The trusted agent operating system for the enterprise.

Build, deploy, and orchestrate autonomous AI agents with enterprise-grade security, human oversight, and organizational intelligence that compounds over time.

Supported By

Every enterprise tool was built for a world where humans do the work.

The future is AI agents doing the work. We need a system to trust them at enterprise scale.

Sycamore is that system. Govern every agent action, orchestrate across teams, and learn from every outcome.

Sycamore is where software builds itself.

After twenty years of building and scaling platforms at Sun, VMware, Groupon, and Atlassian, I’ve learned that AI agents that can reason and act are the next major platform shift in enterprise computing.

That’s why I started Sycamore: to build the operating system for the AI-native enterprise, where software finally builds itself.

Why I started Sycamore

Sri Viswanath, Founder & CEO

The Sycamore Operating System

PROGRESSIVE TRUST SYSTEM

Agents earn autonomy through demonstrated reliability, progressing from observation to action. Every operation is isolated, auditable, and governed from the start.

ADAPTIVE SYSTEM GENERATION

Users describe intent in natural language, and Sycamore generates production-ready systems, including applications, integrations, and agents, tailored to the enterprise environment.

CONTINUOUS IMPROVEMENT

Agents learn from outcomes, improving performance over time while capturing institutional knowledge across deployments.

COLLECTIVE INTELLIGENCE

Sycamore surfaces organizational knowledge, connecting data, workflows, and expertise across teams to enable coordinated, multi-agent execution.

01/04

Trust by design.

Enterprises need a trust and governance layer before autonomy can scale. Sycamore provides it with security, compliance, and auditability built in.

Secure

Isolated and governed from the start

Compliant

Roles, permissions, and control planes

Auditable

Every action logged and traceable

If you want to work on problems in AI that don’t have answers yet, join us.

See open roles

RESEARCH THAT SHIPS

We’re solving problems that don’t have answers yet: how agents earn trust, how they learn from outcomes, and how multiple agents coordinate without losing control. This is applied AI research at the frontier. Work that goes from paper to production.

ENTERPRISE REACH, STARTUP SPEED

You’ll work directly with Fortune 100 companies solving real problems at scale, but operate like a startup. Move fast, stay technical, build things that matter. No red tape, no committees, just impact at the intersection of cutting-edge AI and enterprise.

FOUNDING TEAM, OUTSIZED IMPACT

Everyone here owns something meaningful. No layers, no waiting for alignment. You ship, you learn, you shape the product. Our team includes researchers from Stanford and Cornell and engineers from Meta, Google, and Atlassian.

RESEARCH THAT SHIPS

ENTERPRISE REACH, STARTUP SPEED

FOUNDING TEAM, OUTSIZED IMPACT

# Sycamore ## The trusted agent operating system for the enterprise. Build, deploy, and orchestrate autonomous AI agents with enterprise-grade security, human oversight, and organizational intelligence that compounds over time. --- ## Mission Every enterprise tool was built for a world where humans do the work. The future is AI agents doing the work. We need a system to trust them at enterprise scale. Sycamore is that system. Govern every agent action, orchestrate across teams, and learn from every outcome. --- ## Sycamore is where software builds itself. After twenty years of building and scaling platforms at Sun, VMware, Groupon, and Atlassian, I’ve learned that AI agents that can reason and act are the next major platform shift in enterprise computing. That’s why I started Sycamore: to build the operating system for the AI-native enterprise, where software finally builds itself. Sri Viswanath, Founder & CEO Read more: /blog/company/building-the-ai-native-enterprise-os --- ## Agent OS ### 01. PROGRESSIVE TRUST SYSTEM Agents earn autonomy through demonstrated reliability, progressing from observation to action. Every operation is isolated, auditable, and governed from the start. ### 02. ADAPTIVE SYSTEM GENERATION Users describe intent in natural language, and Sycamore generates production-ready systems, including applications, integrations, and agents, tailored to the enterprise environment. ### 03. CONTINUOUS IMPROVEMENT Agents learn from outcomes, improving performance over time while capturing institutional knowledge across deployments. ### 04. COLLECTIVE INTELLIGENCE Sycamore surfaces organizational knowledge, connecting data, workflows, and expertise across teams to enable coordinated, multi-agent execution. --- ## Trust by design. Enterprises need a trust and governance layer before autonomy can scale. Sycamore provides it with security, compliance, and auditability built in. - **Secure**: Isolated and governed from the start - **Compliant**: Roles, permissions, and control planes - **Auditable**: Every action logged and traceable --- ## Labs We research the hard problems standing between today’s AI and tomorrow’s autonomous enterprise. Our work spans agent infrastructure, safety, and learning systems, building the foundations that make reliable autonomy possible. ### Multi-Agent Orchestration & Reliability Coordination protocols and fault-tolerance mechanisms for systems where multiple agents collaborate, delegate, and recover from failure, growing more reliable the more they’re used. ### Agent Safety & Security Agents that stay within bounds, resist adversarial inputs, and behave predictably, even in environments they weren’t explicitly designed for. ### Long-Horizon Memory & Context Maintaining coherent goals, recalling relevant history, and reasoning across extended interactions, not just the last few turns. ### Meta-Learning How agents learn to learn: acquiring new skills, adapting to novel environments, and continuously improving without retraining from scratch. ### Progressive Trust & Governance Frameworks for agents to earn autonomy through demonstrated reliability, with isolation, auditability, and governance built into every operation. ### Adaptive System Generation Generating production-ready applications, integrations, and agents from natural language intent, tailored to each organization’s environment. --- ## Careers If you want to work on problems in AI that don’t have answers yet, join us. ### RESEARCH THAT SHIPS We’re solving problems that don’t have answers yet: how agents earn trust, how they learn from outcomes, and how multiple agents coordinate without losing control. This is applied AI research at the frontier. Work that goes from paper to production. ### ENTERPRISE REACH, STARTUP SPEED You’ll work directly with Fortune 100 companies solving real problems at scale, but operate like a startup. Move fast, stay technical, build things that matter. No red tape, no committees, just impact at the intersection of cutting-edge AI and enterprise. ### FOUNDING TEAM, OUTSIZED IMPACT Everyone here owns something meaningful. No layers, no waiting for alignment. You ship, you learn, you shape the product. Our team includes researchers from Stanford and Cornell and engineers from Meta, Google, and Atlassian.