Machine learning solutions that make business effortless.
Your business has blind spots. We can eliminate them.
Machine learning solutions that make business effortless.
Your business has blind spots. We can eliminate them.
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Remote pupil size estimation
App-based heart health monitoring
App-based heart health monitoring
We teamed up with a leading cognition lab at Yale to automate the measurement of pupil changes in adults, infants, and nonhuman primates. By removing hours of manual analysis and enabling remote testing, we help expand what's possible in cognitive research.
App-based heart health monitoring
App-based heart health monitoring
App-based heart health monitoring
We developed a mobile platform that continuously processes ECG data, flagging potential heart irregularities before they escalate. It's compatible with highly accessible wearable sensors, making proactive heart care simpler for everyone.
Intelligent price elasticity estimation
Intelligent price elasticity estimation
Intelligent price elasticity estimation
We created a custom machine learning pipeline to measure how demand responds to different price points, helping one client see how small changes could make a big impact. That clarity removed the guesswork from setting prices and allowed for more flexible strategies.
Ultrasound analysis automation
Intelligent price elasticity estimation
Intelligent price elasticity estimation
We collaborate with University of Miami researchers to automatically turn raw ultrasound data into precise diagnostic insights through custom AI pipelines. By cutting manual measurement time and offering near-instant feedback, our system helps accelerate clinical evaluation and improve patient care.
ETHAN THOMAS
Founder & CEO
Ethan Thomas is an AI researcher and entrepreneur focused on developing machine learning solutions that are both technically rigorous and useful to industry and researchers alike. As the founder of Cynova Technologies, he has worked on everything from AI-driven pricing optimization to automation tools that diagnose cardiac diseases. A two-time ISEF finalist and Regeneron Science Talent Search scholar, he’s been recognized for his ability to bridge cutting-edge machine learning technologies with real-world needs. Beyond his own work, he’s led machine learning teams and developed curricula to make advanced AI more accessible, with an emphasis on making machine learning scalable, environmentally friendly, and useful for everyone.