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[ THE PLATFORM ]

The private AI platform, running today.

Provision a GPU instance, pick a model, point your app at it. Everything here is live in the console.

[ WHAT IS SHIPPED ]

Everything below is running today. You can use it yourself.

  • 19

    Open models in the catalog

  • 4

    Model types you can serve

  • 1

    Line to migrate your app

  • 0

    Tokens you are billed for

[ WHAT YOU DO IN IT ]

Provision, serve, and watch it from one console.

  • Provision the hardware.

    Pick a GPU class and see the cost before billing starts. You pay only while the instance runs.

  • Serve a model from the catalog.

    Deploy from the catalog or import your own weights. The model serves behind an OpenAI-compatible endpoint.

  • Watch every call it serves.

    Requests, tokens, errors, and latency, broken down by instance, endpoint, model, and key, with the raw request log underneath.

[ THE SURFACE ]

What the platform actually gives you.

  • Models

    The weights live with you.

    Nineteen open models across language, multimodal, embedding, and speech, or import your own. Swapping one is config.

  • Retrieval

    Ask questions of your own corpus.

    Retrieval over your documents. The index stays in your perimeter.

  • Control

    Every call is attributable.

    Single sign-on, scoped keys, full audit log. MCP keys let agents run it.

[ WHAT YOU KEEP ]

What you keep, either way.

  • Your data stays yours.

  • Tune models inside your perimeter.

All four feed one loop that compounds.

  • You own the weights. Swap any time.

  • A flat rate finance can forecast.

[ WHO DOES WHAT ]

What deeplit® handles, and what stays yours.

  • We do the setup.

    We build it and hand you the keys: Terraform, serving stack, access control, audit logging. No ML team needed.

  • The deployment stays yours.

    If you leave, your data and stack stay put. Leaving is an operations task.

[ NEXT STEP ]

Everything above is live. Open the console.

Create an account, launch an instance, point your app at it. For your own hardware, talk to us about Private.