Rolling out AI in healthcare is hard: sensitive data, strict regulation, and a higher accuracy bar. CrunchDAO removes the friction, taking models from encrypted dataset to bedside use in months, not years. 🧵

A provider uploads fully obfuscated data, meeting privacy laws without endless NDAs or legal audits. The raw records never leave their perimeter, yet the problem is crystal clear for competing researchers.

Then, CrunchDAO launches a challenge to thousands of ML engineers from around the world. Models stream in and are scored on unseen holdouts, so only true predictive power rises on the leaderboard.

Regulatory risk drops because every model runs inside a logged, deterministic sandbox. Auditors can trace each prediction without sifting through custom scripts or opaque pipelines.

When the competition closes, top models are containerized and exposed through a secure endpoint that plugs into healthcare systems with a single REST call. No new hardware, no months of vendor onboarding.

Every time a clinician or analyst triggers the endpoint, the model creator is paid. Incentives stay aligned for continuous improvement, while finance teams skip invoice cycles.