The Future of Cat Nutrition
is Written in Color.
Catolor's AI analyzes visual biomarkers in cats to detect nutritional gaps before symptoms appear — and recommends the exact food formula they need.
Cats Can't Tell You They're Sick.
Their Color Can.
1 in 3 cats suffers from an undetected nutritional deficiency
Most deficiencies go unnoticed for years — hidden behind a seemingly healthy coat until serious health issues emerge.
Generic cat food ignores individual metabolic needs
Every cat is unique — breed, age, activity level, and genetics all dictate different nutritional requirements that off-the-shelf food can't address.
Vet visits cost $300–$800 per diagnosis — owners often skip them
The cost and friction of professional diagnostics means millions of cats go untreated, turning preventable conditions into chronic health problems.
Catolor AI — A Health Intelligence
Layer for Your Cat
Upload a Photo of Your Cat
Snap a quick photo of your cat's coat, eyes, or stool using the Catolor app — no special equipment needed.
AI Analyzes Visual Biomarkers
Our multimodal computer vision model examines coat color, eye clarity, gum tone, and 40+ visual health indicators in seconds.
Nutritional Profile Generated
Receive a detailed nutritional assessment — identifying deficiencies, risks, and dietary gaps unique to your cat.
Custom Food Formula Recommended
Get a science-backed food recommendation tailored to your cat's needs — or have it delivered directly to your door.
Computer Vision Meets Feline Biology
Multimodal Visual AI
Trained on 500K+ cat health images across breeds, ages, and conditions — our model identifies subtle color and texture changes invisible to the human eye.
Biomarker Mapping Engine
40+ visual indicators cross-referenced with veterinary nutrition science to build a comprehensive health profile from a single image.
Adaptive Formula Recommendation
Real-time SKU matching maps your cat's nutritional output to the optimal food formula — continuously learning and improving with every scan.
A $32B Market Ready for Disruption
Built by Experts in AI,
Nutrition & Pet Care
Dr. Sarah Chen
Former AI research lead at Google Health. PhD in Computer Vision from Stanford. Cat person since age 6.
Marcus Rivera
Built ML platforms at Amazon and two YC-backed startups. Obsessed with applying AI to real-world problems that matter.
Dr. Emily Nakamura
Board-certified veterinary nutritionist with 15 years of clinical experience. Published 30+ peer-reviewed papers on feline health.
Dr. James Park
AI & Computer Vision
Former Meta AI Lab
Lisa Fontaine
Pet Industry Strategy
Ex-Purina VP
Raj Patel
Venture Partner
Sequoia Capital
Join the Round.
Own the Future of Pet Health.
We are raising our pre-seed round. Pitch deck, financials, and one-pager available on request. Get in early — this market won't wait.