Build and own
your enterprise AI

Prompt your private data into a model you fully own. No ML team, no renting from the labs.

SEE HOW IT WORKS

BUILD ON ANY OPEN MODEL

Llama
Mistral
Qwen
deepseek

Platform. Own a private model trained on your data

SEE HOW IT WORKS

FIG.1

RENT VERSUS OWN

RENTING

Generic API model

A rented model on your data

Model quality on your data0.41

OWNING

Your private Ownital model

Trained on your own data

Model quality on your data0.93

FIG.2

Model quality on your data0.93
10.80.60.40.20
connectraw data
structuretraining ready
promptyour spec
trainprivate model
deployyou own it

FIG.3

documentsspreadsheetstickets

01 Connect your data

Point Ownital at your internal data however messy it is, documents, spreadsheets, tickets, emails.

  • 1.1Works with any source
  • 1.2No cleanup needed from you
  • 1.3Secure and private

FIG.4

02 Structure it automatically

Our data engine turns raw unstructured data into training ready data on its own. This is the hard part and it is automated.

  • 2.1Unstructured to structured
  • 2.2No data team required
  • 2.3This is the core of Ownital

FIG.5

03 Prompt your model

Describe the model you want in plain language and Ownital builds and fine tunes it.

  • 3.1Plain language
  • 3.2No ML engineers
  • 3.3Built on open models

FIG.6

04 Own and deploy

Get a private model you own outright and deploy on your terms.

  • 4.1You own the weights
  • 4.2No ongoing lab dependency
  • 4.3Deploy anywhere

Why the industry agrees

“Every company will need models tuned on their own data. The enterprises that win will own that intelligence rather than rent it from someone else.”

Sundar Pichai

CEO, Google

PUBLIC STATEMENT

“Depending on a single provider for your intelligence is a strategic risk. Owning your models is how you keep control of your own future.”

Alex Karp

CEO, Palantir

PUBLIC STATEMENT

Start from an industry model

Begin with a starter model for your domain and build your own private model on top of it. Each one is a template you can make your own.

Featured5Show All
Prompt in, private model out
1# what you say
2“Build a model on our support tickets
3that answers like our best rep.”
4 
5# what you get
6your-private-model ready to deploy
7you own the weights
8no ML team required

Describe what you want in plain language. Ownital builds and fine tunes a private model on your own data, so you never need an ML team.

The economics of ownership. Rent versus own, side by side.

RENTING FROM A LAB

  • Ongoing monthly fees forever
  • Your data leaves your control
  • Price rises with usage

OWNING WITH OWNITAL

  • Train once, own the model
  • Your data stays private
  • No per token fees

Use cases

Illustrative examples of what teams build with Ownital.

EXAMPLE

An executive search firm replaces several rented tools with one model it owns

EXAMPLE

A law firm runs a private model on its own documents

EXAMPLE

A bank owns a compliant in house model

CASE STUDY
COMING SOON

A real customer story will live here

WE ARE HIRING

Come build the platform that lets companies own their intelligence

We are a small team with an outsized mission. If you want to ship the thing that ends renting intelligence, show us your most exceptional work.