ONE PATH, FROM ACCESS TO AGENTS

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.

Private preview · Existing accounts can log in. New registrations are temporarily closed. Control and Workspace remain in the Founders Program. Availability & privacy.
Access · One reliable path to the models you need
Control · Quality and cost controls for every workflow
Workspace · Agents your team can test, govern, and ship
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THREE PLANS, ONE PRODUCT PATH

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.

A product team monitoring a customer experience that continues through a provider change.

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

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

A product team comparing several AI-generated outcomes before choosing what to release.
A product team bringing parallel AI-assisted workstreams together for review.

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

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

A product team bringing parallel AI-assisted workstreams together for review.
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PRODUCT CAPABILITIES

What keeps an AI product dependable after the first demo.

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Model Access
ACCESS

OpenAI-compatible and Anthropic Messages through one endpoint.

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Route Resilience
ACCESS

Retry, circuit breaking, and failover before the first byte.

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Request Receipts
ACCESS

Route, provider, project, key, usage, and cost on one request record.

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Outcome Control
CONTROL

Prompt versions and lightweight evals for repeated business workflows.

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Tool Governance
CONTROL

Connect MCP tools with tool-level policy, approvals, and audit.

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Agent Delivery
WORKSPACE

Version agents, follow every run, and release with canary and rollback.

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PROOF OF EXECUTION

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

A product team bringing parallel AI-assisted workstreams together for review.
One run. One connected execution record.
WHAT RAN
Model, provider, route, prompt, and tool versions.
WHAT IT COST
Usage, cache, project, and key attribution.
WHY IT SHIPPED
Eval result, policy decision, and release context.
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PLANS

Pay for model usage. Add software when the work needs more control.

ACCESS
$0
/month
No software fee
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Unified API
included
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OpenAI + Anthropic
included
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Request receipts
included
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Routing + failover
included
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Projects + API keys
included
Workflow prompt and eval controls
Agent workspace and release controls
Priority onboarding and solution design
VS
Prompt versions and rollback labels
  • 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
JOIN FOUNDERS PROGRAM
Access uses prepaid model Credits. Control and Workspace remain in the Founders Program.
Everything in Control
  • 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
JOIN FOUNDERS PROGRAM
Access uses prepaid model Credits. Control and Workspace remain in the Founders Program.
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ACCESS

“A provider outage should become a routing event—not a customer incident.”

RELIABILITY BY DEFAULT
ACCESS · retry, failover, request receipts
CONTROL

“A model change should be measured against real work—not accepted on feel.”

EVIDENCE BEFORE RELEASE
CONTROL · prompt versions, evals, quality gates
WORKSPACE

“An agent run should leave enough evidence to explain, compare, and release it safely.”

PROOF OF EXECUTION
WORKSPACE · trace, policy, release
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FAQ

Accounts, model access, and the Founders Program.

How do I get started?

Access is currently in private preview. Existing account holders can log in to review their models, prices, and wallet; new registrations are temporarily closed. Control and Workspace remain application-based through the Founders Program, with capabilities opened in agreed stages.

Which models and protocols can I connect?

OpenAI-compatible endpoints and Anthropic Messages are supported, including OpenAI-compatible providers such as OpenRouter, Groq, Together, Fireworks, and vLLM.

When does failover happen?

TitaRouter can retry or move to the next healthy candidate before the upstream sends its first response byte. It does not switch providers after streaming has begun.

What does Proof of Execution mean here?

It is the evidence attached to an execution: what model and route ran, what it cost, which versions and policies applied, and what result or trace followed. Access starts with request receipts; Control and Workspace extend that record through the Founders Program.

Are prompts, evals, and MCP ready?

Control brings prompt versions, evals, cache behavior, quality gates, and MCP controls around each business workflow. Founding teams receive these capabilities progressively as the workflow matures.

What comes with Agent Workspace?

Workspace brings agent definitions, local relay, multi-agent runs, traces, tool and skill policy, staged release, rollback, and a kill switch onto the same foundation as Access and Control. Founding teams receive it in agreed stages around a real use case.

How are tenants, keys, and budgets separated?

Every request is authenticated inside a tenant. Projects and virtual keys can carry their own model scope and budget, while usage and cost remain attributable to the request.

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FOUNDERS PROGRAM

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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