Users set capital and risk limits. Warren researches, executes, monitors and manages the portfolio inside those limits, against live venues, around the clock. Quant strategists can publish strategies that users allocate to.
Warren recommends and the user approves each action.
Warren executes inside the guardrails the user set.
Trading is always open, multi venue and unforgiving of slow or unreliable decisions. A runtime that drops work, an identity model that leaks or a trace you cannot read is found out in days. That is why we built there first. Every trade Warren makes passes the same guardrails, approvals and traces your product would use.
Long running workers for finance operations that monitor systems, reconcile records and escalate to a person when policy says they must. Same runtime, different tools and policy.
A research partnership using the Kodeus runtime for embodied agent work. The same identity, policy and trace model applied to agents that act in the physical world.
These are not customers. They are the shapes we see most often when teams describe what they want to ship, and each one breaks without per-user isolation, a policy that can refuse, or a record that holds up later. Every card names the moment the runtime earns its place.
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You are building an agent into a product your users will pay for. You need per-user isolation, approvals that scale with trust, and a runtime that does not become your second product.
Start with the SDK →Agents are appearing across the company on different frameworks. You need one place they run, one policy engine, one trace format, and a deployment story your security team will sign.
Start with the Platform page →You need to know what the agent did, who allowed it, and that it could not do the things it was told not to. You need the record, not a summary.
Start with the Enterprise page →We will walk through the tools it needs, the identity model, the governance boundary and how it gets metered.
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