Multi-agent systems
Orchestrated agent fleets with high-fidelity opponent modeling. Each agent reasons about the others — anticipating moves rather than reacting to them.
Coordinated through shared state and explicit belief models.
Multi-agent systems·Adversarial simulation
ARTIFICIAL
Intelligence, orchestrated
We build multi-agent systems with high-fidelity opponent modeling — real-time deliberation that turns open-ended problems into defensible decisions.
Where agents deliberate & decideIlustrari — AI Agent SystemsMulti-agent orchestration at scale
Expertise
Three capabilities, composed into systems that hold up under pressure.
Deliberation & negotiation
Real-time deliberation and negotiation workflows where competing agents converge on positions and surface every trade-off in the open.
Every outcome auditable, every step traceable.
Coaching & decision support
Adaptive agent coaching that learns from each interaction, sharpening recommendations as the problem space shifts beneath it.
Human-in-the-loop by design.
Technology
A deliberately small, well-understood stack.
Fewer moving parts, fewer surprises. Everything here earns its place.
Anthropic Claude
Reasoning core
TypeScript
End to end
Next.js
App layer
Supabase
Data & auth
React
Interface
Building what expensive consultants do.
If you have a decision that can't afford to be wrong, we should talk.
Get in touch