PawsYeah

As the founder of PawsYeah, I trained GenAI modes through veterinary data to deliver personalized health recommendations for pet owners. The MVP solution cut vet visit prep time by 27% in San Francisco.
Website
Co-Founder & CEO
1 Year
San Francisco

Product Vision & Strategy: Launched PawYeah MVP, a GenAI platform delivering personalized health recommendations, reducing vet prep time by 27% in San Francisco.

Technology & Design: GenAI models to achieve a 94% recommendation accuracy. The model was trained by answering Reddit questions and posting responses, leveraging the platform’s natural upvote/downvote system as the foundation for asynchronous training and optimization.

User Engagement & Growth: Reducing vet prep time by 27% in San Francisco by working with vets to ask patients to use the MVP vs manually asking questions.

Leveraging Pet Healthcare to Advance GenAI Models

Positioned in the $15.71B pet insurance market, PawYeah refines GenAI models in a low-risk setting, unlocking insights that drive innovation in both veterinary and human healthcare.

Market Opportunity: The U.S. pet insurance market, projected to grow from $4.99 billion in 2024 to $15.71 billion by 2030 at a 20.98% CAGR, provides fertile ground for scalable pet wellness solutions. PawYeah leverages this growth to meet consumer demands while laying the groundwork for applications in human healthcare.

GenAI Application in Veterinary Medicine: Training GenAI models on veterinary data offers a low-risk environment to refine AI for diagnostics and personalized care. Insights gained here can translate into human healthcare, enhancing tools like image analysis and early disease detection.

Strategic Advantage: By addressing an immediate market need in pet healthcare, PawYeah drives innovation in GenAI applications, creating a bridge to revolutionizing human healthcare diagnostics and treatments.

Greatest Learning

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