Building infrastructure for
collective intelligence

Researching how humans and AI agents coordinate, share context, and think together at scale.

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Research

Advancing collective intelligence

Solving foundational challenges in multi-agent coordination — how thousands of AI agents share context, maintain state, and collaborate with humans.

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Areas of Research

Multi-Agent Orchestration

Coordination architectures for scaling from one agent to thousands with shared state and permissions.

Context Assembly

Systems that construct, route, and share the right context across agents, tools, and teams.

Persistent Memory Architecture

Memory systems for cross-session, cross-agent knowledge that persists and evolves over time.

Agent Observability

Audit trails, reasoning traces, and monitoring for multi-agent systems operating at scale.

Symbiotic Intelligence

Frameworks for human-AI collaboration where agents augment rather than replace human judgment.

Adaptive Learning Systems

Neural architectures that adapt to collective workflows, improving shared performance across agents and teams.

Research Philosophy

AI was built for single-player. We're researching multi-player.

Today's agents are isolated, stateless, and uncoordinated. The hardest problems — scientific breakthroughs, complex engineering, coordinating large systems — require many minds.

We're building the research foundation for humans and AI to think together at scale.

Multi-Agent Systems

Shared Context

Human-AI Collaboration

3D neural pathway visualization representing AI knowledge mapping

About

We've studied how brilliant minds collaborate. Now we're encoding it into software.

We build AI systems for collective intelligence — not generic tools that treat every agent as isolated.

Our team merges MIT-trained researchers, award-winning designers, and engineers who've shipped at scale. We combine rigorous research with pragmatic product development, focusing on multi-agent architectures that coordinate across models, tools, and teams.

Research breakthroughs mean nothing without deployment. We publish openly, prototype rapidly, and ship systems designed for real-world complexity, not laboratory conditions.

Based in San Francisco, California