The control layer for AI agents navigating complex markets.
Deploy, monitor, govern, and improve business-critical AI agents — with policy enforcement, evaluation, and a system of record built into the core of your infrastructure, not bolted on.
Your agents watch the markets. We watch your agents.
We provide both — the agents and the governance infrastructure that makes them reliable. Embedded deep in your stack, not installed as a plugin: policy, evaluation, observability, and a record of every decision.
Everything agents need to be trusted in production.
Most agent projects stall between demo and deployment. The missing piece is not model capability — it is control: policy, evaluation, observability, and accountability.
Governed autonomy
Define what agents can do, when they need approval, and how actions are reviewed. Policy enforcement runs inside the agent loop — not around it.Evaluation-first deployment
Test agent behavior before production and keep measuring it after launch. Scenario suites, regression gates, and quality thresholds at every stage.Full-run observability
Trace decisions, tools, prompts, outputs, costs, failures, and human interventions across every agent run — down to the single tool call.A system of record for agents
Not a log — a system of record. Every decision, order, and approval your agents make is captured in a durable, queryable store. Attribution, replay, and audit come built in.Every action checked, traced, and recorded.
The agent harness around every agent.
An agent reasons, acts on the market through a policy gate, and each observation closes the loop. We are the harness around it — observability tracing every action live, on an immutable system of record beneath. Fully autonomous workflows run inside sandboxed limits; human-in-the-loop workflows hold judgment calls for approval.
EigenTrader OS: the control layer, applied to trading.
Our flagship vertical product — both the control layer and the system of record for trading operations. Every order that reaches the broker is captured, attributed to its strategy, and replayable. It lives on its own site; explore it there.
We embed. We don't bolt on.
Our engineers deploy into your infrastructure and solve the market problem at its core — pilot first, instrumented from day one, measured against real baselines.
Embed with your team
Our engineers deploy into your infrastructure — your data, your brokers, your APIs, your constraints — and map one high-value workflow at its core.Instrument the loop
We wire in policy gates, traces, and evaluation suites around your agents, integrated with your existing stack.Operate in production
Agents go live with monitoring, approval flows, and audit trails — and keep improving against measured baselines.Deploy agents you can actually trust.
Start with a focused pilot around one high-value workflow. We help map the workflow, instrument the agent loop, define policies, and measure production readiness.