[ Private AI ]

Private AI you own and run, at a flat rate.

Open-weight models in an environment you control, on your own server or on GPUs we provide. Pay by the hour, never per token.

Start on deeplit® Cloud

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[ THE PROBLEM ]

You give up control on two fronts: your data, and your bill.

Your data leaves the perimeter you control.

The security team says no, the review stalls, and every correction teaches a provider how you work.

Every user and every action adds to the bill.

A token meter you do not set. Ten times the customers means ten times the bill.

[ WHAT IS DEEPLIT ]

deeplit® is private AI infrastructure you own and run. Open-weight models in your environment, no third party in the data or management path. Retrieval, audit, and an OpenAI-compatible API in one system.

Cost

One number to forecast

An hour of GPU time does a fixed amount of work.

A public AI API, per token

deeplit®, flat rate

[ WHY FLAT RATE ]

Heavy users cost exactly what light users cost.

deeplit® bills the hour, whatever passes through it. At sustained use, up to 90% below per-token pricing.

No surprise bill

You fund what you run. Nothing starts unasked, and nothing bills after you stop it.

[ WHAT YOU GET ]

Everything a private deployment actually needs.

The pieces regulated work needs, wired together and running today. Provision an instance, pick a model, point your app at it.

Mobile screen showing average token generation time for three models, 17 ms, 13 ms, and 21 ms, and a line graph of streaming metrics over time.

Usage you can see
What ran, what it cost, and where it went.
Retrieval over your docs
The index stays in your perimeter.
Open weights you own
Swap models whenever you like.
OpenAI-compatible
Change the endpoint, keep your code.
Access and audit
SSO, scoped keys, every call logged.

[ TWO OFFERS ]

Two offers. Pick the level of control you need.

deeplit® Private
Your own server or data center. Nothing leaves your perimeter, fully disconnected if you need it.
deeplit® Cloud
GPUs we provide, billed by the hour, never the token.