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When your best people leave, their expertise stays.
Right now, across Europe, the most expensive knowledge loss in history is underway — and nobody has a solution.
of government and industrial workforces retiring this decade
Source: Eurostat / OECD Labour Force Statistics
before a replacement reaches full productivity
Source: SHRM Human Capital Benchmarking Report
average true cost of replacing one senior expert
Source: Deloitte / Oxford Economics Workforce Studies
€4.7T estimate based on EU workforce replacement costs × retirement wave scale (Eurostat, Oxford Economics, Deloitte).
Tacit knowledge is invisible and volatile.
The most valuable expertise — judgement calls, grey-area decisions, the “why” behind processes — is fluid, unstructured, and lives exclusively in people’s heads. It was never designed to be captured.
Existing tools are passive and shallow.
Wikis, exit interviews, document management systems — they document what someone chose to write down. They miss 80%+ of what that person actually knows: the volatile, fluid expertise that disappears when they leave.
This is not a documentation problem.
It’s an infrastructure gap. Organisations have spent billions on data infrastructure. They have spent zero on knowledge infrastructure for capturing fluid, unstructured expertise.
“Every organisation we talk to recognises this problem instantly. None has found a solution. That’s the signal.”
We extract what experts know, structure it into an organisational memory, and make it instantly usable — by people and AI systems alike.
Our AI conducts deep, natural conversations with your experts. Not surveys. Not forms. Real dialogues that surface the why behind decisions, the nuance behind protocols, the judgement calls that took 20 years to learn.
Captured knowledge is automatically organised into a Memory Layer — a living, searchable knowledge graph that reflects what your organisation truly knows, not just what it officially documents.
The Memory Layer is immediately actionable. New employees onboard 50% faster. AI agents access verified organisational context. Compliance finds evidence. Management makes decisions backed by collective intelligence.
AI-powered expert conversations — captures depth and nuance that forms never reach
Living Memory Layer — a continuously updated knowledge graph that evolves
Embedded AI agents — trained on verified organisational knowledge
Sovereign & secure by design — GDPR-compliant, ISO 27001-ready, EU sovereign cloud
LLMs and retrieval-augmented generation now enable contextually-rich expert conversations at scale. Two years ago, this was impossible. Today, our pipeline extracts knowledge with a depth that surprises even the experts themselves.
30–40% of European government and industrial workforces are retiring this decade. Not “someday.” Now. Every month of delay is institutional knowledge permanently lost.
Both our target verticals have active budgets. ERP-driven enterprises are allocating for AI-readiness and knowledge preservation. Blue collar industries face acute workforce transitions and are investing in solutions to retain operational expertise. The procurement cycles are open.
AI quality depends on knowledge quality. Without structured tacit knowledge, enterprise AI is built on sand. Knowledge-OS provides the foundation layer that makes every other AI investment perform.
AI engages experts in natural, structured conversations — following threads, probing deeper, surfacing knowledge they didn’t know they had. Each session extracts the equivalent of months of shadowing in hours.
Captured knowledge is structured into a dynamic, searchable Memory Layer. It grows, connects, and stays current. It is the single source of truth for what your organisation actually knows.
The Memory Layer powers everything downstream: onboarding, decision support, compliance, and — critically — verified AI agents that organisations can actually trust.
| Scenario | Knowledge-OS in Action | Business Outcome |
|---|---|---|
| Expert departing | AI harvests 10+ years of tacit knowledge before exit | Near-zero knowledge loss |
| New hire onboarding | Onboarding AI answers questions from Memory Layer | 50%+ faster time-to-competency |
| AI project launch | Agents trained on verified organisational knowledge | Accurate, trusted AI outputs |
| Compliance audit | Documented practices match actual expert behaviour | Reduced audit risk |
| Strategic decision | Management queries collective organisational memory | Evidence-based decisions |
Product MVP — full extraction → memory → deployment loop
CompleteERP vertical — active prospect pipeline with enterprise customers
In ProgressBlue collar vertical — initial prospect engagement started
In ProgressISO 27001 / BIO certification — process started
In ProgressFirst paying customer conversion — target Q3 2026
On TrackActive enterprise pipeline across ERP and blue collar verticals
Inbound interest growing from industrial and ERP-driven enterprises
100% problem recognition rate — every prospect confirms the pain
“The signal is clear: knowledge loss is a boardroom-level concern. Nobody has a solution. We are the only ones building one.”
All organisations globally with significant tacit-knowledge risk
EU enterprises and public sector (ERP + blue-collar verticals)
Netherlands + Benelux: government + industrial
Reachable with current GTM: 10–30 enterprise customers
Complex, process-driven organisations where ERP knowledge is owned by a small group of senior consultants. When they leave, the organisation loses its institutional operating manual.
Manufacturing, construction, logistics, utilities — where deep craft knowledge sits entirely in the heads of experienced operators.
