Create AI tools at the forefront of veterinary medicine — through research, collaboration and clinical innovation.
Every tool starts from a real hospital workflow. Board-certified veterinarians work alongside ML engineers on design, validation, deployment and long-term maintenance, so the same people who build a tool are accountable for how it performs.
The people behind ANI.ML Health
Dr. Christopher Pinard
Lead Scientist / CEO
Dr. Kuan-Chuen Wu
Co-Lead Scientist / CTO
Andrew Lagree
Senior Engineer
Tyler Poore
Lead Machine Learning Engineer
Nolan Chai
Co-Lead Machine Learning Engineer
Alessandro Guerrero
Co-Lead Machine Learning Engineer
Aleena Shabbir
Machine Learning Scientist
Dharma Suarez Palacios
Machine Learning Scientist
Markus Gruendler
Machine Learning Engineer
Vern Lewis
Bioinformatics Scientist
Balto’s consultations are provided by a separate network of board-certified specialists. Meet Balto’s doctors →
Published, reproducible evaluation
We publish how our tools are tested, and we built VAULT so any veterinary AI tool can be measured the same way.
Five tools, one team
Built with clinics and research groups
- VSx
- Southeast Oakville Vet
- Toronto Animal Cancer Centre
- King Animal Hospital
- MI RNA
- Morris Animal Foundation
Our open-source work, including OpenBark, is public on GitHub. github.com/ANI-ML ↗
Work with us
Running a study, rolling out a clinical tool, or benchmarking a model — tell us what you are working on.
Let’s build something useful.
We bring real tools, real data, and real moments back to veterinary medicine.