Teaching Computers to Smell?! The AI That's Digitizing Scent

7 Nov 2025 · 53 min

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In short

Podcast Episode Summary: Teaching Computers to Smell?! The AI That's Digitizing Scent

Podcast Overview Title: The Neuron: AI Explained Hosts: Grant Harvey and Corey Noles Guest: Alex Wiltschko, Founder & CEO of Osmo Release Date: [Insert Date] Episode Description: This episode discusses the groundbreaking work by Osmo in teaching computers to digitize scent, exploring concepts such as scent teleportation, AI-designed fragrances, and potential applications in disease detection.

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Key Concepts and Discussions

  1. Digitizing Smell
  2. The Analogy of Other Senses: Just as sound and vision have been digitized, smell can also be digitized through a three-step framework:
  3. Reading: Using chemical sensors (like spectrometers) to convert smells into digital signals.
  4. Mapping: Creating a complex data map of olfactory receptors (300+ types) that correspond to various scents, which is much more complex than RGB for colors.
  5. Writing: Translating digital signals back into olfactory experiences.
  1. Osmo's Innovations
  2. Scent Teleportation: Osmo achieved the ability to "teleport" scents, allowing users to experience smells from a distance.
  3. AI-Designed Fragrance Molecules: Osmo has created new fragrance molecules that have not existed before, transforming fragrance design from a lengthy process (up to 2 years) to just one week.
  4. Osmo Studio: This platform allows users to design custom fragrances using AI, democratizing the fragrance creation process.
  1. The Emotional Connection of Smell
  2. Scent and Memory: Smell is directly linked to memory and emotion due to its unique wiring in the brain, allowing it to evoke powerful memories and feelings.
  3. Potential for Disease Detection: There is significant potential for this technology to be used in early detection of diseases like cancer and Parkinson’s by analyzing the molecular signatures associated with these conditions.
  1. Future Applications
  2. Fragrance Business Model: Osmo is focusing on serving emerging brands and individuals looking to create their own scents, rather than competing directly with major fragrance houses.
  3. Impact on Health: By integrating fragrance creation with health analytics, Osmo aims to develop tools that could one day allow for rapid and non-invasive disease detection.

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Notable Quotes

  • "Whatever map exists for smell is not going to fit on a flat piece of paper."
  • "The future is here, it’s just unevenly distributed."
  • "What’s on the inside gets to the outside; there’s a reason why we have noses."

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Conclusion The episode presents a fascinating exploration of digitizing scent through AI, discussing the implications for personal fragrance design and healthcare. Alex Wiltschko’s insights into the intersection of olfactory intelligence and technology highlight a promising frontier in both the fragrance industry and medical diagnostics.

Resources

  • Osmo: [osmo.ai](https://www.osmo.ai)
  • Osmo Studio: [osmostudios.ai](https://osmostudios.ai)
  • Scent Teleportation Update: [Link to Update](https://www.osmo.ai/blog/update-scent-teleportation-we-did-it)
  • The Neuron Newsletter: [theneuron.ai](https://theneuron.ai)

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Transcript

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0:00So imagine if you could smell a photo, not just see it, but actually smell it. Like someone sends you a picture of fresh coffee and your phone releases that exact aroma. Sounds like sci-fi, right? Well, a company called Osmo just figured out how to teach AI about smell.

0:25Welcome, humans, to the latest episode of the Neuron Podcast. I'm Corey Knowles, editor of The Neuron, and we're joined, as always, by the writer of The Neuron Daily AI newsletter, Grant Harvey.

0:36Alex Wiltschko:Today, we are talking about something truly wild, teaching computers to smell. Our guest is Alex Wilchko, founder and CEO of Osmo, the first company to digitize scent. They've created an AI that can predict what a molecule smells like, teleport scents across rooms, and design brand new fragrance molecules that have never even existed before. And this isn't just about making better perfumes. Alex thinks this could actually help us detect diseases earlier and even fight malaria. That's wild. Alex, welcome to the Neuron. It's a pleasure to have you. Corey, Grant, it's awesome to be here. I'm excited to chat.

1:11Awesome. Well, I guess first question that everyone's going to be wondering, what does it mean to digitize smell? So, I mean, let's talk in analogies. What does it mean to digitize sound, which is what we're all experiencing right now? There's three steps. Take the physical world, which is vibrating airwaves, and turn that into a digital signal. So that's what a microphone does. That had to get invented at one point, right? Initially, that was literally changing those pressure waves into grooves of a needle, carving into a piece of physical material. Step number two, encode and reason about and then decode that signal, right?

1:54So now we have MP3. It's a way of compressing and understanding audio. We've got audio editors. So first you got to read the physical world, then you have to map it. And then you have to write it back out again, right? So that's what a speaker does, which is it takes those originally just grooves, but now digital signals, and then it moves a surface to recreate those airwaves. The important thing about all that is those three steps are wildly different. There are actually three different, totally different steps. Those are three different technology stacks that each operate under different physical principles, but you have to have them all.

2:30And so we're looking at digitizing the sense of smell, and we have to do all those three steps. We have to read the chemical world and turn it into digital signals. We have to map it, and then we have to write it back out again. When we started doing this, I mean, I've been thinking about this problem for about 20 years, and Osmo's been going for three. And before that, I was working on this problem at Google Brain for about six years. What's a little crazy is the ability to read the chemical world already existed. And it's really good, actually. There's these things called spectrometers. It's what like CSI uses to figure out, you know, what are the different trace samples at a crime scene.

