Cognifyr built a private on-premise AI knowledge and research assistant for a leading US healthcare and medical research organization.
The organization wanted AI-powered search and summarization across sensitive medical, operational, and research data without sending private documents or patient-adjacent information to external AI platforms.
The Challenge
Sensitive healthcare and research documents could not leave the controlled environment
Manual search across clinical guidelines, SOPs, reports, and research files was slow
Answers needed to be grounded in approved sources with traceability
Access needed to respect department and role permissions
A normal cloud chatbot was not acceptable for internal data governance
OUR SOLUTION
Secure On-Premise AI Research Assistant
Private RAG Pipeline
Internal documents are indexed securely and retrieved only when relevant and authorized for the current user.
- Private indexing
- Source-grounded answers
- Approved context retrieval
Permission-Aware Retrieval
Role checks happen before retrieval so restricted documents are blocked before they can enter the model context.
- RBAC enforcement
- Department-level permissions
- Audit-friendly access
Research Acceleration
Teams can summarize long documents, compare guidelines, discover relevant research, and generate briefs from approved internal sources.
- Semantic search
- Multi-document summaries
- Source references
Private Healthcare AI Workflow
User Login
Users authenticate inside the organization and inherit role-based permissions.
Secure Search
The retrieval layer searches only approved medical, research, SOP, and policy sources.
Local AI Processing
The model processes filtered context within the controlled infrastructure.
Source-Backed Answer
The assistant returns a grounded answer with source references and logs the interaction.