AI that keepsworking—andshows its work.
Start with one reliable path to the models your product needs. Keep that same path as your team tunes real workflows, controls cost, and turns agents into product capabilities it can test and release.
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Start with the problem in front of you. Keep the same foundation as the product grows.
Access is in private preview for existing accounts. New registrations are temporarily closed. Control and Workspace remain in the Founders Program for workflow improvement and agent delivery.

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Give your product one reliable path to the models it needs
Keep familiar OpenAI and Anthropic calling patterns while TitaRouter handles provider choice, metering, and route changes behind the product.
Change the base URL, not your architecture
Route across providers before the first byte
Track usage, cost, project, and key
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Make every repeated workflow easier to improve
Keep prompt versions, evals, cache behavior, quality rules, and budgets with the workflow they support.
Version prompts instead of editing in place
Compare changes against real examples
Keep spend inside each project boundary


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Turn local agent experiments into product capabilities your team can ship
Bring agent definitions, tools, skills, multi-agent runs, traces, and release controls onto the same foundation that already serves the models.
Agent workspace and local relay
Tool policy, approvals, and trace
Canary, rollback, and kill switch
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Keep every tenant and environment inside its own boundary
Projects, virtual keys, budgets, provider credentials, and audit records stay scoped and explainable.
Version prompts instead of editing in place
Tenant and project isolation
Key-level model scopes and budgets


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What keeps an AI product dependable after the first demo.
Retry, circuit breaking, and failover before the first byte.
Route, provider, project, key, usage, and cost on one request record.
Prompt versions and lightweight evals for repeated business workflows.
Connect MCP tools with tool-level policy, approvals, and audit.

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A useful result is good. A result your team can explain is ready to ship.


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Pay for model usage. Add software when the work needs more control.
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- Eval datasets and quality gates
- Multi-model playground
- Projects, keys, and budget controls
- Exact cache and prefix affinity
- MCP proxy and audit events
- Request-level cost and failover records
- Founders Program rollout access
- Agent workspace and versioned agents
- Local relay for existing agents
- Multi-agent runs and connected traces
- Tool and skill manifests with policy
- Eval, canary, rollback, and kill switch
- Proof of Execution for every run
- Founders Program design access

“A provider outage should become a routing event—not a customer incident.”
“A model change should be measured against real work—not accepted on feel.”
“An agent run should leave enough evidence to explain, compare, and release it safely.”

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Accounts, model access, and the Founders Program.

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Build AI features that keep working—and show their work.
For workflow controls and agent delivery, apply to the Control or Workspace Founders Program. We will agree the capability scope and rollout stages around one real workflow.


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