We fine-tune general-purpose LLMs into Specialized Language Models (SLMs) trained on clinical protocols, regulatory documents, and safety data. This enables high-accuracy outputs in tasks like regulatory writing, quality documentation, and trial automation, always compliant and audit-ready.

We design multi-agent architectures, where each AI agent is assigned a precise role, like validation, summarization, or decision support, aligned with your domain logic and compliance needs. Built-in human-in-the-loop and feedback mechanisms ensure traceability, consistency, and trust.

To enhance accuracy and reduce hallucinations, we combine LLMs with real-time access to validated, domain-specific sources (e.g., SOPs, safety databases, clinical records). RAG ensures outputs are fluent, fully traceable, and compliant with FDA 21 CFR Part 11.

We deploy solutions on client-specific infrastructure, ensuring complete data ownership and eliminating SaaS-related risks. With full control, end-to-end encryption, and strict access protocols, our systems meet regulatory standards like HIPAA and FDA 21 CFR Part 11, delivering security without compromise.