The Spoon’s Post

Transcript

Victor Panoff I founded the company called Adam, and we organized and structured food and nutrition data. We offer it to businesses. We solve all kinds of solutions, personalized meal planning, meal recommendations, nutrition analysis, food trend analytics. We build probably the watches database food nutrition data in the world about 5 million recipes 1,000,000 foods nutritionally analyze and tag for every nutrient, every allergen, lifestyle that chronic conditions, meal type, dish type, cuisine, glycemic index, so on and so forth. So. And we serve companies in the food health and Wellness business. So we have B2B company. The news from today is that we just launched a data set of 80,000 recipes that represent the most commonly eaten meals in the world. And we've always had this already had this data set. But what we've done now is use generative AI to actually create real recipes with it with images and cooking instructions. We found a lot of our customers wanting recipes, but they are stingy, they don't want to pay for professional developed resources. So we. Use the AI, you know, two years ago we couldn't have predicted that we do that, but that our database expanding this way, we generative AI and also getting a lot more data on particular meals. Like we working with the University of South Carolina around dietary inflammatory index because inflammation is one of the biggest things that causes chronic illnesses and aging and we think we can address with food. So that's another data point we're building. So we're constantly expanding. I mean, ultimately data is king. You know, all those large language models feed on data and kind of running out of data and they're honestly, they're trying to boil the ocean. They're trying to do something that works for every possible use case. I mean, artificial general intelligence, you know, Mark Zuckerberg and I want to mask and all the of the yoker are going to Duke it out on that front. But what we on our little niche are doing, we're trying to leverage the data set that we built over the years, which is this large, deep, very accurate data set. And train it to fine tune a large language model or or build a small language model specifically for the use case of meal planning, meal recommendations, personalized nutrition, et cetera, et cetera. But it all comes back to the data. If you have good data, you have good user experiences, garbage in, garbage out, good stuffing, good stuff out. Putting aside generative AI, I'm putting aside GOP one, which is it's got an obvious impact on on food health and Wellness in a lot of ways what I'm really most. Excited about is the actual movement around food as medicine. And first of all, there's a whole cottage industry of companies that didn't exist two years ago. Rather in the food is medicine space, medically towered meals, medical toward groceries. Insurance companies are getting on the game, and it's starting to trigger a whole host of social implications, especially around the poor and the elderly, because Medicare, Medicaid covers it now. But eventually insurance companies are common come around. And what I'm excited about is the possibility of people really preventing disease. Curing disease with food, which was always been kind of at the bottom of what we do, why we exist as a company. And you know, seeing that trend happening to me, giving me a lot of hope it kind of the midterm to long term. You know, we we all know about the obesity epidemic, the diabetic epidemic, the chronic conditions and whatnot. I mean, people can really cure themselves and layer on top of that GOP one and layer on top of that generative AI it I can see that in 10 to 15 years. You know, we have a a lot healthier population, so that's exciting.