Sycamore Secures $65 Million to Build Trusted Operating System for Enterprise AI Agents

Former Atlassian CTO Sri Viswanath leads a $65 million round to solve the trust and governance gap in autonomous enterprise AI.

NewDecoded

Published Mar 30, 2026

Mar 30, 2026

3 min read

Image by Sycamore

Sycamore has announced a substantial $65 million seed funding round to develop a specialized operating system for autonomous enterprise AI. Co-led by Coatue and Lightspeed Venture Partners, the investment aims to provide the security and governance infrastructure required for large-scale AI deployment. This platform addresses the critical challenges of trust and operational control that currently prevent Fortune 500 companies from moving AI agents into production.

The company's platform provides a full-lifecycle environment where organizations can discover, build, and orchestrate AI agents. Unlike standard AI tools, Sycamore uses a trust by design model where agents earn autonomy through demonstrated reliability. This tiered approach allows businesses to move agents from observation modes to full action while maintaining complete audit trails and governance.

Founder Sri Viswanath brings a wealth of experience to the venture, having previously served as the CTO of Atlassian and Groupon. His background in scaling global enterprise platforms is supported by a team of researchers from Stanford and Cornell. The funding attracted notable angel investors from across the technology landscape, including leadership from Databricks, Intel, and OpenAI.

Looking ahead, Sycamore intends to use the capital to expand its engineering and applied AI divisions. A major focus of their research and development will be on trust architectures, memory systems, and coordination between multiple agents. These innovations are intended to help organizations capture and compound institutional knowledge over time, leading to systems that continuously improve. Industry projections for 2026 suggest a massive shift toward autonomous orchestration within enterprise applications. As companies transition from human-led execution to hybrid workflows, the need for a centralized trust layer becomes paramount. Sycamore is positioning itself as the foundational software that will enable this transition across the global corporate sector.

Decoded Take

Sycamore's entry into the market highlights the operational gravity currently holding back enterprise AI. While large language models can reason effectively, they cannot yet be trusted to navigate the complex compliance and security boundaries of a modern corporation. By building an operating system rather than just another agent, the company is creating the essential plumbing for the autonomous era. This move validates the industry shift toward orchestration, where the value lies not in the AI model itself but in the governance framework that allows it to work within the real world.