customer-presentation/BUSINESS.md

Fenja AI — Business Description

Synthesised from the on-site copy of the customer presentation (entrance, timeline, platform overview, deepdive, roadmap, advisory board). Updated to the current customer-facing deck.

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At a glance

Fenja AI is a Danish company and an AI platform — one organisation, one product, one name: "trusted, sovereign AI built in Denmark, for Europe." The platform is client-managed — it installs into the customer's own environment (on-prem or controlled cloud), runs on their hardware, and never sends data to a foreign provider.

It brings language models, organisational knowledge, tools, and agents together in one architecture so a customer doesn't just run an LLM — they get governed work done under their own control.

Backing & provenance (shown across the site):

• Backed by Innofounder (Innovationsfonden / Innovation Fund Denmark)
• Part of AI Lab, BioInnovation Institute
• Part of The Regulatory AI-Sandbox (Datatilsynet & Digitaliseringsstyrelsen)

The strategic thesis

The pitch argues that European digital sovereignty is now a security imperative, not a procurement preference, via a 13-event timeline (Sep 2024 → Q1 2026):

1. Concentration risk — 3 US firms run ~70% of Europe's cloud and almost all its AI capacity (Draghi Report).
2. The "kill switch" is real — Microsoft disabled the ICC prosecutor's email under a US executive order (May 2025); testified to the French Senate it could not guarantee sovereignty even for EU-soil data, because of the US CLOUD Act (June 2025).
3. Governments treat dependence as a vulnerability — Copenhagen's Microsoft bill +72% in 5 years; Copenhagen and Aarhus announced Microsoft exits; the Jan 2026 Danish threat assessment listed the US alongside Russia and China for the first time.
4. Trade weaponisation — Jan 2026 tariffs on Denmark and seven EU nations tied to Greenland; the DSA/DMA/AI Act reframed by the US as trade barriers.
5. Regulation won't close the gap — "sovereign capacity has to be built, not legislated."

Framing question: "When AI runs Europe, who runs the AI?"

Audience

Danish and European organisations that need full control of their own AI — both public sector and highly-regulated private organisations (protecting their data, IP, and regulated workflows from US-vendor dependency). The deck is customer-facing — an introduction shown to prospects — that also explains Project Bifrost in context.

The platform — four layers

Positioned against two insufficient alternatives: renting AI from US firms (sovereignty risk) and DIY open-source LLM deployment ("a model alone isn't enough").

1. Foundation — language model. A state-of-the-art open-source model, deployed on-prem. The starting point, but not yet Fenja.
2. Foundation — knowledge. What makes it Fenja. Wiki (organisational/departmental/personal knowledge, captured via the Fenja AI Compiler into the structured Fenja Wiki with citations) + routines & memory (stand-ups, recurring tasks, working memory) — "a coworker who knows how things get done."
3. Tools — how Fenja acts. Document retrieval (RAG), structured-data/SQL query, system actions (read/write across systems), custom tools.
4. Agents — how Fenja scales. Supervisor (orchestration), specialists (subagents), skills (portable capability), workflows (customer-composed, governed end-to-end).

"Everything you need, with full control" — one client-managed stack from foundation model up through governed multi-agent workflows.

Capabilities ("Choose your Capability")

Four progressively-bundled tiers:

• Fenja Core (foundational) — essential LLM capabilities with Fenja Semantic, a safe custom chatbot that understands the organisation.
• Fenja Dev (developer toolset, + Core) — secure AI-supported development platform.
• Fenja Analyze (strategic intel, + Core) — agents that find, analyze, and present insights.
• Fenja Agentic (automation, + Core/Dev/Analyze) — the complete framework; governed agents collaborate on critical processes.

Implementation roadmap

"One foundation, many use cases." — Setup (platform live in your environment: model, SSO, brand voice, baseline policies) → Knowledge (capture tacit expertise via AI-led interviews) → Tools (wire into warehouses, SharePoint, APIs) → Agents (governed end-to-end workflows). A continuous Govern & scale band runs alongside all stages (security, compliance, change management, training, advisory-council feedback).

Project Bifrost — the engagement programme

A parallel initiative (not a product) that brings a curated group of Danish/European organisations into Fenja's product design — "built with them, not just for them." Members get three inseparable things: Community (a peer network on the sovereignty problem), Advisory Council (regular sessions shaping the roadmap), and Pilot Projects (early platform access at a reduced price, subsidised by the Innovation Fund). After joining: the team reaches out, the participant gets a project-portal invite, a first advisory-council meeting is scheduled, and pilot participation is discussed individually.

Advisory Board

A real, named board — "Bridging industry & sovereign AI" — drawn from regulated Danish institutions and major enterprises:

• Søren Friis — IT Director, DSB
• William Irving — Chief Data & Analytics Officer, Norlys
• Ulla Nygaard Eliassen — Associate Improvement Project Director, Novo Nordisk
• Anna Jessen — Director, Process Excellence & Digitalization, Novo Nordisk
• Mathies Laursen — CDO, Nationalbanken
• Torben Schütt — Office Director, Center for Cyber and Digitalization, Forsvarsministeriet
• Mads Nyborg — Chief Consultant, Data & Analytics, Københavns Kommune
• Håkon Daltveit — Chief Consultant, Data & Analytics, Københavns Kommune

In one paragraph

Fenja AI is a Danish-built, client-managed AI platform — backed by Innofounder/Innovationsfonden, part of the BioInnovation Institute AI Lab and the Regulatory AI-Sandbox — for public-sector and highly-regulated private organisations that need full control of their own AI. It combines an on-prem open-source model, an organisational knowledge layer (Fenja Wiki + routines/memory), a tools layer, and a governed agent framework into one stack inside the customer's environment, sold as four bundled capabilities (Core, Dev, Analyze, Agentic) and delivered via a Setup → Knowledge → Tools → Agents roadmap. The customer-facing pitch is grounded in a concrete thesis — US cloud/AI dependency is now a security and trade-policy risk Europe must answer by building sovereign capacity — and is reinforced by Project Bifrost (community, advisory council, subsidised pilots) and a named advisory board from DSB, Norlys, Novo Nordisk, Nationalbanken, Forsvarsministeriet, and Københavns Kommune.