The infrastructure layer that enterprises have been missing.
Built for the age of agentic AI — Toren.
Right now, AI agents are operating inside your organization. They're changing customer portfolios, reviewing contracts, issuing direct commands to internal systems. Yet when you ask who approved that decision, what policy governed it, or what you'd show an auditor if something went wrong — there's no answer.
It's not a matter of preparation. The tools to answer these questions simply don't exist yet.
Existing tools were made for those who build and debug agents. There are none for those who have to sign off on what agents decide.
What happened is logged. Why the agent made that decision — nobody knows. That gap is what breaks down in a real audit.
How much did AI cost? How much did it save? No tool can answer this. The CFO is still waiting.
The tools available today were built for developers who build and debug agents. Toren is built for the people who have to sign off on what those agents decide. The CIO facing an audit. The compliance officer answering to regulators. The CFO reporting AI ROI to the board. What they need isn't a trace log — it's approved records, enforced policies, and numbers they can stand behind.
Toren fills that gap. Not observability. Control.
Five capabilities the market doesn't have —
built into one control plane.
Before an agent acts, your organization's rules run first. Which models, which data, what budgets — policies defined as code, enforced on every execution. Block, escalate, or allow in under 5ms.
When an agent reaches a high-risk action, it stops. A human reviews and approves before execution resumes. Automation where it helps. Humans where it matters.
Other tools record what happened. Toren records why. Input data, applied policies, confidence score, approver — the full context of every execution, immutably captured.
How much did AI cost? How much did it save? Toren translates execution traces into the numbers your CFO is asking for — automatically, without a spreadsheet.
Design partners shape the product from day one — and are the first to run it in production. We're accepting a limited number of organizations for our founding cohort.