MyAnIML is the world’s first predictive AI platform for biological systems.
MyAnIML represents a pioneering solution in early health prediction for the cattle industry, harnessing the distinctive features of each animal's muzzle for predictive analysis. By leveraging AI technology to scrutinize images of cattle faces and muzzles, MyAnIML provides actionable insights to ranchers 2-3 days prior to the onset of illness, facilitating proactive measures to isolate and treat potentially sick animals swiftly.
This proactive approach not only reduces treatment costs by targeting specific animals or a small subset rather than entire herds but also minimizes antibiotic usage, decreases mortality rates, and preserves operational continuity, thereby enhancing revenue streams for ranchers.
Given the narrow profit margins in the industry and the recurrent nature of cattle illnesses, prompt detection is paramount to preserving profitability. Untimely disease identification leads to significant financial losses due to escalating treatment expenses, excessive antibiotic usage, and elevated mortality rates.
Furthermore, the environmental impact cannot be overlooked, as sick cattle emit higher levels of methane, a potent greenhouse gas. Swift intervention just before symptoms manifest not only curtails methane emissions but also contributes to overall reductions in greenhouse gas emissions, aligning with sustainability objectives.
https://youtu.be/JS1foclsMes?si=aOKnMehPj9_Eb9TA
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We’re building the first AI foundation model for animal health. Built from scratch, on our own data and models, deployed today, and already validated in the field. World’s largest animal health image dataset growing daily. Our biggest competitive advantage is our proprietary dataset, 700GB of real-world animal health data, collected and annotated from the field in just little over three years. This isn’t something you can scrape or buy. Every new ranch, every new animal, grows our moat and our accuracy. We developed our own algorithm, our own data, train models, trialed in the field, and retrain model before launching in the market. We’re not another wrapper. We are building foundational AI for animals.
Our immediate goal is to achieve a mid-90s level of accuracy in distinguishing between healthy and sick cattle. To demonstrate the feasibility of our approach, we outfitted feeder trucks with GoPros. As these trucks moved, we captured clear and detailed videos of cattle lining up. Our system then processes these videos by isolating individual faces and ear tags, which are subsequently analyzed using our proprietary algorithms to deliver early notifications 2-3 days before symptoms manifest
Since the disease predictions using muzzle didn’t come from any industry research, I had three goals before starting my next raise.