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The backend for AI coding agents

Your AI builds the app.
Zeple gives it a backend.

Zeple is a backend-as-a-service for AI coding agents and the apps they create—with authentication, managed Postgres, file storage, and a secure AI API proxy, without writing server-side code.

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  • Designed for AI coding agents
  • No service-side code to start
  • Production boundaries built in
PROJECT / ORBIT-IOS PRODUCTION
BACKEND STATUS Ready for requests
AI
CODING AGENT CONNECTEDBackend context ready
4 services mapped
ID
Accounts & authUsers, sessions, teams
READY
DB
Postgres dataManaged, isolated, ready
READY
FS
File storagePrivate files, simple access
READY
AI
AI proxyYour keys stay server-side
READY
API ENDPOINThttps://orbit.api.zeple.com

Built for the agent. Ready for the app.

Your coding agent should not stop at the interface. Give it a backend made for the app it is building.

One platform. Two moments.

For the agent while it builds.
For the app after it ships.

01BUILD TIME

Your coding agent gets backend building blocks it can understand.

Instead of generating and maintaining a new server, the agent connects your models and product flows to Zeple's documented services.

  • Project configuration
  • Client SDK integration
  • Models and permissions
02RUNTIME

Your finished app gets a secure backend that is already operating.

Users authenticate, data stays isolated, files remain protected, and AI requests keep provider secrets on the server.

  • Authenticated requests
  • Postgres and file storage
  • Secure AI proxy

Agent-ready by design

The backend capabilities an AI-built app actually needs.

Zeple gives the coding agent a focused platform instead of an open-ended infrastructure project. AI-built mobile apps, web apps, and SaaS products share one project context and one consistent security model.

01Identity

Give the agent a complete account system.

Your coding agent can add sign-up, sign-in, sessions, and organization membership without inventing an auth service. Zeple establishes trusted identity before the app touches protected data.

02Data

Turn app models into real Postgres data.

The agent connects your app models to a managed PostgreSQL backend through the Zeple SDK. Zeple enforces project and organization boundaries behind every operation.

03Files

Add files without building file infrastructure.

Your agent wires uploads and downloads through authenticated, project-scoped APIs. The finished app never receives storage credentials or needs a custom file service.

04AI access

Let the agent add AI—not leak its keys.

Store your own provider keys in Zeple, then let the coding agent build against a secure proxy. Keys remain encrypted on the server instead of becoming extractable app secrets.

Secrets belong on the server

Use your AI keys.
Never expose them.

Your coding agent can add AI features without writing provider secrets into generated client code. The app sends an authenticated request to Zeple; Zeple validates the user, applies project policy, and calls the provider with the key stored on the server.

  • ✓ Provider keys encrypted at rest
  • ✓ No API key in agent-generated client code
  • ✓ Project-scoped access and usage controls
YOUR APPAuthenticated requestBearer ••••••••
01IDENTITY VERIFIED
SECURE BOUNDARYZ Zeple proxykey: server-side
02SCOPED REQUEST
AI PROVIDERModel responsesecret never returned

From prompt to production

Tell the agent what to build. Zeple handles what it needs behind the app.

  1. 01
    ASK

    Describe the app you want.

    Your product prompt defines the experience, data, users, files, and AI features the coding agent needs to create.

    "Add Zeple to this app"
  2. 02
    BUILD

    The agent connects Zeple.

    It adds the client SDK, maps your models, and uses the project's ready backend services instead of generating a server.

    import ZepleClient
  3. 03
    SHIP

    The app keeps using the same backend.

    At runtime, Zeple authenticates users, protects secrets, isolates data, and operates the shared services behind the experience.

    backend.status = .ready

Common questions

A practical backend for apps created with AI.

Zeple closes the gap between an AI-generated interface and the secure, persistent services a production application needs.

What backend does an AI-built app need?

Most real apps need user authentication, persistent data, private file storage, permission boundaries, and a safe way to call third-party AI APIs. Zeple provides those services in one managed backend.

Can an AI coding agent connect an app to Zeple?

Yes. Zeple is designed so a coding agent can configure a project, connect the client SDK, map app models, and use backend services without generating and operating a custom server.

Does Zeple replace server-side code?

For the common backend services Zeple provides, you do not need to build a separate service layer. The application uses Zeple for auth, PostgreSQL data, files, and protected AI requests.

How does Zeple protect AI API keys?

Your provider keys are stored on the server. The client sends an authenticated request through Zeple's secure AI proxy, so keys are not hardcoded into the app or returned to its users.

Built for the agent. Ready for the app.

Let your AI build the app.
Zeple handles what comes after.

Open Zeple Console to create a project, connect your coding agent, and give the app a complete backend.

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