategy or the sort of go to market strategy for you? Do you actively engage with policymakers before getting in or do you decide to be one of the voices trying to educate policymakers on the difference between the fundamental underlying technology that creates and makes possible an LLM that could save lives and the wrapper layer of like how it's deployed, yes, you may have views on how it approaches that.

43:05Elliot Taylor:We're trying to do more of it. It hasn't historically been a main focus, you know, largely because we've been obsessed with our users and our customers and our product. So, you know, having the capacity to maybe like do that upstream work hasn't, you know, we just haven't really had it. We did have one scenario where we like, we chased down the people who are tasked with implementing SB243, which is like a Senate bill in California around like suicide risk on companion chatbots. And like for a lot of connections, we ended up talking to like a Department of Health in California or something who were basically like given this legislation and they were told like, hey, you're the ones that are, you know, tasked with implementing it.

43:44Elliot Taylor:And we were asking them like, okay, so what are you going to do? And they're kind of going like, we don't know, we've just been given this. You know, and it's like, it's completely toothless. platforms are supposed to report on what they're doing, but they don't have to. And if they don't, then nothing bad happens. Like that's part of like where we've had these frustrating moments. We're definitely trying to do a little bit more upstream stuff. Like one of the things that we've learned is that like platforms want to solve these things globally. So regulation in one jurisdiction actually ends up having a domino effect.

44:20Yeah. I mean, the social media ban seems to be having a bit of that effect.

44:23Elliot Taylor:There's a bit of nuance there because that's slightly different. Because if you have a social media ban in one country, then that provides a precedent for another country to say, hey, we want to do the same thing. When it comes to AI products, AI companies don't really want to have 200 versions of their product. And so the thing is, when you solve that safety issue, once you've solved it, it's like marginal cost to then solve it for the rest of the world. Like all the effort is actually in the product and policy work to solve that particular problem. So if you take something like suicide risk and you go like, okay, cool, we want to do a better job of solving this problem.

45:03Elliot Taylor:Like once you have done it in one place, like there's no reason why that platform doesn't then just roll it out to the rest of the world. That then creates this useful lever where if you could have legislation in one jurisdiction that effectively creates the requirement for like a better approach to say something like source-side risk. Yeah. And then the companies then enact that. They're then going to do that for the rest of the world. Like it's just the dominoes just fall. And so that's one of the things we've been thinking about, you know, particularly in the US because, you know, that's where, you know, the public companies or, you know, investors in private companies are based.

45:42Elliot Taylor:You know, you can also have the lever of state legislation versus federal legislation there. And so there's an opportunity here where, you know, if you could get something over the line that is well scoped and appropriate, you know, and it's built for someone in Nevada, you could, you know, have that making a meaningful impact to someone in Brazil or the Philippines or something like that. Yeah. Do you have a guess about the direction of travel of all of these pieces of regulation and legislation? In what space? Because I guess you've got AI, you've got social media, and my opinions probably diverge depending on the type.

46:16Elliot Taylor:because the police platforms are very different. Yeah. Well, maybe let's start with social media because they are the ones that have been sort of first hit as it were. And, you know, longstanding court cases that have led to regulatory approaches that some would describe as overly paternalistic and simplistic to deal with what's much more complex. And other people would say, well, they've been waiting for the industry to step up in self-regulation and they haven't. And so, they've chosen to take a blunt lever. Like what's your take on how all that stuff is likely to play out yeah i mean we're seeing it already right i think there's a is about a dozen countries in the world that are considering social media bans as as they're called and i i think we're just going to see more and more of that like i said i think it's a little bit of a blunt instrument like from what we've seen in australia as well it's like you know we're still we've still got young people that are like they're adept at using technology you know like they're still able to kind of get on these platforms and they want to connect, they want to be entertained.

47:13Elliot Taylor:And so whilst it may have some impact in terms of like lowering risk for some populations, I think what it does is like it creates a simplistic answer to a very complex problem. But it's also hard to create, it's hard to have the appropriate solution or answer because these bans happen because of groundswell, because of simplistic media narratives, because they're easy wins for government if they have a constituency that's really asking for that. What I'm hearing you not say is that it's inaction on the part of platforms that have a capacity to design technology away from the harms. I mean, I imagine that comes from a knowledge that it is genuinely difficult for these large social media platforms to eliminate the risk that this sort of community thinking about it for 25 seconds believes they should be in a position to do so.

