Deterministic policy enforcement for AI agent tool calls. It evaluates every tool call against user-defined rules before execution, with no LLM in the authorization path.
Demo MCP for insurance underwriting decision support, reading application forms, health questionnaires, and medical exam results to return justified recommendations using deterministic rules.
Ontology-driven multi-agent platform that encodes business policy as code, enabling deterministic decision-making and multi-domain agent collaboration without code redeploy.
Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.