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

Standardize and Govern Enterprise AI Systems

Platform owners can centralize AI, MCP, and agent interactions through a unified gateway layer, reducing integration sprawl, enforcing consistent governance, and maintaining visibility across the organization

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Build the AI Platform Layer Your Organization Deserves

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Standardize AI infrastructure

Provide teams with reusable deployment workflows, centralized governance, and self-service access to models and servers without creating operational bottlenecks

Build governance into the platform

Enforce access controls, spend limits, and compliance policies at the platform level so teams move fast without creating risk you have to clean up later

Deploy on infrastructure you control

Run AI workloads on your own VPC, on-prem, or air-gapped environments without compromising the security posture and deployment standards your team already owns

Fits the stack you already run

Standardize secure AI access across the organization

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  • MCP auth is harder than HTTP auth — every server ships its own model, third-party OAuth and user-delegated tokens get tangled, and there's nowhere obvious to put policies.
  • TrueFoundry's MCP Gateway gives you a single registry, unified tokens (one token → many MCP servers), OAuth 2LO/3LO, and pre/post hooks on every tool call.

AI deployments built for regulated production systems

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  • Manage API keys, model access, and provider credentials through centralized access and policy management.
  • One OpenAI-compatible endpoint to OpenAI, Anthropic, Bedrock, Vertex, Azure, Cohere, Mistral, Groq, and 1200+ more. Your apps don't change SDKs when you swap models.

Routing that survives production

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  • Latency-aware, cost-aware, fallback-aware routing that goes beyond percentge-based routing.
  • TrueFoundry routes on real signals — TTFT, end-to-end latency, inter-token latency — with circuit breakers, weighted load balancing, automatic fallbacks, and cost-aware preference for your self-hosted models. Configure via YAML, GitOps, or API. Promote non-prod to prod without rewriting.

Operate AI systems within enterprise requirements

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  • Deploy across VPC, on-prem, hybrid cloud, and air-gapped environments using infrastructure your team controls
  • Integrate with RBAC, SSO, private networking, secrets management, and enterprise audit and compliance systems

AI platform workflows governed by TrueFoundry

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Replace a homegrown LLM proxy
Migrate off LiteLLM or an internal gateway without rewriting app SDK calls.
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Onboard models through approval flows
Gate which models which teams can use with structured request, review, and approval.
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Credit & Loan Decisioning Assistant
Centralize MCP server discovery, auth, and tool-call policy before usage gets out of hand.
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Scale inference to production traffic.
Handle 10x token growth with latency-aware routing, circuit breakers, and
fallbacks.
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Attribute spend and enforce chargebacks
Set caps per team, app, and model. Route budget-exception requests through approval before limits are raised.
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Run compliance and policy audits
Schedule audits across every AI workload — data handling, PII controls, policy adherence.
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For us, the TrueFoundry AI Gateway is about complete abstraction. Our applications never talk directly to model providers. We can switch models, manage throttling, and trace behavior centrally without changing code. That separation is critical as we scale agentic workflows across customers.

Rahul Bhattacharya

Co-Founder & CTO, Adopt AI
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GenAI infra- simple, faster, cheaper

Trusted by banking and financial institutions to scale AI

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