3:07And then the ability to write the chemical world back out again is also pretty good. There's these fluid handling robots that will move around ingredients and mix them kind of like an inkjet printer can mix inks. The part that was missing was the map. And that's been a super hard problem to crack. And again, let's think about vision. RGB, three numbers that are the map of color. And in fact, we roughly have three different kinds of color receptors in our eye. They roughly correspond to RGB. We have over 300 types of olfactory receptors in our nose. So the sense of smell is going to be, just based on that, 100 times higher dimensional, 100 times more complex.

3:52Whatever map exists for smell is not going to fit on a flat piece of paper. We're not going to look at an RGB diagram and be like, oh, that's why lavender smells close to this other floral but far away from rotten eggs. Not going to happen. The map exists in data, though. So that's the core insight that we've been operating around is like, well, now we have algorithms. and we have huge data sets. And we don't need to wait for our own visual cortex, our own visual systems to lead us to the map. We don't draw it on pieces of paper. We extract it from data. So that's kind of the core insight. And then we reuse a ton of amazing technology and we stitch it all together.

4:30So when did you realize that this was even possible? So I got really into this problem. Let me back up. I got really into smell when I was very young. Like me and my dad would like guess the spice when we went out to eat and try to figure out like, hey, what's the smell here? What's the aroma here? I got really into perfume and perfume collecting when I was about 12. I was already a big computer nerd and computer programmer. So adding like perfume collecting in like a very small Texas town does not like make you the most popular boy. That's fair. But you don't choose your obsessions. They choose you.

5:05and then i watched a ted talk by a guy named luca turin uh when i was in i think i was in college and the ted talk said two things one is you know we really don't actually know why things smell the way that they do and then number two is he had a solution for it i i turns out i think that it's mostly wrong the solution but oh my gosh is there value in asking the right question and this idea that like you can tell me rgb and i can i can figure out what color that is it seems trivial we can't do that for smell like we can't talk about why something smells the way that it does it's just random and then i ended up going completely down that rabbit hole and i ended up and you know i did my undergraduate neuroscience i got my phd in olfactory neuroscience and i learned that actually nobody knows the answer.

5:59Like you go to the very edge of human knowledge, at least in academic science, and there's no answer forthcoming for something that seems very basic. It drove me absolutely bananas. And that's basically been my life's work since then is trying to figure this out. Wow. Hey, everyone. Today, I'm excited to tell you about Flora. The AI canvas used by creative teams like Base Design and Pentagram, it makes it easier for designers to generate campaign visuals, treatments, and final deliverable assets in just minutes. Unlike MidJourney or Runway, Flora gives full workflow control so creative teams can ideate, iterate, and refine with precision, all in one canvas.

6:40If you're a designer or an agency looking to scale ideas with a high degree of creative control, check out florafauna.ai. That's F-L-O-R-A

6:49Alex Wiltschko:f-a-u-n-a dot a-i check them out today and tell them the neuron sent you so in 2024 you achieved scent teleportation that's right uh it was a fresh cut plum uh from what i understand and what happened that day what was that that day like how did the project go tell just just kind of walk us through it if you would one of the wildest most excellent days in my professional life was that first breakthrough. And it was really just a first step. Like it's not the top of Everest. It's like getting to base camp, but it's still so, so powerful and so vivid in my memory. So the team had been working for a while on the technology and the processes to do this.

7:34And one day they said, Hey, look, I think we're ready. And they sat me down in the morning in front of 30 amber vials and inside of these vials, blind to the entire team, been set up by somebody else, lying to the entire San Teleportation team, inside of it were fruits and vegetables and some flowers. And so they didn't know what I was going to choose. But these were real things from the grocery store. And I think what I picked was a banana and it was a tropical fruit. I think it was a papaya. And this is just by smell and then I verified it later. And then a plum. And we put each three of these through the teleportation process, which is you show that scent to a device that was specially tuned and set up to analyze the molecular content of that smell.

8:27The data was uploaded to the cloud and analyzed by the AI systems that we built. And really it's AI for scent. We call that olfactory intelligence or OI. And then it was reprinted on our smell printer, which we had custom programs to work with the fragrance ingredients that we see in the real world. and the first smell that came off was plum and it was absolutely engrossing and transporting that i was smelling this a blotter dipped into a vial of clear liquid and i was having the visceral sensory experience of biting into a fresh summer plum like the kind with the snap when you bite into it it's still firm it's a bit tannic but like my whole kind of consciousness was filled with the experience of having just bought into a snappy, just having bought into.

9:18Bought into. My sensory experience. Bought into. Yeah. My sensory experience was filled with the experience of biting into a fresh summer plum that still had a snap to it. And I was like, wow. Oh my gosh, it works. Like no human was involved in actually looking at the data. It was all instrumentation and robotics and software. And we actually transported a plum from one room to the other. It was incredible. That's so cool.

9:49Alex Wiltschko:That reminds me of reading stories about Alexander Graham Bell and people in the early days of figuring out the audio and how you send messages to each other. It reminds me of that sort of level. I have to ask as well, just this is a slight side tangent, because the way that you're describing this is really, really visceral, really draws me in. Have you ever seen the show Drops of God on Apple TV? So I read the manga because I'm a big nerd. Okay. Fellow manga nerd. Yeah. And I watched the first couple episodes, but that like the intensity with which they portray the sensory labeling is like so extra and I love it.

