We work like a research lab and deliver like a commercial partner.
We've built AI health systems that were validated in clinical studies, funded by NIH and DARPA, covered by Wired and the Financial Times, and spun into startups of their own.
Led by a recognized leader in AI for healthcare.
Our founder and chief scientist is a tenured full professor of computer science and AI, with 25 years spanning academia, industry R&D, and consulting. That track record includes $50M+ in funded research, 200+ peer-reviewed publications, multiple patents, and two co-founded AI health tech startups. Day-to-day delivery is led by our managing partner, a PhD AI researcher and co-author on our clinical publications.
Whatever your data, we've likely built with it.
We have researched, built, and validated AI systems across the modalities that matter in digital health.
| Domain | What We've Built |
|---|---|
| Medical Imaging AI | Wound and burn assessment from smartphone photos and thermal images; infection detection; echocardiogram analysis for cardiac conditions; breast cancer histopathology. |
| Wearables & Remote Monitoring | Pre-symptomatic illness detection from health trackers; osteoarthritis pain prediction; circadian rhythm analytics. |
| Speech & Audio AI | Traumatic brain injury assessment from speech; privacy-preserving voice analysis; illness detection from audio. |
| Smartphone Sensing | Gait-based impairment detection; activity and behavior recognition; mental health sensing. |
| Clinical Decision Support | Explainable AI for care decisions; tools co-designed with and evaluated by clinicians. |
"Whatever your data (images, sensor streams, audio, text, or EHR), we have peer-reviewed, deployed experience with it."
Evidence over benchmarks.
Our AI, measured against clinicians.
Our deep learning wound infection model was evaluated head-to-head against healthcare professionals. The work was nominated for Best Paper at the American Association of Plastic Surgeons' 2025 Annual Meeting.
Our systems reach real users.
We have built and deployed health sensing apps used by thousands of people, and clinical decision-support tools evaluated with physicians, nurses, and patients. We don't just benchmark on datasets.
Our methods are validated the hard way.
Clinical studies with hospital partners. Subgroup and fairness evaluation across patient populations. Peer review at top venues including NeurIPS, AAAI, and IEEE journals.