MRR per customer from day one
Gross margin — among the highest in B2B SaaS
Annual churn — deep integration = strong retention
Break-even point — capital efficient model
| Revenue Stream | ERP Customers | Blue-Collar |
|---|---|---|
| One-off implementation | €40,000 | €20,000 |
| Annual subscription | €150,000/year | €150,000/year |
| Monthly recurring | €12,500/month | €12,500/month |
| Gross margin | ~97% | ~97% |
| Alternative | What They Do | Why They Fall Short |
|---|---|---|
| SharePoint / Confluence / Notion | Passive document stores | No AI extraction. Humans must document everything — and they don’t. |
| Survey tools (Typeform, SurveyMonkey) | Static questionnaires | Surface-level answers. Miss the tacit knowledge that matters most. |
| AI interview platforms (Tellet, Wondering) | Research-grade AI interviews | Research focus only. No knowledge structuring, no Memory Layer, no deployment. |
| KM platforms (Guru, Bloomfire) | Knowledge repositories | Passive. Rely on employees to self-document. Same fundamental problem as wikis. |
| GenAI chatbots (ChatGPT, Copilot) | General LLM assistants | No organisational memory. Answers from public data, not your expertise. |
| Enterprise HR suites (Workday, SAP) | Broad HR platforms | Knowledge retention is an afterthought. Prohibitively expensive. |
Each customer’s Memory Layer is a unique, compounding knowledge asset. It cannot be replicated. It grows more valuable every month.
ISO 27001 + BIO = 18–24 month barrier to entry. Table stakes for government and regulated industries.
EU-native deployment locks out US-only vendors from government and regulated enterprise deals.
More knowledge captured → more value → stronger retention → more departments adopt → more knowledge captured.
Michel Haagmans & Patrick Fiolet
Founders, Knowledge-OS — at a recent tech expo
Co-Founder & CEO
Strategy & Growth
Seasoned entrepreneur with 25+ years of experience in digital transformation and building organisations. Founded Re-Vision and MDC. Deep enterprise sales and go-to-market experience across B2B SaaS and public sector. Believes tacit knowledge is the most underutilised business asset — and that AI can finally change that.
Co-Founder & CTO
Technology & AI
Technical architect behind Knowledge-OS. Builds AI systems that make knowledge transfer more human and scalable. Expert in conversational AI, knowledge extraction, and secure EU-hosted cloud environments. Extensive enterprise software development background.
Both founders have experienced the knowledge-loss problem first-hand in previous roles.
Both bring extensive enterprise sales experience. One builds relationships and closes deals. The other builds product and scales systems.
Salaries deferred until profitability. Fully committed and aligned from day one.
Architect/Lead Dev · 2× Senior Devs · Marketeer · Business Developer
2× Medior Devs · Project Manager · BD Wave 2 · Customer Success
BD Wave 3 · Additional engineering · Regional sales
BD Wave 4–5 · International leads · Enterprise account management
AI conversations with experts → structured Memory Layer. Two validated verticals: ERP and blue-collar. Clear wedge. Proven sales cycle.
The Memory Layer becomes a company-wide intelligence backbone. All AI systems, agents, and workflows draw from verified knowledge.
Deployable on EU-hosted open-source AI models, on-premise hardware, and sovereign cloud. The knowledge layer that makes any AI stack work.
We start by capturing knowledge from departing experts — the most urgent pain point. But the Memory Layer we build is the foundation for something much larger: the operating system for collective organisational intelligence. Every AI investment an enterprise makes becomes more valuable when built on verified, structured organisational knowledge.
€1,000,000 to acquire the first 10 enterprise customers, achieve full compliance certification, and build the team to Series A readiness.
Platform features, AI agents, integrations, engineering team
Enterprise sales, events, partnerships, demand gen
Business development, marketing, customer success
ISO 27001 + BIO, legal, infrastructure
10 live enterprise customers
>€1.5M ARR
Proves repeatable enterprise sales motion
ISO 27001 + BIO certified
Full public-sector access
Unlocks entire Dutch government market
Both verticals validated
3+ customers each
De-risks vertical concentration
Repeatable GTM
Documented conversion metrics
Scalable sales playbook
Series A ready
€3M+ ARR trajectory
Next raise at significantly higher valuation
Seed round
Runway to profitability
Within 18 months
First mover in a large, underserved market with no direct competitor
~97% gross margins, €150K ARR per customer, break-even Month 11
Proprietary data, compliance certs, sovereign architecture, flywheel
Lean operations with deferred founder salaries. Seed round accelerates growth.
Strategic acquirers: SAP, Workday, ServiceNow, Microsoft. Or IPO at scale.
Deferred salaries until profitability. Full skin in the game from day one.
Organisations have invested billions in capturing structured data. But the most valuable knowledge has never been captured. Until now.
“From what people know — to what the organisation knows.”
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