10:30Yeah.

10:30Alex Wiltschko:For people who don't know, it's a great show about essentially a famous wine. What do you call it? A sommelier is the person who can smell and describe and knows about the world of wine. Yeah, who gives away, like basically dies and wills his fortune to his protege and his daughter. And they have to compete in a test to see who is worthy of his$150 million wine collection. And they just capture smell like so excellent. They almost have like a spiritual experience when they smell it. And she, in the show, did what you were talking about with the spice testing, where, you know, as a young girl, she was supposed to taste stuff and try and smell it.

11:11Alex Wiltschko:Her way, I guess, it was tasting as opposed to smelling. Yeah, and 90 % of flavor is smell. So there's just a few things on your tongue, and they're important. But the experience of wine, much of that is going to be through your nose. So, like, if you have a cold or if you plug your nose, like, it's just going to be sour or bitter or tannic. You're not going to get— The reason things don't taste right when you're sick. Exactly, exactly. Because, you know, what happens is you drink something or you eat something, you chew it, it creates a chimney of basically steam and aerosol that actually goes back up your nose.

11:46It's called retronasal olfaction. So, you're smelling as you're eating. Wow.

11:51Alex Wiltschko:I didn't know that. So, like, you mentioned the read-map-write framework, right, where you're reading it, you're then mapping it. and then you're writing it back. Could you just explain, like, in terms of, like, your system specifically, like, what is actually happening? Because you said there are, like, three different, like, systems that work together, I guess. Yeah, so reading is about using existing chemical sensors to turn molecules into digital signals. And that's a really old tradition. I'm more than 120 years old. Basically taking a piece of chemistry and turning it into electrons or photons.

12:26And there's a bunch of different ways of doing it. Many of them fall under the label of spectrometry, which just means measuring, you know, measuring physical things. And the kind of spectrometry that astronomers do looking at the stars, you know, the fundamental principles are kind of the same of what we do when we really, you know, dial in on ascent. We use different physical principles, but the idea is we're trying to figure out what's the matter in the cone of perception that we're pointed at. And so we use spectrometers in order to turn chemistry into digital signals. Normally, before OSMO, very, very well-trained, specialized people would look at that data.

13:12And that's still mostly the way that that data is interpreted is by people. and what we've developed is a suite of AI tools to either augment in some cases or automate the analysis of the data that comes off of those devices and that's that creates a firehose of data for us so we know what different physical things smell like we know what different market products smell like and that's our core business is we actually design fragrances for brands that's the way in which we're building the business to continue funding the curiosity to move to the next step of Shazam for smell and then to move to the next step of sniffing cancer.

13:53Shazam for smell. I love that. We sell perfumes to get the Shazam for smell and then we build both of those businesses to ultimately detect disease which is that's the holy grail.

14:02Alex Wiltschko:That's our North Star. That's amazing. How close are we to then like sending scents or detecting scents on like our phones like we send photos. Yeah, I mean, I can see a path to detecting scent already today. We do that for some customers. So there's an article about this online, but we've sniffed fake Air Jordans at StockX. So fake shoes smell different than real shoes. And that has to do with how they're constructed. So we already have a team and we already have a technology that can smell as well as our nose can. That's not our main business today. So we want to continue to develop the technology to take it from the size that it is, which is, I mean, it's not small, but it's not big.

14:48You can hold it and move it around. We want to make that something that is moving towards being pocketable and more affordable. It's not quite yet affordable, but it already solves the real world problems today, but we're going to continue to develop it. Getting it to something the size of your cell phone may require scientific breakthroughs that we can't even describe today. So I want to be real, like that's why we're taking the strategy that we are. Like I've looked at all the Enos companies. I've looked at all the olfaction companies that I've been able to find at least. And every single one of them that kind of aimed for that Star Trek tricorder vision, but didn't chart a path through kind of a reasonable business, all of them that went right for the mountaintop, they're all dead.

15:37And it's not because they weren't working hard enough. It's because it's so freaking hard, right? Like to solve that problem may require hundreds of millions or likely billions of dollars to build a device that can do what we really want it to do, which ultimately is what a dog's nose can do, which is detect disease and detect, you know, produce at borders or drugs at borders. Like to keep people safe and to keep people healthy, we want a device that you can hold in your hand in your pocket that smells as well as a dog's nose does and like i actually don't think anybody knows how to build that in short order um the world can change in an instant so who knows but to really do that well what the tack that we've taken is like you have to look at that with complete humility and understand that like man before that thing gets small it's going to be big as with all technology and before things are even in your home they're going to live in a like a warehouse or a special room which is like think about computers like mainframe computers in the 1960s filled up the whole room and had specialized staff on it huge then they got smaller by the time bill gates came around like you still there are no personal computers right he had to break into a company or a university to use a computer um and then they became personal right so like we're in the realm now where the ability to create smell and to read smell exists but it has to be enclosed in a laboratory and in a factory, which is why we have both of those things.