48:06Elliot Taylor:Yeah, I mean, these are societies. I think that's what we have to recognize is that when you're talking about like a large social media platform, it's the equivalent of the people in your country, you know, and trust and safety team members are like the policy people. They're like the social development ministry. They're like the police, like they're the ones that are trying to figure out like how to make this thing safe but the police will never completely make your community safe you know like there's always going to be bad stuff that happens and so of course regulation is a lever and it's a really important one and so if particular harms are happening in our society we want to make sure that you know we legislate against those in order to reduce that harm the same thing that happens with platforms but i think i think that's kind of the point is that like Because these are societies, your instruments need to be as specific to the harms that are happening.

49:02Elliot Taylor:But often they're incredibly blunt. The equivalent of saying, just don't go to that part of town anymore because bad things happen in that part of town. It just does not work like that. You have to think about, what is that part of town? And what are the particular challenges there? And how do we solve those particular challenges? I think the challenge here is that someone that worked in trust and safety said to me a year or so ago, we have got a lot better at building platforms with a billion users than we have in building the human infrastructure to support them. whilst technology and online platforms have eaten our lives and we spend our lives on them the rest of our institutions are still the same as they kind of essentially were 30 40 50 years ago but the the fundamental way that we move and be in the world and connect with others is inherently digitally connected right now but none of the institutions are caught up with that and so what that means is that when we look at the problems that are happening we can't have nuanced graded instruments to try and solve for those specific problems we just reach for really blunt ones we go like oh well this is like this is a really bad problem we should get rid of it it's like i think with with online platforms like the metaphor of cars is like is a really clean one because when when cars first came out you know there was all kinds of crises of like crashes and harms and all these problems and it took like 50 years for us to get seatbelts but people recognize that like well cars have this incredible inherent value and so we need to have very specific types of legislation to make sure that they are safe so we need to have seat belts we need to have airbags you know we need to have licenses where people earn the right to be able to drive we need to have speed limits like you know if you think about all the different types of legislation that exists when you're on the road it's very nuanced compared to like the legislation that exists when we talk about doing things online, which is often very blunt.

51:05Elliot Taylor:My fear is I kind of don't know how we come back from it because once you've put those blunt instruments in... No one wants to be the person that was like, I removed it and then some horrific singular event happened the next day, right? The story writes itself. Yeah. If we wipe the slate clean right now and we went, hey, this is what society looks like in terms of online behavior and these platforms, the way we build our institutions and everything, like we just look fundamentally different but we're having to retrofit and i understand there's a reason for that but it means that we we basically do it imperfectly all the time and i think i mean this also leads to why freeline does what we do is because like my belief is that well the the best way we can make a difference here then is like using market levers you know the the government will never lead it will always follow and so if i really want to make a meaningful difference where the most people are in need, which is online, then I need to figure out how to use market forces.

52:02Elliot, we've talked about ThruLine 1.0 and through that, you're already touching tens of millions of lives on an ongoing basis, which is pretty extraordinary. But I know you to be very ambitious about what ThruLine can be in the future and you don't want to stop at what you've built so far. What are you doing now and what gets you most excited?

52:20Elliot Taylor:So this kind of tracks back to like my thesis around like building a startup, which is that building a startup is all about earning the right to solve the next problem. You might start working on a particular problem, but you know, that's not what the ultimate vision is. But you know that like you have nothing like you have no product, you have no customers, like you've got to earn a right to get to the next one. And so for us doing the work that we did with online platforms and connecting people to crisis resources around the world was like solving a very obvious problem. But the thing that I have like always been aware of is that it actually does quite little to address the fears and concerns that people have about accessing help.

53:02Elliot Taylor:And it doesn't recognize the different types of help that might be available to a person. It's like it's quite a one size fits all answer. and also that a person in distress crops up anywhere that's whether that's an online platform or through a health system or through an insurer or an advocacy organization or an employer or an education provider and that person in distress like doesn't really care about where their entry point is they just want it to be easy to be able to figure out how to get support the thesis was always to earn the right to be able to like work on a really more gnarly problem which really is about making it easier for people to get to the right help the metaphor i use to share this is like imagine you're standing at the edge of a ravine and uh out in front of you stretches a dozen bridges and you want to get to the other side on top of that you have a debilitating fear of heights.

