AI-Powered Veterinary Tools
About RadAnalyzer
From a 48-hour hackathon to a peer-reviewed platform — we are making gold-standard veterinary cardiac measurement accessible to every clinic.
Born at Aggies Invent
RadAnalyzer started where great ideas at Texas A&M often do — under pressure. Aggies Invent is Texas A&M Engineering's flagship 48-hour innovation competition, and in that sprint our founding team built a binary algorithm capable of predicting enlarged hearts from veterinary radiographs. The result: a $1,000 prize and the conviction that this technology could make a real difference in veterinary medicine.
We kept running with that algorithm. What began as a competition prototype evolved into a deep-learning platform validated against board-certified cardiologist measurements. We partnered with the Texas A&M College of Veterinary Medicine to conduct a rigorous clinical study — and the results are now pending publication.
Pending Publication
Preprint — bioRxiv
Validation of deep learning enabled web based and smartphone optimized application RadAnalyzer to measure vertebral heart size and vertebral left atrial size in dogs
Sonya Gordon, Tomas Reyes, Tabitha Baibos-Reyes, K. Tess Sykes, Alice Watson
Read the PreprintOur Mission
Cardiac disease is one of the leading causes of death in dogs and cats. Early, accurate measurement of VHS and VLAS can change outcomes — but gold-standard reads have historically required specialist training and time that most general practices simply do not have. RadAnalyzer exists to close that gap: delivering board-certified-quality cardiac scoring in seconds, at a price every clinic can afford, with the veterinarian always in the loop.
But cardiac scoring is just the beginning. We are building a suite of AI-powered veterinary tools — from feline kidney screening to future diagnostic models — each trained on real clinical data contributed by veterinary professionals through RadAnalyzer DataHub. Every data point moves the entire profession forward.
Meet the Team
Tomas Reyes
Founder & CEO
Texas A&M Engineering graduate who built RadAnalyzer's core algorithm in 48 hours at Aggies Invent and grew it into a production platform for veterinary clinics worldwide.
Tabitha Baibos-Reyes, DVM
Co-Founder & Clinical Lead
Doctor of Veterinary Medicine and Texas A&M alumna who bridges the gap between clinical practice and technology, ensuring RadAnalyzer meets the real-world needs of veterinarians.
Partners & Collaborators
Google Cloud
Cloud infrastructure partner powering RadAnalyzer's AI models, image processing, and secure data storage.
Texas A&M University
Collaborating with Dr. Sonya Gordon and the College of Veterinary Medicine on model validation and veterinary cardiac research.
Ready to See RadAnalyzer in Action?
Whether you are a veterinarian, researcher, or potential partner, we would love to hear from you.