17:07Because we can't fit a mass spectrometer into our phone yet? We cannot fit a mass spectrometer into our phone yet. But we're going to get there. People are ingenious. It might either come from one of the folks at our company, from an Osmonaut, or it might come from outside of our company in an academic institution or another company. Somebody's going to figure this out. And we'll be there to help make sure it happens faster. But like, man, we're going to get there. 100 % we will. So you launched Osmo into the fragrance industry. What's the response been like? It's been overwhelming. And so we have more work than we know what to do with at this point, meaning we're using OI to design beautiful fragrances and we're working our absolute best to keep up with the demand.

17:54In fact, we're opening up a new factory in order to keep up with the demand. We learned a few things. Um, we, we've worked with a number of different customer sets and what we've learned is there's a lot of people out there who love smell and a lot of people out there who want to create beautiful scents and add it to their, their company, their brand. And not just like perfume brands, like you'd be surprised. Like there's a lot of individuals out there that have a following online and want to launch their own fragrance. Right. And they don't want to promote somebody else's. They want to design their own.

18:25They want to do it themselves. Exactly. That makes perfect sense. And so, you know, it used to be really hard to even make your own visuals or edit your own video. Everybody can do it now. And so what we're finding is that lots of people want to make their own scent and we can actually help them do that. So what we designed was this software experience called Osmo Studio. And it basically lets you design the scent. So you talk to it. You type into it just like a prompt in ChatGPT. you can select certain things like hey i really want this fragrance note or you know i want this to be unisex or i want to wear this at night it turns out there's some you know subtlety to how you construct the fragrance to make all those things make sense and then you hit build my scent and you hit buy and we send you a sample and actually three samples in a box of completely oi generated scent that matches the emotional experience that you're trying to create and we've gotten amazing feedback from it.

19:23Like we've, we, we kept it in a very small closed beta and we're going to be opening it up more and more over time, but you know, people are smelling it and they're saying, oh my gosh, this is exactly what I wanted. Some people are saying, uh, more and more over time are saying, I actually want to turn this into a brand, like let's launch it. And that's kind of where our demand is coming from. Uh, so this is really, really new and really, really special. So the normal way you design a scent at the industry could take you a year and a half or two years to get your scent finalized and launched. And what we're finding, even with the state that we're in today, is that we can give people their first scent in one week.

20:00And we hope to get that to two days and not too long. And then people can launch their whole brand in three or four months. And we have a wait list now. And so that's what we're able to do kind of with the current customer set. But we hope to take that down much, much less. So it's kind of turning the industry on its head where like it's there's not there's not a scent designer or perfumer hidden away somewhere it's you like you're creating the scent which is which is super beautiful and fun so you don't have to buy some celebrity's set anymore yeah you could be the celebrity you know like you could design a scent and launch it online and like totally capture the zeitgeist and then it could be the cory and grant you know neuron scent that really really captures the moment that's super beautiful and addictive.

20:48I think that's what we need, Grant.

20:50Alex Wiltschko:Yeah, we need to launch a scent, Corey. It smells like an orange cat. An orange cat. That's a pretty good name for a fragrance to start. Canvas your audience. Would you buy Ode to Orange Cat? And we can make that a reality. Actually, we should totally do this, Corey. That's awesome. I agree. We will take you up on that, Alex. Just mail on science. You know, that's possible. I have a funny question. So you mentioned like you can do this via chat now. So, you know, chats are going multimodal. Could you upload like a song or an image and say like, give me the vibe of this? Like how long would you could do that?

21:27We actually launched, we launched a product at the Museum of Pop Culture in Seattle. And if you go there, you go to the gift store and actually soon we hope bigger retailers, you can buy the scent of that museum experience. The only thing they gave us to create that scent was a picture of a 30 foot tall sculpture of like a swirling tornado of electric guitars. Oh, wow. So the input was this image of like a ton of like, you know, instruments, rock guitars. And the thing that came out of the scent that came out of that process smells like the metallic strings of the guitar. it's sweet and it's fresh and it's like you know lively and they put in we i mean they ultimately launched the product but we put it in a bottle for them we put it in a package for them and it's in the gift store right that's so cool wow what's another place that has like a really

22:31Alex Wiltschko:distinct smell that people oh i've seen this so there's a candle online that it recreates the smell of going on the et ride at universal studios okay have you seen this before no this is new to me who sells it like there uh i don't know who sells it but i've seen this uh perhaps on etsy or somewhere and uh people really like this because allegedly this place had a very distinct smell i think because of the smoke uh machines that they would use and okay that's so funny yeah and so that's like you got to find these places where they have a really distinct smell that people like and try and recreate that because that's an awesome.

23:08Yeah. I mean, it smells so powerful. It's super powerful, right? So that's, I mean, that's what we want to honor and tap into is like people want to create, people want to explore. And I think if we create the ability for people to express themselves, you know, even if it's some crazy new modality like scent, I think the empowerment that comes from that is really

