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Trajectory List
Explore roles at AI companies on breakout trajectories. Updated daily.

Sycamore

Sycamore (Sycamore Labs) is building the governance and control layer that lets large enterprises safely deploy autonomous AI agents at scale. The core problem it solves is "operational gravity": AI agents that work in demos fail to reach production because companies lack a centralized system to enforce policies, security boundaries, and auditability across many agents at once. Sycamore's platform covers the full agent lifecycle — discover, build, deploy, observe, and evolve — inside a governed, security-enforced environment. Agents start under heavy oversight and earn greater autonomy as they prove reliable (progressive trust). Workers direct agents in plain English; the platform generates the apps and integrations needed to execute. Agents accumulate institutional knowledge as they operate, creating a compounding data flywheel. Early customers are Fortune 500 companies across retail, financial services, insurance, and semiconductor/infrastructure. The company was founded in fall 2025 by Sri Viswanath, former CTO of Atlassian and ex-partner at Coatue.

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