Enterprise Ready : VPC | On-Prem | Air-Gapped

Built for the architects defining how AI runs in production.

You've seen the SOAP-to-API-management-to-AI-gateway cycle before. You know the difference between a proxy that works in a demo and one that holds up in production. TrueFoundry is the unified gateway layer for LLMs, MCP servers, and agents

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Engineered for the protocol-level depth your team will actually probe in evaluation

Create reusable AI
architecture patterns

Standardize how teams interact with models, tools, and agents through a shared gateway

Prevent fragmented AI
adoption

Give every team a consistent interface for model access, routing, observability, and governance

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Maintain architectural
flexibility

Support multi-model, multi-cloud, and MCP-based architectures without locking into provider-specific infra

Connect models, tools, and enterprise systems through one AI Architecture layer

Standardize AI access through one architectural layer

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  • Use the AI Gateway to unify how teams access models, agents, and MCP servers across the organization
  • Centralize routing, authentication, policy enforcement, and fallback logic instead of embedding them into every application
  • Drop-in compatibility with OpenAI and Anthropic SDKs — provider swap is a base URL change
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Build interoperable AI systems without provider lock-in

  • Support OpenAI, Anthropic, Gemini, OSS models, and MCP-based tooling through one provider-agnostic gateway layer
  • Standardize AI interactions through open APIs and MCP-compatible architecture patterns that remain portable across environments
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MCP isn't just HTTP traffic. Your gateway shouldn't pretend it is.

  • Cloud-native API gateways handle the easy half of MCP and leave you to build the rest. Our MCP Gateway treats MCP as a first-class protocol.
  • Unified token management — one token, many MCP servers. OAuth 2LO and 3LO flows handled at the gateway.
  • Virtual MCP servers compose tools across backends without exposing underlying credentials. Bring your own credential storage.

Embed governance directly into the AI architecture

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  • Self-hosted in your VPC: egress policies route AI traffic through the gateway by construction.
  • Scoped API keys, PATs, and Virtual Account Tokens make direct-to-provider access traceable and revocable.
  • Cedar/OPA policy hooks run pre and post on both LLM calls and MCP tool calls. Every request logged at the egress point.

Platform workflows you can build. Governed by TrueFoundry

Team onboarding to the plaform
Route requests through an approval flow, with quotas and allowed models assigned, without a single infra ticket.
New model or vendor approval
Create an approval workflow before any model is added to the approved model list via the LLM Gateway
Monthly AI costs review
Pull a breakdown of token usage and cost by team, model, and project all in one place.
Security audit response
Pull a full log of every LLM call and export it for your security or compliance team in minutes.
Sensitive data exposure incident
Trace the exact call, identify which team and prompt triggered it, apply a redaction rule at the gateway.
Rolling out a new compliance policy
Define policies once at the gateway layer and enforce automatically across every team's calls.
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With TrueFoundry’s AI Gateway, we finally have one consistent interface for all model providers, policies, and telemetry. It eliminated the overhead of managing keys, routing logic, and scattered observability. Introducing new models is now just configuration. The Gateway has improved developer velocity, reduced DevOps burden, and helped us operate multimodel systems with real-time insights and governance.

Vibhas Gejji

Staff ML Engineer, Automation Anywhere
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GenAI infra- simple, faster, cheaper

Trusted by banking and financial institutions to scale AI

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