Healthcare & Life Sciences

Sensitive health and research data are subject to strict regulations (HIPAA, GDPR), and exposure through external AI services can breach trust and compliance.
Generative models can produce inaccurate or biased outputs, which undermines clinical safety, fairness, and regulatory acceptance
Complex IT systems, unclear AI governance, and clinician skepticism slow down safe deployment in regulated healthcare environments.

• Deploy entirely within your environment (cloud VPC, on-prem, or air-gapped) to eliminate data transfer to third parties and maintain auditability under HIPAA and NIST AI RMF.
• Use hardened model servers, safeguards, and model scans to uncover vulnerabilities and bias before and after deployment (ensuring trustworthy, validated results).
• Integrate APIs for LLMs, vision, and document AI into existing systems (EHR, research platforms) with full logging, access controls, and monitoring aligned with OWASP and healthcare compliance standards.

Accelerate Innovation, Protect Patient Data and IP