23:32Alex Wiltschko:beautiful. actually i'd love to get your take on this because i have heard this before but i don't know the science behind it so i'm interested um i have heard that your uh however the the sensors in your nose your natural sensors work uh it because they die very quickly they have to encode uh information really fast i don't know if that's actually how it works you can tell me but um that that means that like when you have uh you can have a very strong smell memory uh to remember things and it's really powerful like to the point where it can take you back to a moment in time if you smell like a certain type of smell and so that makes me wonder if it's possible to you know have a picture and then that can maybe even like like from your past take you back to that moment camping trip with your grandparents as a kid or i mean yeah could you explain just how that yeah so there's there's three pieces to that like one is what happens to the olfactory receptors like how do they work um and then why is smell so emotional and can you can you tap into that and basically transport somebody back to a moment so the first is olfactory receptors do we call a turnover meaning the olfactory sensory neurons that are like the the cells at the top inside at the top of your nose that actually do the sensing they they don't live forever um very because they're and direct it's your brain directly touching the world right so like your brain leaves your skull that is what smell is so when you smell a rose your brain is literally touching the rose so those cells get subject to a lot of environmental you know change and so they they do die and the brain replenishes them and so this is why if you lose your sense of smell you're waiting like two weeks for it to start to come back that's the transit time for neurons to come to you know and regenerate the ones that are lost.

25:24It's happening continuously though. Then number two is like, why is it so emotional? And why is it also so tied to memory? And that's because it's directly jacked into your centers of emotion and your centers of memory. So every other sense before they can create memories or can create emotions have to go through a bunch of steps. And one of the way stations in the brain is called the thalamus. Smell is so old evolutionarily, it skips that. So it goes directly to the signal once it's kind of collected outside of the nose, inside of the skull in a place called the olfactory bulb. It goes right to the amygdala, which is the seat of emotion.

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26:03And it also forks and goes at the same time right to the hippocampus, which is the seat of memory formation. So smell is privileged anatomically in terms of how it's wired in your brain. And that is why it can create these immediate emotions, these immediate memories, and why you smell something once, you know, associate it with a memory 20 years later, it's instant recall, unavoidable. You can't even fight it. And that's because of how it's wired in your brain. And then can we tap into that? And the answer I think is going to be, yeah. And I think about how photographs changed our relationship with memory.

26:45In 1820, 1825, just to be, you know, have a nice round 200 years ago. If you saw a beautiful sunset with your son or your daughter, the impression of that sunset and what your child looked like at that age. everybody just didn't think anything of it being permanent it was ephemeral so when your child got older their face as a child is gone unless you could afford to pay for a painter which is super rare in that very moment that sunset is also gone forever and then fast forward until the late 1800s all of a sudden there's this thing called the camera and you can actually hold on to light like just what the world we can just hold on to that that's crazy and then the phonograph also came around and then ultimately you know recorders that people could hold you know many decades later all of a sudden the sound of your grandma or of your child like you can just hold on to that forever that's crazy and i i think that what we're building at osmo although we're very focused on creating fragrances and building a business so we can reinvest in curiosity but where we're going is being able to engage with a kind of memory that we think we just assume will be gone forever.

28:08We just assume it's gone forever. And it doesn't have to be, right? So, you know, our kind of super secret plan is, you know, build fragrances for the world's brands. Because what's crazy is the molecules that are in fruits and flowers and vegetables that go into beautiful scents that are sold on shelves, those are the same molecules that you find in the smell of your loved ones and that you find in the smell of human disease now the ratios are totally different right so the signal the fingerprint that you get from each of those is wildly different but nature reuses these molecules and so if you get really good at building market ready products you're actually secretly teaching yourself how to understand and decipher and detect the smell of disease.

28:58And also the infrastructure you need to go and build those things actually means you have to build a lot of scents and analyze a lot of scents, which looks like a fragrance factory, right? So we're very fortunate that we've been able to find this path where like the business and the strategy are like right on top of each other. And in fact, like when people buy a fragrance from us, they may or may not know it, but they're funding the ability to detect disease early with smell. They're directly funding the future, right? So this is like, to me, an incredible privilege that we can kind of work towards this North Star and have it all make sense.

29:35Alex Wiltschko:And you've actually launched three AI design molecules, is that right? That's right. Yeah. So part of our business is not just making blended sense, but we actually build totally new molecules. What does that even smell like? Welcome to come into our lab in New York and smell them. I mean, it's like, you know, if you look at a painting, it's made of a whole bunch of colors. And those colors can be used very judiciously to create all kinds of feelings. So looking at like a new color is kind of weird. It's like, have I seen that? Have I not seen that? You know, the answer is like, no, you haven't seen it in these cases.

30:06Like they're actually totally new smells. The one that I like the most, glossine. So it has a nice like kind of purple fruit floral smell. It's very kind of just pleasant. What was amazing about it is you put that in a fragrance and it lasts an hour longer, like instantly. Wow. So we've got all these kind of interesting side benefits with some of the molecules that we've created. And the customers for these are just, they're the really big companies that can make use of proprietary molecules. So you have to be a very, very big company to be able to make use of this kind of a product. So, you know, you probably won't buy a bottle of this stuff anytime soon.

30:44It's a component that goes into really large global products. Yeah. That is interesting. So are major brands using these yet? Are we at a point where you've gotten some interest? Yeah. So you can go to stores. I can't tell you exactly which ones and which brands because we want to be in the background. But you can go to major stores you probably buy stuff in. And you can buy products with fragrance that was made by Olfactory Intelligence. So it's not theoretical. It's working. The scents are beautiful. They're safe. They do the job. They're affordable for the customers that buy them and ultimately build a product for their consumers.

