Sycamore Labs
Pushing the frontier of enterprise AI.
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.
Work that goes from research to production.
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.
Work with us
We’re looking for researchers and engineers who want to work on problems in AI that don’t have answers yet. If that sounds like you, we’d love to talk.