Useful from day one
Diana works across the knowledge your teams already use, so answers reflect your company—not the open internet.
DIANAMost AI tools make you choose between usefulness and control. Diana gives you both: company-aware work, grounded in evidence, inside a sovereign European boundary.
The standard for every Diana deployment
A polished demo is easy. Reliable work inside a regulated organization is not. Diana is built around the proof, permissions, and deployment choices that turn AI from an experiment into a system your teams can actually use.
Diana works across the knowledge your teams already use, so answers reflect your company—not the open internet.
Material claims stay connected to their source, giving reviewers a fast path from answer to proof.
Keep company context inside a dedicated EU cloud, on-premise, or air-gapped environment—with no external LLM APIs.
Move beyond chat into reviewable memos, reports, decks, and workflows that fit how your organization already operates.
THE COST OF GENERIC AI · HIDDEN IN EVERY ANSWERFast answers lose their value when reviewers cannot see the source, security cannot control the boundary, and teams quietly return to manual work. Diana makes evidence and control part of the output—not an afterthought.
See our approachDiana connects permitted knowledge, reasons across it, and produces finished work with the evidence attached. The entire process stays inside the deployment you choose.
See how we startNo transformation theatre and no endless pilot. We define success before we begin, test Diana against your real work, and only expand once the first use case earns confidence.
We start with one repeatable, evidence-heavy task where better speed and quality will be visible to the business.
We map the approved sources, permissions, output, reviewers, and deployment boundary around your actual process.
Your team tests quality, citation coverage, review time, and control against an agreed baseline—not a staged demo.
Once the first workflow earns trust, reuse the approved foundation across adjacent teams without starting over.
You should not have to weaken security to gain speed, lose evidence to gain convenience, or force teams into another disconnected tool.
Because generic tools do not understand your operating context, preserve every source permission, or produce audit-ready evidence by default.
The questionDiana keeps material claims connected to their sources and puts a human reviewer at the decision points that matter.
The questionChoose dedicated EU cloud, on-premise, or air-gapped deployment without sending company context to external LLM APIs.
The questionStart with one repeatable workflow that has known inputs, a clear owner, and an output your team can measure against today.
The Diana standard“If an answer cannot show its evidence, respect its permissions, and stay inside your boundary, it is not ready for your business.”DDianaWork AI for regulated Europe
In 30 minutes, we will map the work, the evidence it needs, and the controls it cannot compromise. No generic sales deck. If Diana is not the right fit, we will tell you.
