Enterprise AI platform with an AI gateway
INFRO vs TrueFoundry
TrueFoundry is an enterprise AI platform: an AI gateway, an MCP gateway and an agent gateway beside model deployment and serving, fine-tuning and agent tooling, deployable as SaaS, hybrid, in your own cloud, on-premises or air-gapped. Its gateway, usable on its own, covers 1000+ models across chat, embeddings, images, audio, rerank and realtime, with routing, budgets, guardrails including prompt-injection checks, semantic caching, prompt management and RBAC. For an enterprise that wants one platform for both hosting models and governing calls to them, inside its own perimeter, it is a strong fit.
- The gateway has to run on-premises or air-gapped. TrueFoundry deploys that way and documents running the gateway behind a forward proxy with no direct internet access; INFRO is a hosted service, and self-hosted or hybrid deployment is scoped engineering under an enterprise agreement — nothing is packaged to run air-gapped today.
- You host and fine-tune your own models as well as calling commercial providers. TrueFoundry serves models on your infrastructure and governs calls to them from the same platform; INFRO operates no inference and routes only to providers and endpoints you connect.
- You want an MCP platform that hosts and publishes servers, combines tools into virtual servers and gives agents one key to all of them. INFRO's MCP gateway proxies MCP servers you run yourself, on the Business plan, and hosts none.
- Semantic caching, prompt management or the widest model catalog is part of the requirement. Those are on their side of the table, not ours.
This section is not a courtesy. If one of these describes you, pick TrueFoundry — a customer who adopts the wrong layer on our advice is worse for us than one we never had.
Where the two actually diverge.
- A platform you adopt, or a control plane over what you already pay for
- TrueFoundry's gateway sits inside a platform whose larger job is running AI workloads on your infrastructure: deploying models, fine-tuning, GPU capacity, agents. INFRO runs no workloads. It sits between your applications and the provider accounts you already hold, and its job is the operating surface around those calls: which project may call which model, what it may spend, which provider serves it when another fails, and what the request cost. If you are building an internal AI platform, theirs is the broader foundation. If your models come from providers you already contract with, a platform built for hosting is more than the problem needs.
- Estimated cost, and then the provider's own number
- Both products estimate each request from a price catalog and both accept your own contract rates — TrueFoundry as Private Cost per model, INFRO as negotiated rates per model and provider kind from the Team plan. TrueFoundry's cost-tracking documentation describes no check against what the provider actually billed. On the Business plan INFRO reads OpenAI's and Anthropic's own cost APIs, stores the reported cost beside its estimate for the same days, and states the variance — so a budget built on the estimate can be defended when the invoice arrives.
- What the budget does at the limit
- TrueFoundry's budget rules match on users, teams, virtual accounts, models or metadata, return 429 when a budget is exceeded, and can run in an audit mode that only tracks and alerts. INFRO's budgets sit at organization, project, member and key, refuse with 402 before the provider is called, and alert at your own thresholds; from the Team plan one cap covers every end customer of your product, with a refusal your application can show its own user. Neither is better in the abstract — the question is whether your spend is owned by people and teams or by projects and keys.
- Who buys it, and how
- TrueFoundry is sold to enterprises building on a platform, with the deployment shape agreed per customer. INFRO's four plans are published, each with a 14-day trial of the plan in full, and take 0% of model spend: your providers bill you for inference under your own contracts, and INFRO bills a subscription for the control plane.
Side by side.
Our column carries dashes too. A comparison where one side is all checks is one nobody believes, and rightly.
| Capability | TrueFoundry | INFRO |
|---|---|---|
| One API across many providers | yes1000+ models | yesthe providers you connect |
| Routing, retries and failover | yesweight, latency or priority | yes |
| Your own provider accounts | yes | yesconnected per environment |
| On-premises and air-gapped deployment | yesVPC, on-prem, air-gapped | partialenterprise agreement; not packaged today |
| Model hosting and fine-tuning | yesthe wider platform | noroutes to your providers |
| Budgets that refuse a request | yes429; users, teams, models, metadata | yes402; org, project, member, key |
| Estimates at your own rates | yesPrivate Cost per model | yesstored per organization; Team plan |
| Reconciliation against the provider's own bill | no | partialOpenAI and Anthropic, Business plan; variance stated |
| Guardrails | yesPII, prompt injection, moderation | partialchat patterns plus prompt classifiers; Business plan |
| MCP gateway | yeshosts, publishes and combines servers | partialproxies your own servers; Business plan |
| Response caching | yessemantic | partialexact match, chat completions |
| Prompt management | yes | nonot built |
| Image, video, and audio | partialimages and audio; no video documented | yesone request shape each |
| Available today | yes | noprivate early access |
Our reading of each product's public documentation as of October 2026. We do not quote competitors' prices — theirs change and a wrong number about someone else's business is worse than none. Think a row is wrong? Tell us and we will fix it.
Work out what the difference is worth
Estimate what your current model mix costs at your providers' list rates and the plan it needs, or have us read your real usage and tell you where we would and would not help.