Better health for the patients who can't ask for it.
Animals can't tell us what's wrong — and off-the-shelf AI gets it wrong about half the time. Ruvv Labs is building the clinical data that fixes that, with the people who already know: credentialed vets. And we pay for their expertise.
Ruvv Labs has been admitted to the NVIDIA Inception Program for startups.
NVIDIA and NVIDIA Inception are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.
Pet owners increasingly lean on AI for their animals' health. But most of it is trained on images scraped from the web or labeled by non-experts — with no clinical ground truth. That is how you get tools that are confidently wrong.
Better tools for pets need better data — and better data needs real vets. That is what we are building — with the profession, not around it.
A large, expert-labeled library of real clinical scans — captured and labeled by credentialed veterinarians on a controlled medical vocabulary, not free text.
- 10 scan types — dental, ears, eyes, skin & coat, body condition, orthopedic gait, and more.
- 600+ clinical features drawn from recognized veterinary standards — AVDC dental charting, WSAVA body condition, CAFSS dermatology, LOAD, and AAHA guidelines.
- Every scan carries both a veterinarian's read and an AI read, reconciled against each other.
Every submission runs an AI-plus-human verification pipeline: quality scoring, species and body-part matching, biometric duplicate and fraud detection, gold-standard honeypots, and continuous random audits.
Around 97% of automated decisions agree with expert human review — and nothing is silently trusted.
We are early, and we are building this with the profession. If you are a qualified vet, the images you already take during an exam are worth something — contribute your clinical judgment, and be paid for it. Remote, flexible, paid in your local currency via trusted international payment providers.
Contributors submit only what they choose to — with owner permission and no identifying client information. Every submission is reviewed individually, and the data is handled with clinical-grade care.
For partnerships, research, or general enquiries.
[email protected]