Build apps where people and AI agents work together.
The internet was built for users and applications. The next generation needs a runtime where people, apps and autonomous AI agents work together safely — under explicit permissions.
Your app is a static page. Witbitz provides the identity, permissions, agents, storage, payments and secure execution underneath — with a data boundary your users can inspect instead of taking on trust.
no backend of its own
connection▶
storage · payments · execution
✕ no other servers, trackers, or backends
Two apps we built on it
Applications that run on the same runtime a builder would use. Spaces shows the async room; Call shows the real-time participant model.
Every AI app needs a room
Even if it is only a place where a person can talk to the app.
A room on its own is a chat product. A room connected to your app's tools, data, and permissions becomes a new interface: people use the app by asking for what they want.
Your app's functions become the agent's tools. Declare them and the gateway calls them — metered, with egress governed. Someone in the room types "set the pipeline stages like this"; the agent proposes the call; an authorized human approves or edits it; then your API runs. The agent never holds the authority, and you never hand over credentials.
It goes the other way too. Your app's own interface renders inside the room as a live widget — and its state is shared across everyone in the room, not private to one person's chat window.
The agent arrives with tools of its own and behaves like a participant rather than an endpoint — what that means →
Topologies
A room is not one shape. The same primitive covers a private conversation with your app and a governed negotiation between two companies.
That last one is the reason the room is a protocol and not a chat widget: neither side has to join the other's system, and neither can read the other's room.
What the runtime gives you
Your app is a static page. Witbitz is everything underneath it.
To be precise, this is not "no backend." Witbitz is the backend. You trade an arbitrary, app-specific backend for a single, constrained, inspectable one — which is what makes the next section possible.
Tell your users something other AI apps can't
You can verify the boundary your users are asked to trust.
Every AI app says it respects privacy. Witbitz publishes technical evidence for what the app can send, what the platform stores, and which render build is deployed.
Build AI products with encrypted storage, permissioned agents, auditable execution, and protections your users can independently verify.
Run it wherever you need to
Hosted. Nothing to operate. The privacy claim doesn't rest on our word — it's checkable from outside.
Or in your own boundary. The whole runtime ships as a container: your cloud tenant, your model endpoint, your object store, your identity provider.
The platform is a tenant-keyed HTTP API — Spaces, members, capabilities, agents, collections, artifacts. Your page talks only to it.