Pet Vision
This one was personal for us. Pet Vision uses custom neural networks we trained to help veterinarians diagnose orthopedic and respiratory conditions from X-rays and ultrasound images. The system generates real-time heatmaps highlighting potential problem areasit's not meant to replace the vet, but to act as a second pair of eyes. We spent months working with actual veterinary radiologists to calibrate the models, and it shows in the accuracy numbers.
The Result
"Achieving 94% accuracy in detecting orthopedic abnormalities in clinical trials."
Key Tech used
Stack Architecture
Deployment
How It Works Under the Hood
The key modules that make Pet Vision tick.
Image Analysis Engine
Built on PyTorch, trained specifically on veterinary anatomy. It knows the difference between a cat femur and a dog tibia.
Radiologist Dashboard
High-contrast image viewer where vets can review AI findings side-by-side with the original scan. They confirm, adjust, or override as needed.
Instant Reports
One-click PDF generation with AI findings, annotated images, and plain-language summaries that pet owners can actually understand.
Like What You See?
We'd love to build something like this for you. Let's chat about what you have in mind.