Accelerate drug discovery and collaborative research without ever exposing raw patient data or proprietary genomic models.
Healthcare institutions and pharmaceutical companies sit on massive datasets that could revolutionize medicine, but HIPAA, GDPR, and tribal data silos prevent effective collaboration. The cost of data breaches (averaging $9.7M in healthcare) creates a paralyzed environment where the risk of sharing often outweighs the reward of discovery.
Lucid enables "Confidential Collaborative Learning." Multiple entities can train a shared AI model on their private data without the data ever leaving their respective firewalls. We replace legal data transfer agreements with technical hardware guarantees.
Model training happens inside a TEE. Even the hospital administrators hosting the hardware cannot view the patient data being processed.
Only the final, aggregated model weights are released. Individual patient records are cryptographically protected from extraction.
Provide HIPAA auditors with hardware-signed evidence that the data stayed encrypted during the entire compute lifecycle.
Privacy shouldn't be a blocker to progress—it should be its foundation. Lucid transforms patient privacy into a technical asset that unlocks unprecedented collaborative research opportunities.
Healthcare leads all industries in data breach costs, driving the urgent need for verifiable privacy.
Maintain 100% data residency while enabling global AI collaboration through hardware-enforced local training.
Accelerate time-to-market for new drugs by enabling instant, secure collaboration between pharma and clinics.
Secure your patient data and unlock the next medical breakthrough. Contact our life sciences team to discuss secure research.