Sycamore is an enterprise artificial intelligence software company founded in 2025 and headquartered in Palo Alto, California. It develops a platform for building, deploying, managing, and governing autonomous AI agents and business applications. Its Sycamore Build product allows employees to describe business processes in natural language and create applications, integrations, and AI agents through planning, testing, and deployment workflows. Sycamore Govern provides enterprise controls for managing agent permissions, enforcing runtime policies, monitoring activities, and maintaining audit records. The platform addresses challenges involving enterprise AI adoption, workflow automation, security, reliability, and governance. Sycamore works with Fortune 500 enterprises on AI deployments. Its engineering and research activities include multi-agent orchestration, agent safety, memory systems, and continuous improvement.
Sycamore offers opportunities to develop enterprise AI infrastructure at an early-stage company with $65 million in seed funding from investors including Coatue and Lightspeed Venture Partners. Founded by former Atlassian CTO Sri Viswanath, the company works with Fortune 500 enterprises on autonomous AI applications. Engineers can work on multi-agent orchestration, AI safety, agent memory, distributed systems, security, and governance. Its publicly advertised engineering environment includes Python, TypeScript, React, FastAPI, PostgreSQL, Kubernetes, and MCP-based integrations. Sycamore recruits engineers in Palo Alto and Bengaluru, with openings across core AI, infrastructure, security, and product engineering. Its careers page highlights technical ownership, competitive compensation, equity, and professional growth. As an early-stage company, it also involves startup uncertainty and evolving responsibilities.
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Sri Viswanath is the founder and CEO of Sycamore. He previously served as the first CTO of Atlassian, CTO of Groupon, VP of R&D at VMware, and SVP of Engineering at Ning. He also worked at Sun Microsystems and was an investor at Coatue. He holds a bachelor's degree from Bangalore University, an MS in Computer Science from Clemson University, and an MS in Management from Stanford University. He founded Sycamore to develop infrastructure for enterprise AI agents.
Anand Chowdhary leads product development at Sycamore. He previously co-founded FirstQuadrant, a Y Combinator-backed AI sales platform that was subsequently acquired. He also co-founded Oswald Labs and Pabio. He studied Creative Technology at the University of Twente and has received recognition through the GitHub Stars program and Forbes 30 Under 30 Asia. His experience includes product engineering, artificial intelligence, design, and entrepreneurship.
Ashudeep Singh is a founding technical team member at Sycamore, working on trustworthy enterprise AI systems. Previously, he worked at Microsoft AI and Pinterest on machine learning, search, recommendation systems, and responsible AI. He earned a PhD in Computer Science from Cornell University. His research includes fairness in machine learning, reinforcement learning, and ranking systems.
Sycamore
Sycamore announced the general availability of Sycamore Build following its September early preview. The product enables employees to create AI agents and applications by describing business requirements, providing organizational context, reviewing generated plans, testing software, and deploying applications. Users can subsequently modify applications as business processes change.
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Sycamore introduced an early preview of its AI application-building platform. The product allows users to describe business problems in natural language and collaborate with AI to plan, build, test, and refine applications and agents. The preview focused on enabling employees with business knowledge to participate directly in software creation.
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Sycamore announced a $65 million seed funding round led by Coatue and Lightspeed Venture Partners, with participation from Abstract Ventures, Dell Technologies Capital, 8VC, Fellows Fund, and E14 Fund. The investment supports engineering recruitment, applied AI research, enterprise deployments, and development of technologies for agent security, memory, and multi-agent coordination.
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