54:02Elliot Taylor:That is what it is like for most people in distress to figure out how to get help. If you are struggling with your mental health, if you have experienced an online harm, that's the experience. You just do not know what bridge to walk across. And you're also just really, really scared to do any of it. What has really excited us is that the advent of AI technology enables people to just come with their story and come with their lived experience and start with that. And then it's our job to try and understand that and then to try and point them in the right direction. And so that's what the future of what we're doing with our first step product is, is building a platform that enables like customizable instances to solve that across anywhere someone might be in distress online platforms and anywhere else.

55:00So what might that look like? You mentioned earlier through healthcare providers. Imagine I kind of walk into a GP. One would hope that they are trained to know how to redirect me to services, but we all know that's not uniform across the world and access to those services, they may not know even who best to send you to. Could ThruLine be involved in that interaction and how would they be? Yeah.

55:24Elliot Taylor:So we're thinking predominantly about that like online moment it's that sense of like where someone is in distress and they want to maintain anonymity so it's it's maybe looks a little bit more like you're you're struggling with your mental health but you don't really know what to do but you land on a website that you trust whether that's like a website that is a large government funded promoted one, you know, or whether that is a direct-to-consumer therapy website or an organization that you trust, or it might be that you're a student at a university, or it might be through your employer, that whatever that entry point is, you just have a struggle and you're trying to figure out what your next step is.

56:09Elliot Taylor:And so what a first step does is it basically gives the opportunity to be able to start with your story. And then we unpack that story with you. And then we work with our customers to plug in different types of support pathways. And so those support pathways aren't just things that we bring to the table. They're things that they might bring to the table. So like in the case of like an education provider, that might be like, well, here's the different types of counseling options or support group options, or here's even maybe products that we've built that, you know, we've purchased that can support you.

56:41Elliot Taylor:And so to be able to plug all of those into like a singular front door where a person can have a conversation and they don't have to unpick it themselves. It's the same, Kate, as if you were telling me about something that was really hard for you that you were struggling with. And in my brain, I know all the stuff in your area that might be able to help you. But you don't. You just have your story. That's all you're bringing. And so if I as a friend was to help you, then I would recognize my place. I'm not I'm not a therapist or I'm not a psychologist. I'm here to help navigate you, to help you figure out what is the next meaningful next step.

57:20Elliot Taylor:And so there would be a couple of agents doing some work, right? There would be the part of me that's talking to you, that's trying to hear your story, that's empathizing with it, that's asking questions, that's trying to get some clarity on your situation. But then I would also have some agents in my brain that are mapping what you're telling me to what might be some support options available to you. And then I'm going to weave those in and I'm going to talk to you about what those options might be and see what you might feel confident to do or not confident to do. You're going to have particular constraints.

57:53Elliot Taylor:You're going to have particular needs. You're going to have particular fears. And so my job is to make you feel confident that by the end of this conversation, you feel like you have a meaningful next step. And if you take like any organization that represents people experiencing that, they care about making that as seamless as possible. Absolutely. But how do you think about prioritizing which customers you go after first? Like how do you know where online outside of the platforms you're already integrated into, people are more likely to share the first tidbit that triggers, hey, first step might be the right.

58:37you know, interface for this person at this time? Yeah.

58:40Elliot Taylor:So for us, like we've, I guess what we're trying to do is like hunt down the markets that are already feeling this pain acutely and already have like a high duty of care to be able to solve for that. You know, we're seeing a lot of that momentum in like the community and public services space. You know, these are organizations or sometimes even government entities who their like expressed mission is that navigation. Like that's why they exist is to try and figure out how to help people get to the right support and information. And go from a sort of static website with some information onto it.

59:17That's right. To, hey, you can actually use us as a portal to get where you need to go.

59:21Elliot Taylor:Yeah. And it's generally like there's thousands upon thousands of these all around the world that governments have funded or that organizations have spun up. And that's like one of the key things they celebrate in the annual reports is like, hey, look how many people came to our website and went through this flow. and they ended up reading these articles because that is what the internet used to be where like user behavior has fundamentally changed and AI affords an opportunity for a person to be able to like have more input into the way that they access support. And so, yeah, that for us is like a really significant beachhead.

59:55Elliot Taylor:The other kind of one here is there's lots of service provider organizations that do struggle with having enough supply to like meet the demand. And so our technology has the ability to solve in that space as well, where it can function as a kind of intake layer to kind of keep someone warm or even to provide someone support, you know, when there's like lower risk presentations. Yeah. And so like doing that in like the mental health space or the online harm space in and of itself is like a very significant opportunity. And so like we're quite squarely focused on being the best in the world at that bit.

