Enables sending each request to the model configured for that kind of work, routing through a configurable set of capabilities and model deployments with a consistent response envelope.
Routes tasks to the appropriate model across cloud, on-device, and org-hosted endpoints based on sensitivity, role, and difficulty, with provable egress control to keep sensitive content within trust boundaries.
Enterprise-grade intent routing gateway implementing the Model Context Protocol (MCP) spec, optimizing context by routing queries to specialized sub-nodes to reduce token overhead by 85% with negligible latency overhead.
Intelligent routing service that selects optimal AI models based on capability requirements and normalizes input/output formats across multiple providers like OpenAI, Anthropic, Google, and others.
Universal MCP router and gateway that bridges LLM agents to OpenAPI, GraphQL, and AWS Lambda services with ISO/IEC 42001 AI governance, RBAC, PII redaction, semantic tool routing, and a web dashboard.