a solution that scales
Diadia is built by researchers and engineers who deployed AI in high-stakes environments long before healthcare began debating whether AI could be trusted in medicine. We started where the field is now headed.
We are living in a fascinating and frustrating era of healthcare. Clinicians have more data than ever, yet they often lack the resources and time to process it efficiently. Unable to connect the dots across thousands of variables, even the best practitioners are forced to rely on heuristics and trial-and-error.
Closing this gap is more than a career pursuit for me, it’s personal. Doctors dismissed my symptoms when labs appeared “normal,” and I had to look for answers myself. So, I applied my deep experience in AI and machine learning at organizations like Google, Change.org, and Reddit to improve healthcare, making it smarter, cheaper, and more personalized.
our mission
Diadia is a verified reasoning layer that helps clinicians turn complex biological data into clear, evidence-linked insights and protocols. The goal is not to replace clinical judgment, but to make it more accurate, transparent, and easier to scale.
The next era of intelligent healthcare won’t be won by generic AI wrappers, symptom chatbots, or black-box automation. It will be won by explainable, clinician-supervised reasoning systems that can show their work, streamline diagnostic workflows, and deepen clinical knowledge.
trusted bY EXPERTS
Precision medicine will be AI-first because of large data volumes. There's no way a single physician could streamline all that information. I already know, after going through iterations of it, that Diadia is going to be one of the best technologies I've seen to help bring precision medicine to the forefront of healthcare.
Where world-class, multidisciplinary medical experts meet world-changing technology.
CEO & Co-Founder
PhD in Machine Learning from Jožef Stefan International Postgraduate School. Serial AI founder with two decades across Google, Reddit, and Change.org as head of AI. Pioneered Reddit’s first data science/safety systems.
CTO & Co-Founder
Built ML, geospatial, and real-time marketplace systems behind Uber’s logistics brain. Founding member of Uber’s self-driving logistics platform with multiple patents. Contributed to Google[X] Project Loon.
Founding AI Scientist
Stanford PhD in Biophysics and Berkeley/LBNL postdoc in scientific ML and interpretability. Built computational methods for brain dynamics, topological data analysis, RNA modeling, and citizen-science systems.
Head of Product
20+ years leading product and strategy across AI, digital health, and SaaS. Former product executive at Time Inc., Scaled Livemocha to 200K DAU (acq. by Rosetta Stone). Launched and grew Cozi Gold from 250K to 1.2M monthly active families.
Functional Medicine Doctor
Regenerative and Cell Therapy, AMMG
CMO, Advisory
Founded Greatist, scaled to 10-20M monthly readers before acquisition by Healthline/Red Ventures. Built Ness and advises/grows healthcare brands including GoodRx, Parsley, Midi, NOCD, and Ro.
Member of Technical Staff
2x founder, product engineer, and UX/UI builder with 14+ years shipping products. Co-founded Anyone and founded award-winning Lucky Duck, a London design-and-development agency.
Member of Technical Staff
Early ReStream. Built Studio product from a single-scene into multi-scene platform for streamers.
Our elite team of clinical advisors shape the reasoning of our engine and guide our clinical advancements.
Medical Advisor
Functional Medicine · Bestselling Author · TEDx · XPRIZE
Medical Advisor
Systems Biology · CMO Apeiron ZOH and Mosaic Biodata · AMMG · A4M
No subscription. No platform fee. No cost to your practice. Patients pay for diagnostics through the platform, at or below market rates, with no billing burden on your office.
© 2026 Diadia. All rights reserved.
© 2026 Diadia. All rights reserved.