Ship agents that survive the security review.
Yantra turns a plain-English description into a production agent — with the run trace, retention policy and AI disclosure your customer's vendor review is going to ask for. Onboarding is managed by our team, so your organisation starts with everything set up.
Why teams choose Yantra
Built to get agents into production, not just into demos
Every run leaves a record
Prompt, tools called, tokens, cost, latency — captured per run and retained on a policy you set. Export it as evidence, not a screenshot.
Disclosure and retention are enforced, not documented
EU AI Act Article 50 disclosure is on from the first run, and your retention floor is applied by the platform, not by a policy PDF.
Your keys, your region, or ours
Start on the community model pool. Move to your own keys, an isolated runtime, or local inference — without rebuilding the agent.
See it in action
One description in, a working agent out
AI-generated · disclosure shown
Beyond one prompt and a reply
Build real multi-step workflows, not just chat
When a single call-and-respond isn't enough, wire up a graph: the same directed-workflow concept LangGraph popularized, built into every agent. Steps call the LLM, run tools, route conditionally, or transform state — all sharing one run, traced end to end.
- Chain multiple AI calls, each with its own system prompt, model, and temperature
- Loop a step until a quality bar is met, or a research pass has gathered enough
- Route conditionally — a router step decides what happens next from the actual output, not a fixed order
- Share one state across every step, with explicit rules for how each field accumulates
- Build it visually — drag nodes onto a canvas and connect them, no YAML required
Platform
Everything an agent needs to go live
Natural-language agent builder
Describe what you need in plain English. Yantra drafts a full agent spec — system prompt, tools, channels, and compliance profile — ready to review and deploy.
Bring your own key, or use ours
Agents run on a managed model pool with automatic fallback across providers, or plug in your own OpenAI, Anthropic or Gemini key and we route to your account directly.
Deploy to real channels
Web chat, REST API, or connect real external tools — GitHub, Slack, Notion, and more — with per-tenant isolated credentials.
Enterprise API access
Generate platform API keys scoped to a single agent or your whole workspace, so you can call agents programmatically from your own backend.
Built-in compliance
EU AI Act disclosure and retention-floor enforcement out of the box, with a full audit trail per agent — not bolted on after the fact.
Full observability
Every run traced end-to-end: tool calls, token usage, cost, and latency, with scheduling for agents that need to run on their own and per-agent budget guardrails so one agent can never blow through your whole spend.
How it works
From prompt to production, in four steps
Describe your agent
Chat with the builder about what the agent should do — no YAML, no boilerplate.
Review & configure
Pick a model, grant tools and connectors, set channels, and choose a compliance profile.
Deploy
One click provisions a live, isolated runtime for your agent.
Use it
Chat with it in the console, call it over the REST API, or put it on a schedule.
Ready to build your first agent?
Tell us about your use case and we'll set up your organisation, so your team can go from a plain-English description to a deployed agent in minutes.