AI & spatial computing for veterinary medicine

Empowering veterinary teams to make meaningful change

Veterinarians and ML engineers building validated tools for real hospital work — summarizing records, documenting visits and running clinical trials.

hachiko · summaryValidated
Pepper · canine · post-op recheck

Assessment — healing well; no complications

Plan — continue NSAID, recheck in 14 days

Owner note — appetite normal, mild lethargy day 2

11 pages → 3 linesExport to EMR
ARC · study VO-214
ScreenedConsentedEnrolledWk 6
Signed by Dr. Ilić

Working with clinics and research groups

Why us

A multidisciplinary team, built around you

Whatever you are working on, you work with the same clinicians and engineers from start to finish.

01

Clinical first

Board-certified veterinarians work alongside ML and spatial-computing engineers, so every tool starts from a real hospital workflow rather than a tech demo.

02

One coordinated team

Project design, model development, deployment, training and long-term maintenance come from the same people — whether you are running a study or rolling out a clinical tool.

03

Built with you

We co-develop and validate alongside practices, hospitals and research groups, then keep improving the tools once they are in daily use.

Our mission

Create AI tools at the forefront of veterinary medicine — through research, collaboration and clinical innovation.

Trustworthy, comprehensive and validated tools for clinical teams and researchers.

Research

Transparent about how our tools are built and tested

Hachiko

Clinical summarization

Validating model pipelines that condense long medical records without losing what matters clinically.

OpenBark

Local language models

Measuring how well on-device scribes perform when nothing leaves the clinic.

ARC

Trial infrastructure

Tooling for veterinary trials, from consent to database lock.

Meet our team

Clinicians and engineers, working as one team

Veterinarians, machine-learning scientists and engineers turning clinical questions into tools that hold up in practice.

Dr. Christopher Pinard

Dr. Christopher Pinard

Lead Scientist / CEO

Dr. Kuan-Chuen Wu

Dr. Kuan-Chuen Wu

Co-Lead Scientist / CTO

Andrew Lagree

Andrew Lagree

Senior Engineer

Tyler Poore

Tyler Poore

Lead Machine Learning Engineer

Nolan Chai

Nolan Chai

Co-Lead Machine Learning Engineer

Alessandro Guerrero

Alessandro Guerrero

Co-Lead Machine Learning Engineer

Aleena Shabbir

Aleena Shabbir

Machine Learning Scientist

Dharma Suarez Palacios

Dharma Suarez Palacios

Machine Learning Scientist

Markus Gruendler

Markus Gruendler

Machine Learning Engineer

Vern Lewis

Vern Lewis

Bioinformatics Scientist

Need to know

Questions, answered

Something else on your mind?

Let’s build something useful.

We bring real tools, real data, and real moments back to veterinary medicine.