1:00:33so i mean a overly simplified version is like the 1.0 is a sort of redirection service to a really sophisticated triaging layer uh in between those two parts of the market the place where people find themselves presenting with something and the place where they can get the best help is that a fair description of the evolution yeah i mean it's the difference between like a yellow pages and a conversation nice if i'm landing in a new city and i don't know where

1:01:01Elliot Taylor:to eat it's like back in the day you open up your lonely planet and you go like okay what are the restaurants here this is a guide it's you know it's it's having someone that's walking around with you and talking to you about what you feel like eating yep and you know understands your dietary needs and and then it's like well opens up your wallet and figures out whether you can actually afford it that's right and i've like i've got the place for you you know um and so like it's a user experience problem right and people are solving similar user experience problems with conversational AI like across dozens of markets.

1:01:32Elliot Taylor:For us like the differentiator for ThruLine is that like it takes a particular type of product experience to do that well for people who are experiencing emotional distress. Yeah. It's far less transactional and the risk management piece is like is foundational and so it's very very hard to solve for and so like our bet is that there is enough of that problem for us to be able to basically like build the biggest mental health intervention the world's ever seen ain't no thing and what do you what do you make of the kind of can you imagine yourself moving into and then we pick up more of the clinical support on the other side i mean there's obviously this huge boom in AI psychologists and various therapeutic manifestations of AI.

1:02:22It sounds like you're not doing that right now. You're still focused on how do we connect these people to these trusted networks of suppliers, but do you imagine that changing?

1:02:31Elliot Taylor:Plausibly, but I think there's two reasons we've taken the approach we've had. One is I actually believe this is a significant overlooked market opportunity. The kind of the therapy ai builder it's almost an obvious way to use this technology but if you're trying to build like a really meaningful company you have to have a buyer and the risk profile of people choosing to like buy ai therapy you know whether that's like a an individual consumer right through to like a company like you're not going to see enterprise platforms anytime soon like stop the eap subscriptions and just say, just talk to this bot.

1:03:08Elliot Taylor:There's just too much risk profile there. So like pragmatically, like there's a really significant market opportunity there. And so we're like, well, we want to make the biggest difference we can in the shortest amount of time. So let's do that. The second thing is that like this, this navigation piece is a far kind of lower risk and safer play than doing like the therapy play. Like for us, like we don't maintain memory there's no ongoing relationship you know that that in and of itself like lowers the risk profile significantly where on the therapy side like it is still largely unproven and you know we've only really got one rct on generative ai like applied in a therapy context that is like shown some early results but we've got like a long long way to go i think before we can really really prove that out.

1:04:00Elliot Taylor:And I think there's also like, it creates a heck of a lot of risk as well. If you are trying to bite off, like I'm having an ongoing relationship with this person and I'm, and this is an AI, like the, the duty of care is like very, very, very high. And clinicians are trained to be able to deal with that. And there's, there's all kinds of kind of structures and accountabilities to make sure that's done well. Trying to solve for that in an AI context is very, very challenging. So when I kind of look at it, you know, it's like, well, actually like, why are we overlooking the significant market opportunity that is available to us right now?

1:04:33Elliot Taylor:And for us using the earn the right image again, that could be a part of the future of throughline, but we'd have to earn the right to get there. And I would have to see the market need for it in order for us to feel like it's going to be a meaningful area of growth. Awesome. Anyone listening to this is probably thinking, what on earth does it feel like dealing in every day in the sort of themes and content that you and your team deal in. Can you share a bit about like, how do you cope with that reality? It's incredibly motivating. And I don't have a single day where I think, what's all this for?

1:05:09Elliot Taylor:But it can also be paralyzing because you know the extent of the need and you feel so far away from the destination. As a leader, trying to strike that balance with my team is hard. I see it as my role to have my team feel an appropriate level of grief and empathy for the suffering of others, coupled with a high sense of agency that they can do something about it. We have a number of rhythms at our work to try and do that. And I'm sure that we will learn more about how to do that better. Where did you get the inspiration for those? What are they? I think what it is, because I worked in community services for a long time, building meaningful connection with other people at a human level is like bread and butter for me.

