Introducing Sycamore

Today, we’re introducing Sycamore — a new kind of operating system for the enterprise, built from the ground up for autonomous AI agents.

Every enterprise wants AI agents. The models are good enough. The use cases are clear. But almost none can deploy them safely — because the infrastructure to trust, orchestrate, and learn from agents doesn’t exist. We built it.

Why now

The gap between what AI agents can do and what enterprises will let them do is growing. Models are advancing faster than the systems around them. Organizations need agents that earn trust through demonstrated reliability, not agents that start with full autonomy and hope for the best.

What we’re building

Sycamore is the layer between your organization and the agents that work for it. Users describe what they need in natural language, and Sycamore generates production-ready systems — applications, integrations, and agents — tailored to the enterprise environment.

Every agent starts by observing. It graduates to recommending, then to acting autonomously, only after proving its judgment. Every operation is isolated, auditable, and governed from the start. And every deployment gets smarter over time, capturing institutional knowledge that compounds across projects.

What’s next

We’ve raised $65 million to make this real. We’re a small team with a big problem, and we’re hiring engineers who want to build systems that don’t have answers yet.

If you believe enterprises deserve better than bolted-on guardrails and prompt engineering, we’d love to talk.