Blog
Notes from the synthetic data lab.
Engineering deep-dives, applied research and lessons learned training AI without real-world data.
HealthcareMar 04, 2026
Why we're betting on synthetic data for healthcare AI
A look at why real medical data is so hard to obtain and how synthetic chest X-rays are closing the gap for diagnostic models.
AutonomyFeb 18, 2026
Training autonomous vehicles on edge cases that don't exist
Generating rare driving scenarios — fog, occluded pedestrians, debris — that fleets simply can't capture in the wild.
PrivacyJan 29, 2026
Differential privacy, plain English
How we tune epsilon so synthetic datasets stay statistically faithful while making re-identification mathematically impossible.
EngineeringJan 12, 2026
Scaling generation to millions of samples per hour
How our distributed scheduler turns 100 hours of generation into 6 — and what we learned profiling diffusion at scale.