1:06:02Elliot Taylor:And I want to be in a workplace where we know each other at a human level. And my fundamental belief is that you can't achieve anything meaningful together unless you have genuine human relationships with one another. And so like by design from day one, I've made sure that through line centers the person and our team, not just their role. So some of those rhythms, you know, for us look like the way that we do team meetings and check-ins. When we come to a weekly team meeting, like we start with an individual check-in, like every single person. It's not, we don't go straight with the agenda oftentimes it's like you know a question about something you did on the weekend you know how are you feeling you know at this moment in time and some people are really struggling and some people are doing really really good that's a kind of key part of our like one-on-one culture as well like it's making sure that we give oxygen to that person's life not just to their work and so that means that like a lot of times with team members like i'm not talking to them about the work stuff like if i'm like i might do it i might have a one-on-one and like two-thirds of it is is talking about what's happening at home like to me that's really really important because that builds a sense of trust that like hey this is this is like really hard what we're doing and it can be really affecting and then i've also got like my own stuff going on but like i i believe leadership is like here in the trenches with me and and has my back and and can can listen to me and can can empathize and yeah and so having the person at the center like has has been one of the the biggest things for us and i think we see the fruit of it you know and our team you know consistently people talk about through line being like no other workplace that they've ever had and i think that's because like when you walk in the doors at through line you walk in as kate or you walk in as elliot and we interact at that level as opposed to our roles or our functions or our hierarchy.

1:08:03Elliot Taylor:If I've got crap going on, like I can bring that into the room and I can trust that people will hold it. And culture replicates, you know. So it's my job to be able to set that culture from the top and make sure that my leadership, you know, also sets that culture. And then the things that's most joyous is when you see, you know, new team members just replicating their culture themselves. That's incredible. Elliot, our final question is always, what's something you've changed your mind about? I spent 15 years working in the non-profit because my North Star is to reduce suffering in our world. And I applaud anyone, whatever you're doing, if your attention is given to those that are in pain or hurting or in need.

1:08:56Elliot Taylor:For a long time, my belief was the best way to do that was under a non-profit model. I came to realize that the incentive structures that exist not always but in many cases in non-profits disincentivize innovation and iteration and the ability to actually solve problems at a meaningful scale. and so my journey into startups was actually because i i wanted a better vehicle to be able to solve the types of problems that i want to solve if you talked to me 15 years ago and you like like 15 years ago me talking to me now would be like i don't really know that guy like but why is he doing what he's doing but you know for me it's actually like it's like it's a deeper level of mission alignment.

1:09:49Elliot Taylor:You know, I feel like I'm finally at a position where, yeah, I'm able to be obsessed about aligning all the incentives from me right down to our users and everyone in between to make the biggest difference in the world. And because of that, I'm making more impact than I ever have. Congratulations, Elliot. Thank you so much for being on Wild Hearts. Thank you, Kate. It's been a joy.

1:10:13Thank you so much for joining us for another episode of Wild Hearts. If you want to learn more from other ambitious people building, designing and creating the world that we all want to live in, then please hit the subscribe and follow button. This podcast is produced by Camilla Herring from Blackbird. Our marketing genius is Laura Cofford. And our editor is Andy Jones from Colour and Sound Creative. Thank you all so much for listening and I'll talk to you next week.

From the publisher

Content note: this episode discusses suicide, self-harm and family violence. Support details are at the bottom of these notes.

Before Elliot Taylor was a tech founder, he spent fifteen years sitting with people on the worst days of their lives. He ran community homes. He had kids sleeping on his couch after they’d been kicked out of their homes. His place became a safe house for people leaving violent relationships. And the longer he did it, the clearer it got that the model he was working inside couldn't reach the scale the problem was actually at.

So he went looking for a more scalable way to have impact, and to his own surprise he founded a startup.

Throughline builds the infrastructure that connects people to the right mental health or online harm support the moment they go looking for it. Someone tells ChatGPT they don't want to live anymore. Someone searches Google for a way out of a violent relationship. Throughline is the layer that gets them to a real service in their own country and their own language, one that's actually open when they call.

In this episode, Kate asks what he's learned building a company in a place most founders would never think to look. They get into why fear, rather than any shortage of services, is what stands between a person and help. How you experiment when being wrong isn't an option. What it's like building product while the laws that govern it are still being drafted around you. And how you look after a team who spend their days reading the hardest things people write.

Elliot's ambition is to build the biggest mental health intervention the world has ever seen.

If you need support: Lifeline 13 11 14 (Australia), 1737 call or text (New Zealand), 1800RESPECT 1800 737 732 (Australia, family and sexual violence).

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