TrueFoundry

Founded by Nikunj Bajaj & Abhishek Choudhary & Anuraag Gutgutia in 2022

Deploy, route, and monitor large language models and autonomous agents across cloud environments

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use TrueFoundry to deploy, govern, and monitor machine learning models and AI agents across your own cloud or on-premise infrastructure. It gives you a central gateway to route traffic across various model providers, set rate limits, and control compute spending. You can also connect agents securely to internal tools via MCP servers, track every prompt and response with detailed tracing, and enforce role-based permissions. This ensures your engineering team scales production AI workloads safely while maintaining complete data privacy and regulatory compliance.

What TrueFoundry does

Route LLM API requests with automated fallbacksConfigure rate limits and cost controls for model endpointsTrace agent reasoning steps and tool execution latencyManage access tokens and permissions for AI modelsConnect internal tools to agents via MCP serversDeploy machine learning models to private Kubernetes clustersMonitor GPU utilization across active inference workloadsRoute traffic dynamically across model providers based on cost and latencySet rate limits and spending caps across models and API keysTrace multi-step agent actions and tool calls end to endConnect agents to tools and servers using standardized MCP protocolsDeploy models inside private VPCs, on-premise servers, or air-gapped clustersMonitor GPU utilization, token counts, and request latency centrallyEnforce role-based access control and retain immutable audit logs