Multi-LLM Knowledge Platform

Enterprise teams in regulated industries like healthcare wanted the speed of generative AI without the risk: answers with no verifiable source, and getting locked into a single AI vendor.

The Approach We built a governed AI platform that closes both gaps at once:

• Governed Knowledge Layer: structured, version-controlled, human-approved documents instead of a black-box vector index, with every answer traceable to its source.
• Model-Agnostic Connectivity: native MCP connectivity and a custom-built MCP server, so knowledge stays portable across every AI tool a team uses.
• Centralized Model Gateway: API keys, role-based access, and spend tracking across 125+ models, so switching providers never means losing anything.
• Approval-Gated Execution: sensitive agent actions route through a human before firing, with a full audit timeline.

The result: citation-backed answers using 3× fewer tokens per query, a 97% answer-quality pass rate, and a deployment posture that satisfies SOC 2, HIPAA, and GDPR out of the box.