AI that shows its work. And stays where you put it.
What follows is the complete flow: on the left, what you would see in the room.
On the right, why it is built that way.
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In regulated work the draft was never expensive — the verification was. AI without proof removes almost none of it.
A qualified person redoes the AI's work "to be safe". The company pays for the AI and keeps the cost of the person.
Click any claim — the document opens at the exact page.
Every step written down, immutably. Nobody can change it.
Policy stops the action before it happens — never a report afterwards.
One runtime does the work, applies the rules and writes the evidence as a single event. The check becomes a look, not a repeat.
A log stitched together after the fact never survives inspection. Evidence born with the work does.
> assess: is claim #4121 within policy?
run 1 · "likely covered, subject to…"
run 2 · "coverage is doubtful because…"
run 3 · "covered. (confidence: high)"
> assess: is claim #4121 within policy?
run 1 · WITHIN POLICY · §4.2(b) · hash 8f3a21c4
run 2 · WITHIN POLICY · §4.2(b) · hash 8f3a21c4
run 3 · WITHIN POLICY · §4.2(b) · hash 8f3a21c4
A regulator calls variance an uncontrolled process. It cannot be validated, sampled by a supervisor, or carry a signature.
Pinned retrieval, numbers computed outside the model, deterministic gates. Same inputs, same hash — on demand, years later. That is what model-validation teams can approve.
Each figure comes from measured deployments, with the evaluation method and baselines available in diligence — not from a vendor slide.
Thirty-four vendors assessed across twenty-nine axes. The ability to run with no internet at all decides who may even bid in sovereign procurement.
Operational resilience, ICT third-party control and auditability — already binding on the EU financial sector.
In force since January 2025Record-keeping, transparency, human oversight and accuracy become legal requirements. Every record is pre-mapped to the articles an examiner will cite.
Applies 2 December 2027Built for regulated, constrained and sovereign environments — not a wrapper on a frontier API.
Context and KV-cache compression — roughly 2× more model per unit of hardware. It makes on-premise affordable.
Train → distill → evaluate → deploy, in-house. Withdraw a source, and we prove the model no longer carries it.
Prompt leaves the perimeter → vendor logs → retention and training policies you don't control. A regulated institution's work product is not training data.
Own models on your substrate: nothing leaves, nothing is trained on, and deletion is demonstrated — not promised.
Your AWS account, our full stack inside it — dedicated VPC, your KMS keys, no shared tenancy, EU region.
The same runtime, byte for byte, on AWS, Azure, Google Cloud — always in your account, with your keys — or on a sealed appliance in your building.
Watch the record numbering: migration carries the state and the evidence chain unbroken. Your audit history is never hostage to a substrate.
An unplug button appears. Press it. The network is severed — and the evidence keeps writing. That is the whole thesis in one gesture.
Ships sealed, deploys itself, nothing configured to call home. Updates arrive signed, by hand. Evidence leaves only when you carry it.
A workflow built on AWS this morning runs here this afternoon — chain intact. For banks under residency law, defence, health, and anyone whose supervisor has learned to ask.
"Deterministic, reproducible, evaluable — finally something my validation framework can approve."
"The audit file exists by construction. I sample records, not promises."
"Where does the prompt go? Nowhere. That is a one-sentence DPIA."
"They asked me to unplug the network during the demo. Nobody has ever asked me that."
The system is organised the way regulated institutions are examined — so every gatekeeper in the buying chain recognises their own framework in it.
Developed and validated with the organisations below. Details under NDA.
A small number of Nordic investors are being invited into a private process ahead of a financing round. First conversation under NDA — then we demo, live, exactly what this page simulates.
Open times come from Outlook. Busy hours stay hidden. Confirmation stays on this page.
A Teams invite is on its way. First conversation under NDA — then the live demo.
Questions only: vlatko.kotevski@adamass.se
This page intentionally contains no company-identifying information. All figures are measured results; supporting evidence is available in diligence.