Sycamore Labs

Sycamore Labs is a Palo Alto-based startup developing what it terms a "trusted agent operating system" designed for enterprises. The company's core focus is on providing the necessary infrastructure to allow businesses to safely build, deploy, manage, and observe large fleets of AI agents at scale within a secure and governed environment. The platform aims to solve the challenge of "operational gravity," where AI agents that perform well in isolated demos are too risky to deploy widely without centralized oversight for policy compliance and security. Founded in the fall of 2025 by Sri Viswanath, the former Chief Technology Officer of Atlassian, Sycamore emerged from his extensive experience building large-scale enterprise platforms at companies including Sun Microsystems, VMware, and Groupon. Viswanath's background, which also includes a role as a full-time investor at Coatue, provided him with deep insights into the infrastructural gaps hindering enterprise AI adoption. In a significant show of investor confidence, Sycamore announced a $65 million seed funding round on March 30, 2026, led by venture capital heavyweights Coatue and Lightspeed Venture Partners. The round also attracted a notable list of angel investors from across the tech industry. Sycamore's system is built on the principle that AI agents must earn trust over time. It employs a tiered system that grants agents progressively more autonomy as they demonstrate reliability. Initially, a new agent is heavily monitored, and its freedom is expanded as it proves it can operate as intended. The platform is designed to enable human workers to direct these agents using natural language, simplifying the process of delegating tasks. By building these trust architectures and multi-agent coordination systems, Sycamore intends to prevent the digital chaos that could result from multiple autonomous agents operating without coordination. The company's business model centers on providing this foundational platform, which could unlock a significant wave of enterprise automation by enabling AI agents to integrate with legacy systems and function without constant human supervision. Keywords: enterprise AI, agentic operating system, AI governance, trusted AI, autonomous agents, AI infrastructure, multi-agent systems, enterprise automation, AI deployment, AI observability, AI security, trust architecture, Sri Viswanath, Coatue, Lightspeed Venture Partners