TarqaAI for Teams & Enterprise - One layer for your agents and teams.

Hey Product Hunt 👋 I'm Sudhanshu, founder of TarqaAI. When we first launched, TarqaAI was "one API key for every model." Since then we kept hearing the same thing from teams shipping AI in production: access isn't the hard part anymore — control is. Who can call which model, how much they can spend, what data leaves the building, and whether you can prove any of it later. So we rebuilt TarqaAI into a full control plane for AI: More models and latest Ones — Claude Opus 4.6, GPT-4.1, o3, Gemini 2.5 Pro, Llama 4, DeepSeek-R1 — plus your own local GPUs, behind one endpoint. Swap models with a one-line change. Governance built in — dual-gate budget limits that hard-block runaway bills, 5-role RBAC, SAML 2.0 SSO, exportable audit trails on every token. (You should work on Rag as are ) Embedded RAG — ground answers on your own docs, no separate vector DB. GPU tunnels — expose a self-hosted model over a secure tunnel and your whole team queries it at $0 cloud inference. A few of you asked last time how this differs from OpenRouter: OpenRouter connects you to models. TarqaAI is what a team or org builds on top of them — the auth, budgets, audit trails and on-prem routing that make AI safe to deploy in enterprise and government settings. Live and free to try, no credit card: https://tarqaai.com Would love your feedback — what's the one cost-control or governance feature that would make you trust AI in production? 🙌