31:31So this isn't, you know, if we talked a year ago, I'd be like, we probably can do this. And now it's like, no, we definitely can do it. And we've got to do a whole lot more of it because it's working and it's really beautiful. That's amazing. Well, you know, the fragrance industry is dominated by what, four massive companies mostly? Have you gotten their attention yet? Are they curious about this? I don't know. You should have one on your podcast. We should. I think the short answer is, yeah. I mean, it's not. So fragrance is super important. It's the one reason why people keep coming back to buy most products.

32:11Usually not the first reason people buy it, but it's almost always the reason people come back. So it's a very, very powerful part of our economy, but it's very secretive and actually quite small. And so, you know, when we started out, I would say the vibe generally was like, isn't that cute? And I think things are changing. look what we focus on mostly is a part of the market that the fragrance industry has historically ignored and those are folks that are starting out right folks that want to create fragrance but actually don't have a way to do it right so like yeah orion grant want to create a fragrance how do you even start if you google for it you might actually just find us as the solution um right so that that's there's just there's there's an unserved customer that wants to get started but doesn't know how.

33:05And by kind of combining all of the data, the algorithms, the operations, and the artistry, like perfumers have helped us create this product in a very material way, anybody can get started now. And so we're not really competing against anybody. And I think even the major fragrance houses know that. And they say, we're actually not able to serve these smaller customers because of how we've been historically set up. We've been doing things this way for about 300 years and more and more and more over time specialized on serving bigger and bigger and bigger customers. It makes complete business sense.

33:39Meanwhile, indie brands are the fastest growing segment ever, right? So like more personalization, people's circle of trust is kind of getting smaller. I mean, even for buying products, right? And these are the folks that need some help. And so that's what we focus on.

33:57Alex Wiltschko:What is the form factor that people would use? Is this like they're going to launch perfumes, candles? Is there other options? Yeah, right now we focus on ethanol-based spray fragrance. And the simple way to remember is perfume. So there's subtypes of perfume, like a body mist or a room spray or a hairspray. They're all basically different form factors of perfume and different dilutions. Delivery mechanisms for the scent. Yeah, exactly. So the bottles will look different, but they're like under the hood. It's the same. So that's what we really focus on right now. And there's plenty of business for us doing just that.

34:34But there's lots of other form factors that people would want. We call them applications. So, you know, people might want to launch a candle or a reed diffuser or, you know, we could name another 10 of them. Scratch and sniff book. Yeah, scratch and sniff book. Playing cards, photographs with your custom. So there's plenty of stuff that we're going to do, but we're keeping it really simple. So we design beautiful fragrances that are kind of in the perfume form factor. And we want to build up trust and build up experience and momentum in that. And then we'll widen it over time. Well, I'd like to talk a little bit about, you know, your end goal here.

35:16You know, I know, and we've talked about this a little bit already, that dogs can smell certain types of cancers and Parkinson's. How far out are we from a time when a computer can do that? Boy, so I think the way I think about it is how far out are we for the average person being able to do that? So as with most technologies, the future is here. It's just unevenly distributed. And the future is here and it is unevenly distributed. So if you wanted to go out and smell a disease in one way, shape or form, and you had a laboratory like we do, you could do it. The issue is you couldn't give it to everybody.

36:03Yeah. And today, you wouldn't necessarily know what about that smell is making me believe or making my system, my algorithm believe that this disease is present or is not present. So we're missing some things. The first thing that we're missing that's most important is a lot of data. them so again i think it's good to go back to an analogy and think about a time when doctors didn't know that looking at the molecules inside of blood was valuable because that was true a hundred years ago maybe even to the 40s i've got a bunch of blood whatever right like i don't know if there's anything interesting in it and blood is blood yeah whatever not that long ago before that they were bleeding.

36:52Exactly. It's like, oh, you've got too much blood. Get rid of it. You've got too much blood. That's what's wrong. So there was a study that was run, a very profound study called the Framingham Heart Study. And it's named after the town of Framingham, Massachusetts. And what they did is they looked at heart disease of basically everybody in the town. They just tracked and measured the things that they knew at the time or were indicative of heart disease. And then they did a smart thing, which is they just collected as much data as they could, even if they didn't know what to do with it at the time.

37:23One of those things was they took blood samples and they froze them. And when they went back much later and they looked at that blood and they knew who had heart disease, who didn't have heart disease, they found a few things over time. They found that this thing called cholesterol wasn't actually that great for your heart. In fact, a subtype of cholesterol was the worst. And they found that there is this molecule, you know this class of molecules called statins that actually were really good for preventing heart disease and they found a whole host of other things it's called bioprospecting people still do it today so the the kind of the big version of this that's happening in the uk is called the uk biobank in the u.s it's called all of us and the idea is is pretty simple i mean the scientists like me like to gussie it up with different words but it's like let's go fishing let's collect everything that we can possibly collect and then maybe we can sort out something that's valuable after we do that for a long while scent could become the new breath but we need to do some bioprospecting we need a framingham study equivalent for scent that hasn't been done and it's reasonable because the cost of analyzing a scent sample or even in some ways how to even do it in the first place, the cost is high and how to do it's not that well established.

38:45We've largely fixed the cost problem by building this company and kind of solving the problems we've had to solve. And I think over time we'll solve the sampling problem. And what's missing, frankly, is a nation state, that's the level, or an extremely wealthy individual or group of individuals to say, we want to do better than blood. we don't want to have to stick a needle in young people or in old people. And we also want our answers almost instantly. And so we have to use not the molecules circulating in the liquids inside of us, but the molecules that are always escaping through our skin. We want to tap into that.

