lang="en">Knowledge-OS — Investor Pitch Deck
Seed Round · 2026 · Confidential
Knowledge-OS

The Organisation That Remembers Everything

When your best people leave, their expertise stays.

knowledge-os.net →
The Problem

€4.7 Trillion in Expertise Is Walking Out the Door

Right now, across Europe, the most expensive knowledge loss in history is underway — and nobody has a solution.

👥
35%

of government and industrial workforces retiring this decade

Source: Eurostat / OECD Labour Force Statistics

⏱️
12 months

before a replacement reaches full productivity

Source: SHRM Human Capital Benchmarking Report

💸
€150K

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).

The Root Cause

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.”

The Solution

Knowledge-OS: The Living Memory of Your Organisation

We extract what experts know, structure it into an organisational memory, and make it instantly usable — by people and AI systems alike.

01

Extract

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.

02

Structure

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.

03

Deploy

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.

ExtractStructureDeploy

Key Differentiators

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

Why Now

Three Forces Converging. The Timing Is Now.

01

AI is Finally Capable

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.

02

The Demographic Wave is Cresting

30–40% of European government and industrial workforces are retiring this decade. Not “someday.” Now. Every month of delay is institutional knowledge permanently lost.

03

The Market is Funded and Searching

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.

The Convergence Insight

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.

Product in Action

From Expert Knowledge to Organisational Intelligence

Expert Conversations

Layer 1 — Capture

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.

Knowledge Graph

Layer 2 — The Memory Layer

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.

AI-Powered Access

Layer 3 — Deployment

The Memory Layer powers everything downstream: onboarding, decision support, compliance, and — critically — verified AI agents that organisations can actually trust.

Use Cases

ScenarioKnowledge-OS in ActionBusiness Outcome
Expert departingAI harvests 10+ years of tacit knowledge before exitNear-zero knowledge loss
New hire onboardingOnboarding AI answers questions from Memory Layer50%+ faster time-to-competency
AI project launchAgents trained on verified organisational knowledgeAccurate, trusted AI outputs
Compliance auditDocumented practices match actual expert behaviourReduced audit risk
Strategic decisionManagement queries collective organisational memoryEvidence-based decisions
Traction & Validation

Real Prospects. Two Verticals. Growing Pipeline.

Product MVP — full extraction → memory → deployment loop

Complete
🔄

ERP vertical — active prospect pipeline with enterprise customers

In Progress
🔄

Blue collar vertical — initial prospect engagement started

In Progress
🔄

ISO 27001 / BIO certification — process started

In Progress
📅

First paying customer conversion — target Q3 2026

On Track
📊

Active 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.”

Market Opportunity

A Multi-Billion Euro Market With Zero Direct Competition

TAM
>€50B

All organisations globally with significant tacit-knowledge risk

SAM
~€8B

EU enterprises and public sector (ERP + blue-collar verticals)

SOM — Launch
~€500M

Netherlands + Benelux: government + industrial

SOM — Year 1–3
~€4.5M ARRARR

Reachable with current GTM: 10–30 enterprise customers

Two Beachhead Verticals

ERP / Enterprise

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.

€40K implementation|€150K/year

Blue-Collar / Industrial

Manufacturing, construction, logistics, utilities — where deep craft knowledge sits entirely in the heads of experienced operators.

€20K implementation|€150K/year
Business Model

Enterprise SaaS: €150K ARR Per Customer. ~97% Gross Margin.

€12500

MRR per customer from day one

~97%

Gross margin — among the highest in B2B SaaS

<5%

Annual churn — deep integration = strong retention

Month 11

Break-even point — capital efficient model

Revenue Structure

Revenue StreamERP CustomersBlue-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%

Scaling Math

10 customers
~€1.5M ARR
~€125K/mo
30 customers
~€4.5M ARR
~€375K/mo
80 customers
~€12M ARR
~€1M/mo
Competitive Advantage

The Only Platform That Extracts, Structures, and Deploys Organisational Knowledge

AlternativeWhat They DoWhy They Fall Short
SharePoint / Confluence / NotionPassive document storesNo AI extraction. Humans must document everything — and they don’t.
Survey tools (Typeform, SurveyMonkey)Static questionnairesSurface-level answers. Miss the tacit knowledge that matters most.
AI interview platforms (Tellet, Wondering)Research-grade AI interviewsResearch focus only. No knowledge structuring, no Memory Layer, no deployment.
KM platforms (Guru, Bloomfire)Knowledge repositoriesPassive. Rely on employees to self-document. Same fundamental problem as wikis.
GenAI chatbots (ChatGPT, Copilot)General LLM assistantsNo organisational memory. Answers from public data, not your expertise.
Enterprise HR suites (Workday, SAP)Broad HR platformsKnowledge retention is an afterthought. Prohibitively expensive.

Four Defensible Moats

01

Proprietary Memory Data

Each customer’s Memory Layer is a unique, compounding knowledge asset. It cannot be replicated. It grows more valuable every month.

