Deployment

Run it on our soil, or on yours.

Free to add and pay only for the AI you use, or take the whole engine into your own Azure for a paid license. Both run the same spine and produce the same receipts. The harness and the infrastructure are your choice, and moving between them does not change what the workforce learned.

The two offers

One engine, deployable inside either boundary.

ZeroH GovernanceZeroH AssistantZeroH StudioAsk AliThe same four apps, the same governed engine. Only the boundary around it changes.
Shared fleet · todayFree to add · pay only for the AI you use
Run on our soil

Add ZeroH from the marketplace and your people are working the same day. The engine runs on our governed fleet, so you never touch infrastructure.

ZeroH's Azure · Qatari soil
agentsintelligenceself-improves
ZeroH Enginemask · route · approve · sign
Immutable audit trailwe hold it · hash-chained
Your tenant, where your data never mixes with another customer’s
Nothing to deployLive in a dayWe run it
Free to add. You pay only for the AI you use, metered through the marketplace.
Microsoft Azure MarketplaceStart on our fleet
Your tenant · when you’re readyPaid license
Run on your soil

The same engine, dropped whole into your own Azure subscription. Nothing leaves your boundary, and every key belongs to you.

Your Azure subscription
agentsintelligenceself-improves
ZeroH Enginemask · route · approve · sign
Immutable audit trailyou hold it · hash-chained
Your Key Vault · your storage account · your network
Your subscriptionYour keysFull control
A paid license. We service the managed app; you hold everything inside it.
Microsoft Azure MarketplaceDeploy to your Azure
Start on our soil, move to yours whenever. Same engine, same receipts, same console, nothing to rebuild and nothing to migrate but the boundary.
One stack, governed

The whole workforce stack. One governed system.

Teams bolt together a stack of separate products to run agents, and still cannot prove what happened. ZeroH ships the whole stack as one governed system, where the proof is a byproduct.

What teams assemble today
11 contracts11 billsno shared trace

And at the end of it, still no way to prove what happened.

One governed wall
And the four nobody sells you
Policies and controls, enforced on every turnEnforced
Masked before any model sees itMasked
A human yes where it mattersApproved
Sealed on the signed ledgerProven
one billone traceproof as a byproduct
Questions we hear

Asked before every pilot.

What do we control when ZeroH runs in our own tenant?

Everything inside the boundary. The whole engine deploys into a managed resource group in your Azure subscription: your Key Vault, your storage, your network and your model provider key. We service the deployment through just-in-time access you approve per request, and no one holds standing administrative rights on your resources.

Do we have to pick a boundary on day one?

No. Start on our fleet in a day with nothing to deploy, then move to your own subscription when you are ready. Same engine, same receipts, same console; nothing to rebuild but the boundary.

Whose AI models does it use?

Yours to choose. Connect your own model provider key or provision Azure OpenAI in your subscription; prompts are masked on your infrastructure before they reach any model, and ZeroH adds no token markup on what the provider charges.

Not sure which door? We will walk you through it.