Team
The people building Prefactor
We give platform, ML, and engineering teams the means to measure how every agent performs in production — and make it better — with the runtime controls to enforce it.
Every enterprise wants AI agents. Security teams want to say yes. But right now, there's no way to see what agents are doing, measure whether they're doing it well and improve them, or prove compliance when the auditor asks.
Prefactor operates at the agent runtime layer. Lightweight SDKs. Full observability. Enforceable policy. No proxies, no network-level hacks — just clean integration that ships with your agents.
We built Prefactor so that every stakeholder — security, compliance, product, engineering — can share a single source of truth for what agents are doing and how well they perform, and move forward together.
The agent landscape is fragmented. Claude, Copilot, LangChain, N8N, custom builds — every team picks their own stack. Nobody has the full picture. CISOs are dealing with shadow agents the same way they dealt with shadow IT and shadow cloud before it.
Meanwhile, governance processes designed for traditional software take nine to twelve months to approve an agent. By that point, the model is three generations old and the business has moved on. We founded Prefactor because the industry needed a single way to observe, evaluate and improve agents in production — framework-agnostic, with enforcement at the agent runtime layer.
You can't secure what you can't see. Visibility is the foundation — before a single policy, know what's running, who owns it, and what it's doing.
Controls at the runtime layer. Not guardrails agents can reason around. Policies that hold whether the agent cooperates or not.
One plane for Claude, Copilot, LangChain, N8N, and whatever ships next. We don't pick winners — we observe, evaluate and improve them all.
The goal is production, not permanent POC. We compress approval timelines from months to days by giving every stakeholder what they need.
We're building the agent-quality layer (observe, evaluate, improve) the ecosystem is missing. If you care about infrastructure, security, and shipping things that matter — we want to talk.
Prefactor helps teams observe, evaluate, and improve their AI agents in production — across every framework and provider.