02

Compliance Certifications

ISO 27001 + BIO = 18–24 month barrier to entry. Table stakes for government and regulated industries.

03

Sovereign Architecture

EU-native deployment locks out US-only vendors from government and regulated enterprise deals.

04

Flywheel Effect

More knowledge captured → more value → stronger retention → more departments adopt → more knowledge captured.

Team

Founders With Deep Domain Expertise and Skin in the Game

Michel Haagmans and Patrick Fiolet at the Knowledge-OS booth

Michel Haagmans & Patrick Fiolet

Founders, Knowledge-OS — at a recent tech expo

Michel Haagmans

Michel Haagmans

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.

Patrick Fiolet

Patrick Fiolet

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.

Founder-market fit

Both founders have experienced the knowledge-loss problem first-hand in previous roles.

Complementary skills

Both bring extensive enterprise sales experience. One builds relationships and closes deals. The other builds product and scales systems.

Skin in the game

Salaries deferred until profitability. Fully committed and aligned from day one.

Hiring Roadmap

1
FoundationYear 1 (H2)

Architect/Lead Dev · 2× Senior Devs · Marketeer · Business Developer

2
ScaleYear 2

2× Medior Devs · Project Manager · BD Wave 2 · Customer Success

3
GrowthYear 3

BD Wave 3 · Additional engineering · Regional sales

4
ExpansionYear 4–5

BD Wave 4–5 · International leads · Enterprise account management

Platform Vision

From Memory Layer to Knowledge Operating System

NOW

Knowledge Extraction

AI conversations with experts → structured Memory Layer. Two validated verticals: ERP and blue-collar. Clear wedge. Proven sales cycle.

YEAR 2–3

Organisational Intelligence Platform

The Memory Layer becomes a company-wide intelligence backbone. All AI systems, agents, and workflows draw from verified knowledge.

YEAR 4+

Sovereign Knowledge Infrastructure

Deployable on EU-hosted open-source AI models, on-premise hardware, and sovereign cloud. The knowledge layer that makes any AI stack work.

The Platform Opportunity

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.

The Ask

€1,000,000 Seed Round — Capture the Category Before the Window Closes

€1,000,000 to acquire the first 10 enterprise customers, achieve full compliance certification, and build the team to Series A readiness.

Use of Funds

Product development~€500K

Platform features, AI agents, integrations, engineering team

Go-to-market~€250K

Enterprise sales, events, partnerships, demand gen

Team expansion~€150K

Business development, marketing, customer success

Operations & compliance~€100K

ISO 27001 + BIO, legal, infrastructure

Fund Allocation

Knowledge-OS — Investor Pitch Deck
  • Knowledge-OS — Investor Pitch DeckProduct development
  • Knowledge-OS — Investor Pitch DeckGo-to-market
  • Knowledge-OS — Investor Pitch DeckTeam expansion
  • Knowledge-OS — Investor Pitch DeckOperations & compliance

18-Month Milestone Roadmap

1

10 live enterprise customers

>€1.5M ARR

Proves repeatable enterprise sales motion

2

ISO 27001 + BIO certified

Full public-sector access

Unlocks entire Dutch government market

3

Both verticals validated

3+ customers each

De-risks vertical concentration

4

Repeatable GTM

Documented conversion metrics

Scalable sales playbook

5

Series A ready

€3M+ ARR trajectory

Next raise at significantly higher valuation

Runway Calculation

€1,000,000

Seed round

18+ months

Runway to profitability

Series A ready

Within 18 months

What Investors Get

Category leadership

First mover in a large, underserved market with no direct competitor

Exceptional unit economics

~97% gross margins, €150K ARR per customer, break-even Month 11

Deepening moat

Proprietary data, compliance certs, sovereign architecture, flywheel

Capital efficiency

Lean operations with deferred founder salaries. Seed round accelerates growth.

Clear exit paths

Strategic acquirers: SAP, Workday, ServiceNow, Microsoft. Or IPO at scale.

Founder alignment

Deferred salaries until profitability. Full skin in the game from day one.

The Organisation That Remembers Everything

Organisations have invested billions in capturing structured data. But the most valuable knowledge has never been captured. Until now.

Capture
Structure
Deploy

Investment Summary

ProblemCritical knowledge lost when experts leave — €150K cost per departure
SolutionAI-powered Memory Layer: extract, structure, deploy organisational knowledge
Market>€50B global TAM · No direct competitor · Category-creation opportunity
Model€150K ARR per customer · ~97% gross margin · Break-even Month 11
TractionMVP complete · ERP & blue collar prospects active · ISO/BIO certification started
Projections€9.4M revenue · €6.9M EBITDA · 80 customers by Year 5
Ask€1,000,000 Seed · 10 customers · ISO/BIO certified · Series A ready in 18 months

“From what people know — to what the organisation knows.”

📧 [email protected]·🌐 knowledge-os.net

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© 2026 Knowledge-OS B.V. · All rights reserved.CONFIDENTIAL — For authorised recipients only.Seed Round · June 2026