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Private AI for your core workflows

Enterprise owned intelligence: custom-trained, continuously improved. Because your secret sauce is not meant to be shared.

  • GDPR by design
  • SOC 2 Type IIIn progress
  • ISO/IEC 27001In progress
  • German GmbHIn formation
Ownership

Provably yours, forever

You own the model, you own the data, and your IP stays where it belongs.

Routing

Sensitive cases stay private

Routed to your model automatically. Everything else goes to whichever model fits best on quality and cost.

Hosting

Hosted in the EU or on-prem

A European cloud or your own servers, encrypted and access-controlled.

Delivery

Built and run for you

End to end, by our engineers deployed into your team.

Your most valuable knowledge is the part you can't hand to a model provider.

Rented models make everyone the same

General models are excellent and available to every competitor. What sets a company apart is how it makes its core decisions: how it prices, what it approves, how it serves its customers. That knowledge should compound inside the company, not inside someone else's model.

The sensitive data is the valuable data

Customer records, pricing logic and internal know-how are where AI pays off most, and exactly what a board won't send to a US platform. Open models on your own or European infrastructure close that gap.

Readiness is the bottleneck, not willingness

What slows companies down is data quality, governance, works council and data protection approvals. A playbook doesn't fix that. Engineers in the room do.

From workflow map to a model that keeps getting better.

Four stations, one workflow at a time. You see the measured gap before you commit to training.

01

Map

Our engineers, alongside your consultants or in-house team

Find the workflows where a custom model moves the needle: high volume, high value per case, sensitive data, usable data.

You getA ranked shortlist and a readiness check per workflow.

02

Measure

Your experts define what good looks like. We turn that into graders and test today's best models on your real cases.

You getA benchmark of your workflow and the measured gap.

03

Train

Where the measured gap pays off, we post-train an open model on your data for that workflow and deploy it where you decide. Where it doesn't, we tell you.

You getA model you own, in production.

04

Refine

Expert corrections and production failures flow back into training, released only when the evals pass. When a better open base model ships, we re-run your benchmark and switch if it wins.

You getA model that compounds with your business.

Your AI stack already has two layers.

A broad assistant for everyday work, and a deep layer where the company actually decides. The first one you can rent. The second carries your value, so it runs on a model you own.

Broad layer

The AI your teams already use

Work
Drafting, search, summaries, translation, research
Who
Everyone, every day
Runs on
The assistant or API you already license
Core layer

The model you own

Work
Pricing, approvals, claims, customer cases, expert judgment
Who
Fewer workflows, most of the value
Runs on
Your model, in a European cloud or on your own servers
Classify

Your data classes

The rules come from your data protection and security teams. Every request is checked against them.

Decide

Sensitive stays private

Sensitive cases go to your model. Everything else goes to whichever model fits best on quality and cost.

Record

Every decision logged

Data class, route and model version for each request, readable by your CISO and your works council.

Every company has data it would never hand over.

It sits at the core of the business, whatever the industry. That is where an owned model creates the most value. A few examples of where we start.

  1. 01Claims assessment
  2. 02Underwriting support
  3. 03Broker and customer correspondence
Data that stays under your control

Claims files, pricing and risk models, broker terms

Ready to start exactly where you are?

We start with the workflows, data and systems you already have, measure the gap on your real cases, and you decide on training once you have seen it.

Schedule a founder call