39:23We know that air is data. And we just call that smell. That's the tag that we use for the data that's in the air that we detect. Why don't we go start to collect a database of that? So that's the real missing piece. Now, once you know what you're looking for and you start to correlate the data that we constantly exhaust with disease or with health states, you have to build a device which anybody can have and hold that can tap into that. And you actually probably use different technologies for collecting the gold truth data versus the stuff that's pervasively available. So we're probably at the state now where we can do a Framingham study for SENT.

40:04we're not at the state technologically where anybody can have a device the size of a coffee cup or a cell phone that can actually detect that you'd still have to go into the laboratory we have devices that are pretty good but we don't know and they're about the size of two shoe boxes but we don't know because we don't haven't done the data set collection we don't know if they're good enough for disease detection so there's still more work yeah right yeah do you think

40:29Alex Wiltschko:there's any limit to what you could learn about like the let's say like just the human body for example with with smell like boy i mean here's what here's what i've learned about smell over working on it and working on it and thinking about it for a while which is what's on the inside gets to the outside and there's a reason why a big chunk of the middle of our face is dedicated to analyzing it, right? Like we have noses that don't seem to be getting smaller over evolutionary time. They're not like appendices. We need them, right? There are private spectrometers. And there's a reason why some things smell tasty, right?

41:09So the things that smell delicious, we're detecting the molecules from the, you know, roasting meat or ripe fruit. The molecules that smell delicious are directly derived from the nutrition inside of that thing. So it's a causally downstream signal of why eat that fruit, right? So it's the same with human disease, right? There's processes happening on the inside and those molecular processes, biological, metabolic, enzymatic processes, they're private inside of our skin because those molecules can't fly into the air. Proteins are too big to be smelled and to fly through the air. But those processes produce exhaust, right?

41:57They off-gas, and they produce molecules that are small enough to get into the air. And they produce lots of molecules in specific ratios. And that is what smell is. so to answer your question what's the ceiling um we don't know until we look but right now i can't

42:18Alex Wiltschko:see the ceiling wow interesting so let's talk about um the other senses that we have um and how we could potentially uh digitize those right so we have obviously we've digitized sites we've digitized sound. Now we're working on smell. What does that leave? Taste and touch? How would we do that? So touch is interesting. So some of my mentors, advisors, colleagues worked at a company called Control Labs, and they digitized grasping. So they digitized muscular activity. So they converted the intention to move the hand into a digital signal. If you saw recently, Meta launched this armband that kind of digitizes your that's them right so they were bought by meta so it's becoming a product right um and i'm sure there'll be gloves and skin suits or whatever in the future that actually can play touch back to us who knows right um i'm sure some very very bright motivated people are going to figure it out because it's like on the road to fully immersive virtual reality and then taste um man if you can get smell right you're you're going a long way to flavor so not what's happening on the tongue, but just the flavor experience.

43:36But beyond how to do that on the tongue, I don't know. In terms of frontiers though, what I'm just fascinated with is, can we digitize in a way where we can think about it quantitatively? Can we digitize a story because what I've noticed in doing science and in building companies is that the thing that really binds people together is a story. So I can't show people the future that we're building. It's not physically real, but I can tell a story of what I think is possible And I can explain why I think now is the time to do it. The only reality of that is a story. And I think it's incredible that people can choose to believe or disbelieve completely immaterial things, but yet can organize huge numbers of people to do the extraordinary.

44:43And what's very strange to me is we're in this era of LLMs, and I think the magnitude of what we're talking about now is masked by the ability to have a machine create coherent sentences and paragraphs of English language and of other languages. I have yet to read a story written by one of these machines. It will happen, I think, right? I mean, there's no reason to believe it's not possible. But there's something different between language and a story. There's a quantum leap between grammatical correctness and something that causes you to dedicate your life to a mission. And so, like, somewhere along the line, I received the story of digitizing our sense of smell.

45:29I didn't invent it, right? Like, people have been thinking about this forever, but it completely got me. I got completely one-shotted by this story. And now, like, I live it and breathe it. And I'm happy to. Right. I think that's astounding. Like nobody ever showed me digital smell, but yet I'm working in a tradition that goes back a century or more. And I never met the people that came up with the thing and the story in the first place. Like how absolutely extraordinary is it to have a society bound together by such a thing? It's nothing to do with what we've been talking about, but I'm just astounded by the power of stories sometimes.

46:03Well, you know, something that I do that reminds me of this, the idea of smelling a story, the idea of all of this, I enjoy taking song lyrics and feeding them to image models as poems. And seeing what they come up with? And seeing just what comes out. I'll do it with poetry. I'll take some classic poetry and drop it in and see what it creates. No other instruction, just here are lyrics. Go. and I really enjoy playing with that and looking to see just kind of how it translates this into that and it makes me think a lot about what you're what you're saying here and I feel like there is an area of that current artificial intelligence is is lacking in that it needs these other senses it needs experiential data of some type you know like and I've used this example before on here, so it's probably familiar to people, but the idea that how can we teach an AI to understand what a spring morning feels like?

47:08It's got to be in the data set. That's the short answer.

