Flagship
Autonomous markets
Continuous strategy execution against live venues, inside user-defined capital and risk guardrails.
Runtime · Scheduling · Identity · Economics
Read the Warren case study
Use cases
What teams build on Kodeus
The same operating-core primitives apply across every category. Only the tools, policies and economics change.
Enterprise
Enterprise operations
Long-running workers that monitor systems, reconcile records and escalate to a human when policy says they must.
Governance · Tenancy · Observability · Approvals
Knowledge
Research & analysis
Persistent workers that watch sources, accumulate durable knowledge and produce grounded output.
Memory · Intelligence · Capability Registry
Customer
Customer operations
Support workers connected to real systems of record, with each end user's credentials and memory isolated.
Per-user identity · Memory · Communication
Commerce
Machine commerce
Applications that pay for what they consume and expose their own capabilities for payment, through the optional x402 module.
Economics · x402 module · Capability Registry
Regulated
Multi-party & regulated workflows
Work where accountability must survive a dispute. Decisions and approvals are anchored so a counterparty can verify them.
Verifiable Execution module · Audit · Policy
Some of these applications will be embedded inside existing products. Some will become new categories. Some will operate as specialized services consumed by other applications.
Built on Kodeus · First proof point
Warren
A private AI fund manager. Users set capital allocation and risk guardrails; Warren handles execution, monitoring and continuous portfolio management inside them.
The problem Warren solves
Retail traders react to market noise without a systematic process. Professional funds rely on structured research, disciplined execution and continuous risk management.
Warren closes that gap with institutional-grade intelligence and execution, inside boundaries the trader sets.
How Warren works
Demand side · Traders
Persona and risk profile drive recommendations, allocation, execution and monitoring.
Copilot
Warren recommends; the user approves each action.
Autopilot
Warren executes within user-defined guardrails.
Supply side · Creators
Quant strategists can build and publish strategies. As users allocate capital, Warren executes the selected strategies.
Publish
Validated strategies become discoverable capabilities.
Earn
Usage-based rewards follow as the agent economy layer ships.
What Warren proves
Trading is a deliberate proving ground: always open, multi-venue, and unforgiving of slow or unreliable decisions. What holds here transfers everywhere else.
| Warren dimension | What it proves |
|---|---|
| User control | Capital allocation, risk limits and permission boundaries remain user-defined. |
| System responsibility | Execution, monitoring, state management, tool coordination and continuous operation. |
| Creator opportunity | Strategists publish expertise; usage-based rewards follow as the agent economy layer ships. |
| Platform proof | A high-frequency workload validates the runtime, orchestration, tool integrations and trust boundaries. |
How the platform compounds
Warren demonstrates the application-level flywheel today: users bring demand and capital, strategists bring supply and expertise, and continuous execution produces measurable outcomes. Kodeus is designed to extend that dynamic across categories as the marketplace and agent economy layer ship.
01More applications, more entry points for users.
02More users, more execution and demand for specialized capabilities.
03More execution and better platform economics, which attracts builders.
04More builders expand the marketplace and deepen the operating layer.
05A richer operating layer lowers the cost of launching the next application.
Your use case
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.