From models to missions.One governed platform for real-world AI.
OneAI Labs brings model access, capability development, agent coordination and persistent memory into one operating platform — all of it governed, so AI moves from isolated experiments into products you can answer for.
Measured, not claimed
From OneForge's own control plane — every figure below is a query away.
Append-only. Nothing edited, nothing deleted.
A gate that never rejects is not a gate.
Reversibility proven, not promised.
The OneAI operating architecture
Five systems. One production loop.
Each system owns one responsibility and no more. Plans, approvals, proofs and results move between them through explicit contracts — so automation can grow without the control plane blurring.
Explore all platform systemsOneAI Core
Owns
Model access, routing, cost guards, usage
Hands off
A routed request with a recorded cost
OneForge
Owns
Versioned data, evaluated training, approved releases
Hands off
A capability cleared for production
TheOne
Owns
Planning, coordination, task decomposition
Hands off
A plan with named owners
OneClaw
Owns
Integration and execution of approved actions
Hands off
A result and its side effects
OneField
Owns
Memory, contribution records, evidence
Hands off
Evidence for the next release
The loop closes here
Production outcomes return to OneForge as evidence. The next release is decided by what actually happened, not by what was expected to happen.
Why the platform exists
The AI stack is fragmented. The business outcome should not be.
Enterprises are forced to assemble gateways, training tools, agent frameworks, memory stores and execution layers. OneAI Labs unifies these responsibilities without collapsing their governance boundaries.
Model access is not a product
Commercial AI needs keys, customers, plan limits, usage visibility and billing-ready operations.
Provider choice creates complexity
Teams need routing policy and provider:model control without rewriting every product integration.
Loose prompts do not scale
Repeatable products need structured task contracts, predictable inputs and measurable outputs.
Costs need guardrails
AI products need maxCostUsd, routing modes, plan gates and monthly cost protection.
Answers are only the first step
Agent products must move from intelligence to interface to execution, not stop at text.
Small teams need a platform
Founders should ship AI products, not rebuild gateway, policy, usage and console layers.
OneForge
Build intelligence. Keep humans in control.
OneForge is the governance layer of the OneAI stack — one operating surface for the whole AI capability lifecycle, from versioned data and evaluated training to reviewable releases, production traffic and sandboxed engineering.
Reproducible
Every artifact has lineage.
Governed
Every release has an approver.
Observable
Every run leaves evidence.
Governed promotion
Dual-principal approval
Versioned data
Evaluated training
Reviewable release
Production traffic
liveA promotion always requires a second principal with separate credentials. Tokens are held in memory only and cleared on reload.
OneAI Core
Commercial Control Plane
OneAI Core
Operate AI products through one commercial control layer.
OneAI Core is the commercial layer above every model, task, customer and request. It lets teams route models, package structured intelligence, enforce policy, track usage and operate AI as a SaaS product.
OpenAI-compatible gateway
Use familiar chat completion calls while OneAI handles provider routing and product visibility.
Task Intelligence API
Package repeatable business workflows as typed task contracts with structured JSON outputs.
API key and customer control
Issue keys, scope access, separate environments and connect usage back to customers.
Usage, cost and latency tracking
Record provider, model, tokens, estimated cost, latency, requestId and error state.
Routing policy and cost guards
Apply cheap, balanced, fast, auto, premium or explicit provider:model behavior with maxCostUsd.
Billing-ready operations
Run AI like a SaaS product with plans, limits, commercial visibility and operator workflows.
Developers
Two APIs. One product-grade AI system.
Use the gateway for familiar model access. Use Task Intelligence when your product needs stable business outputs instead of loose prompt responses.
/v1/generate
/v1/chat/completions
structured task api
curl https://api.oneai.network/v1/generate \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: launch-plan-001" \
-d '{
"type": "business_strategy",
"input": {
"goal": "Launch a paid AI feature in 30 days",
"audience": "SaaS founders and product teams"
},
"options": {
"llm": {
"mode": "balanced",
"maxCostUsd": 0.03
}
}
}'model gateway
curl https://api.oneai.network/v1/chat/completions \
-H "content-type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "openai:gpt-5.2",
"messages": [
{
"role": "user",
"content": "Turn this idea into a commercial AI product plan."
}
],
"max_completion_tokens": 300
}'Trust layer
Built like API infrastructure, not a toy demo.
OneAI Core is designed around production concerns: key hygiene, scoped access, cost control, request observability, provider policy and operator review.
Hashed API keys
Keep secrets server-side, create separate keys per environment and revoke leaked keys quickly.
Usage and cost visibility
Track provider, model, tokens, estimated cost, latency and requestId for support and operations.
Provider policy
Use routing modes, allowlists, fallbacks and maxCostUsd to keep production calls controlled.
Execution boundary
OneAI returns plans, structured decisions and coordination outputs while execution stays in product workflows.
Operational recommendation
Use idempotency keys, monitor usage daily and health-check new providers before exposing them to customers.
Your AI should not stop at a demo.
Operate it with OneAI Core. Evolve it with OneForge. Orchestrate it with TheOne. Bring it into the real world with the OneAI Labs capability stack.