47:11Alex Wiltschko:The actual experience of a spring morning is not in the data set, right? Yeah. Well, do you think that embodied intelligence is key to AGI? And I guess, well, taking that one step further, do you think smell is key to AGI? We have five minutes. I don't know if we're going to be able to get into that. Yeah, try to tackle that in five minutes. Here's what I think. All technology here to date, and I don't think that what we're seeing right now is any different, progresses on an S-shaped curve where it doesn't get better faster really at all. And then all of a sudden there's something that changes and it gets better really vast.

47:46and then it saturates and it's basically plateaus um everything is like that up until now so internal combustion engines generating light via a candle generating light via natural gas generating light via electricity now those s curves stack right so candles there's actually technological breakthroughs in candles while natural gas was coming online and candles were straight up better for like a decade because people were like improving candle geometry like You don't think about candles as tech, but it was straight up tech back in the 1800s. But those S-curves stack, right? And that creates an, when you stack them really well, it creates an exponential in some capability, like the amount of light you can produce for a dollar, right?

48:28But it requires a bunch of different breakthroughs that each have their own S-curves. Text generation has its own S-curve using transformer-based models. So we call those LLM's. I think we're getting close to the elbow and plateauing off because the limiting factor is the internet, right? Like you're out of data, you're out of the internet. It's gone. We've digested it all. And I don't think that we've seen the amount of crazy progress in the past year that we saw, say, you know, year five ago to year four ago. Like that was wild progress. And now things are getting better and we're adding new features, but we're adding features to products.

49:08We're not growing some capability nearly as fast as we were before. This is my hot take, which is language models are great and all, but when we talk about progress in AI in general, we're actually talking about dozens of different technologies. And so what I'm seeing is a bit of a smoke and mirrors or masking game, which is like, oh, the progress is the same rate. No, no, no, no. Now, progress on video generation is a different S-curve. Progress on image generation is a different S-curve. Now, you can build products to integrate all this stuff. Oh, my gosh, can you create so much value in society by combining these things to products?

49:47It's not the same as technological progress, right? So if what you want is to figure out when your AI god will wake up, I don't agree with that. I don't think that is a thing. I think what we have is a new form of steam turbine engine, but for mental work. and that thing has its own S-curve. It's a piece of technology. Now, let's go put it to work and do some awesome stuff, right?

50:11Alex Wiltschko:And so what... And do you think smell will be one of those S-curves that you have to add to it? And we're at the very bottom of this and we're starting to take off, but that's what we're committed to is like we want to contribute to society and the long arc of human progress by moving on one of those S-curves. And it's, by the way, the oldest sense that evolution has invented. It's very emotionally powerful. And nobody else is really working on it in the way that we are. Not to diminish the amazing science that's come before and is operating currently, but the way we're going after this is in the modern AI company way, which is let's go get a ton of data.

50:54Let's build a great business model behind it that It creates a flywheel. And let's actually call our shot. Let's have a goal that's worthy of reaching it and then make sure that all the steps along the way make sense and then react to what we learn along the way. But we are dedicated to moving up that S-curve of olfactory intelligence. That's what we're here for. Awesome.

51:17Alex Wiltschko:That's awesome. Well, Alex, how can listeners experience this right now? What's the best place to go to learn more? So they can follow Osmo on Twitter or LinkedIn, and we're going to have some great announcements soon. But we've got a private beta program, so if you Google around for how to create scent with Osmo Studio, I think you'll be able to find that. And then stay tuned for not too long in the future when we have an amazing tool that anybody can use to create their own sense using olfactory intelligence. That is awesome. Very cool. Well, thanks so much for joining us today, Alex. Please go check out Osmo.

51:51You're going to be fascinated with what they have. I'd like to thank everyone for watching and listening today. We just explored something that sounds like pure science fiction, honestly, in some ways. And the idea that we're teaching computers to smell. But it's real. It's happening now. And Alex here is doing it. We hope you enjoyed today's show. If you don't already, please like, subscribe, so we can continue to bring fascinating conversations like this one to you. Join more than a half million others today who read the Neuron AI newsletter every morning. And on that note, till next time, farewell humans.

From the publisher

Computers can see and hear, but they've never been able to smell—until now. In this episode, we sit down with Alex Wiltschko, Founder & CEO of Osmo, to explore how his company is using AI to digitize scent. Alex walks us through how they "teleported" the smell of a fresh plum across their lab, created the world's first AI-designed fragrance molecules, and built Osmo Studio—a platform that lets anyone design custom fragrances in one week instead of two years. We discuss the read/map/write framework for digitizing smell, why scent is tied directly to memory and emotion, and how this technology could eventually detect diseases like cancer and Parkinson's earlier than any current diagnostic. Plus: what does the Museum of Pop Culture smell like, and can AI really create a fragrance from a Bon Iver song?

Links:

Osmo: https://www.osmo.ai

Scent Teleportation Update: https://www.osmo.ai/blog/update-scent-teleportation-we-did-it

Osmo Studio: https://osmostudios.ai/

Subscribe to The Neuron newsletter: https://theneuron.ai

Check out the sponsor of this video, Flora: https://dub.florafauna.ai/neuronSubscribe to The Neuron newsletter: https://theneuron.aiHosted by: Corey Noles and Grant HarveyGuest: Alex Wiltschko (Founder & CEO, Osmo)Published by: Manique SantosEdited by: Kush Felisilda

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