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TrueFoundry AI Gateway

TrueFoundry AI Gateway

Connect, observe & control LLMs, MCPs, Guardrails & Prompts

Website truefoundry.com
Overview

What it is

TrueFoundry’s AI Gateway is the production-ready, control plane to experiment with, monitor and govern your agents. Experiment with connecting all agent components together (Models, MCP, Guardrails, Prompts & Agents) in the playground. Maintain complete visibility over responses with traces and health metrics. Govern by setting up rules/limits on request volumes, cost, response content (Guardrails) and more. Being used in production for 1000s of agents by multiple F100 companies!

Intent

I need it when

Deploy AI infrastructure securely in regulated environments with data sovereignty requirements

Supports VPC, on-prem, air-gapped, and multi-cloud deployments where no data leaves customer infrastructure. Offers 99.99% uptime with centralized failovers and geo-aware routing for regional compliance. Enterprise tier includes 24/7 SLA-backed support and custom deployment options.

Manage and route requests across 1600+ LLM models from multiple providers (OpenAI, Claude, Gemini, Groq, Mistral) through a single unified API

AI Gateway provides a single API endpoint that abstracts 250+ LLM providers and 1600+ models, eliminating need to manage separate SDKs and authentication per provider. Supports chat, completion, embedding, and reranking model types with intelligent routing and automatic failover to secondary models when primary fails.

Ensure enterprise governance, security, and compliance across AI model usage at scale

AI Gateway centralizes access control with RBAC, SSO, OAuth2, and API key management. Supports SOC 2, HIPAA, and GDPR compliance. Enables policy enforcement through guardrails (PII filtering, toxicity detection), audit logging, and role-based access control to isolate team and agent workloads.

Reduce AI infrastructure costs and prevent budget overruns from uncontrolled token usage

Gateway delivers up to 30% cost optimization through smart routing, token batching, and budget controls. Enforces rate limits per user/service, sets cost-based or token-based quotas with metadata filters, and provides real-time cost tracking and alerts to prevent overspend.

Gain real-time visibility into AI model performance, costs, and compliance across teams and environments

Unified metrics dashboard tracks token usage, latency, error rates, and request volumes across all models. Stores full request/response logs for compliance inspection and debugging. Supports filtering by model, team, user, geography, and custom metadata to pinpoint root causes and accelerate resolution.

Drop

Not a fit when

  • Organization requires fully open-source, self-managed gateway with no SaaS option or vendor lock-in concerns
  • Use case involves only single LLM provider with no multi-model routing, failover, or governance needs
  • Budget is extremely constrained and organization cannot afford minimum $499/month Pro tier for production workloads
  • Compliance requirements prohibit any cloud-based gateway and on-prem deployment is not feasible due to infrastructure constraints
  • Application requires real-time inference with sub-millisecond latency where network hop through gateway is unacceptable
Commercials

Pricing

USD0 - USD2999 / monthly View pricing