AI Agent Use Cases for Enterprise, Business & Infrastructure – Kodeus
Use cases

What runs on Kodeus

The same runtime under every one of these. Only the tools, the policy and the economics change. Warren is the first, and it is ours.

running on the same runtimelive
identity · per userpolicy · 5 checkpointstrace · every steponly the tools change
Built on Kodeus, running with real money

Warren, an autonomous fund manager

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.

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{{ n1 }}paper volume
{{ n2 }}live volume
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{{ n4 }}exchanges and prediction markets
Mode 01

Copilot

Warren recommends and the user approves each action.

Mode 02

Autopilot

Warren executes inside the guardrails the user set.

What it proves

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.

warren · trace (figures redacted)live
14:31:02.118agent proposes place_order · BTC-PERP · size ▇▇▇
14:31:02.121checkpoint 3 · pre-tool · risk.max_position pass
14:31:02.122checkpoint 3 · pre-tool · risk.daily_loss_limit hold
14:31:02.123order not placed · user notified · copilot approval requested
14:31:02.124trace written · verdicts · latency 6ms · $0.0007
Enterprise finance

Nash

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.

Research partnership

Embodied agents with ARTPARK at IISc Bangalore

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.

What you could build

What you could build on it

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.

By industry
By function
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Where the runtime matters

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By team

Who inside a company picks this up

Product teams

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 →
Platform teams

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 →
Compliance and risk teams

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 →
Tell us yours

Tell us about your use case

We will walk through the tools it needs, the identity model, the governance boundary and how it gets metered.

Talk to an engineerStart building
FAQ

Questions about what runs here

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Private preview

Stop building the platform. Start shipping the product.

Tell us what you are building and we will get you into the preview as soon as we can support your use case properly.

Request early access →Book a call