Governed intelligence · durable missions · verified outcomes
FROM INTELLIGENCETO VERIFIED OUTCOMES.
OneAI Labs connects models, governed agents, durable missions, real-world execution and independent verification in one operating platform — so every consequential result has an owner, a record and a way back.
Where do you start
Four ways in, depending on what you arrived with.
I want AI inside my own product
Model access, routing, cost guards and usage tracking behind one commercial API. Self-serve, with keys you can create now.
Open OneAI CoreI work in construction or media
A product built for the industry already, rather than a platform you have to assemble into one.
See the industriesI need an AI agent for my operations
Something that can act, not just answer — with permission, an audit record and a way to undo it.
Describe your scenarioI want a model trained on my data
We assess whether training will actually beat what you run today, and show you the evaluation that decides.
Assess your use caseThe governed operating loop
A goal becomes durable work. A result becomes trusted experience.
The platform is an operating loop, not a row of unrelated products. TheOne governs intent, OneMission makes the work durable, OneClaw executes approved actions, independent verification checks the result, and OneField preserves the shared reality.
Explore the complete architectureOneAI Core
Model access, routing, usage and cost control under every intelligence call.
OneForge
Evaluates, promotes, canaries and rolls back the capabilities used by the loop.
The loop closes only after evidence
Verified outcomes become context for TheOne and evidence for OneForge. Failed, refused and rolled-back work remains visible too; learning from production must not mean rewriting history.
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.
Applied intelligence
One stack. Then one industry that proves it.
OneAI Construction is the platform under load — BIM, schedules, documents, field evidence and agents brought into one living project state. It runs as its own brand on its own domain, on the same governed infrastructure described above.
Figures shown are what the running product reports on its demo project, calibration status included.
Construction does not need another dashboard.It needs a system that understands the project.
Construction OS
The operating system for construction intelligence.
Document intelligence, project knowledge, RFI / NCR / inspection workflows, construction agents, governance and audit.
Construction Twin
A living AI representation of the project.
IFC / BIM ingestion, 4D schedule, twin entities, an evidence graph, risk intelligence and forecast simulation.
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.
Route intelligence through Core, govern it with TheOne, persist the work in OneMission, execute through OneClaw and keep verified outcomes in OneField.