01 · Organisation
Map how work is actually performed.
We map structures down to job families, roles and recurring activities, including workflows, systems, interfaces, decision points and time allocation.
For institutional investors
Building Europe’sAI-native buyoutchampion
Generation Tech Partners is a European private equity firm acquiring profitable B2B service businesses in fragmented markets. We combine disciplined majority buyouts and buy-and-build with a proprietary methodology to quantify AI-enabled value creation before implementation.
Traditional buyout discipline. Quantified AI-enabled value creation.
- €60m+
- Fund 26 · closed
- €1–5m
- Platform EBITDA
- ≥ €0.5m
- Add-on EBITDA
- Majority
- Buyouts
- Europe
- Starting in Germany
At a glance
Generation Tech Partners (GTP) is a European private equity firm based in Hamburg, Germany. It makes lower-middle-market majority buyouts of profitable, founder-owned B2B service businesses, mostly in succession situations, and builds them into larger groups through buy-and-build. Platforms have EBITDA of €1–5m, add-ons from €0.5m. Value creation combines operational improvement with the GTP AI Value-Creation Engine, which quantifies AI potential at task level before implementation. Fund 26 closed with more than €60m of equity in October 2026.
Preserving life’s work.Shaping the future.
We buy businesses that already work. Then we change how they work.
Fund 26 · Closed · Europe
Customer communicationAugment
Invoice verificationAutomate
ReconciliationAccelerate
Reminder preparationAutomate
Dispute resolutionHuman critical
Profitable, founder-owned B2B service businesses.
Tasks classified 0/5
- 1Customer communicationAugment
- 2Invoice verificationAutomate
- 3ReconciliationAccelerate
- 4Reminder preparationAutomate
- 5Dispute resolutionHuman critical
Illustrative field scan of a finance back office. Five tasks are classified: customer communication can be augmented; invoice verification can be automated; reconciliation can be accelerated; reminder preparation can be automated; dispute resolution stays human critical.
A new generation of European private equity
Chapter 01 · The opportunityPrivate equity is entering the AI era.
Private equity has historically created value through capital, governance, professionalisation and consolidation. AI introduces another structural lever: the ability to redesign how businesses sell, deliver, manage and scale work.
Generation Tech Partners was founded around a simple conviction. One of the largest private equity opportunities created by AI is transforming profitable traditional businesses whose economics AI can materially improve.
GTP is a buyout model designed for the AI era.
Why Europe, why now
GTP / 01.3 · ThesisThree structural forces are converging.
01
Succession
A generational ownership transition is creating access to high-quality private businesses.
02
Fragmentation
Many European B2B service markets remain fragmented and below the primary focus of institutional private equity.
03
AI inflection
AI lets labour-constrained service businesses grow output faster than headcount.
The GTP opportunity
- 01 · SuccessionSuccession creates access.
- 02 · FragmentationFragmentation creates consolidation potential.
- 03 · AI inflectionAI creates operational upside.
The LP case
Chapter 02 · The investment modelOur investment case rests on three independent drivers.
Three drivers that do not depend on each other. Each can carry returns on its own; together they compound.
Returns come from earnings growth. Multiple expansion is upside. We aim to build businesses that deserve it.
- 03Scale
- Buy-and-build. Use fragmented markets to build scaled institutional-quality groups.
- Institutionalisation. Stronger management, infrastructure and strategic relevance.
- 02Value creation
- Operations. Improve management, commercial execution and operating processes.
- AI-enabled productivity. Task-level opportunities for productivity, capacity, revenue and margin.
- 01Entry
- Structural access. Founder succession opens access to profitable private businesses.
- Market inefficiency. Below the primary focus of institutional mid-market private equity.
- Entry discipline. Strong businesses at disciplined valuations.
Sources of value creation · not a return attribution
Sweet spot
Small enough to be inefficient. Large enough to transform.
Platform investments
€1–5m EBITDA
Profitable, established B2B service businesses capable of becoming the nucleus of substantially larger groups.
Add-ons
From €0.5m EBITDA
Strengthening the platform in geography, capability, customers, talent, vertical expertise and market share.
We buy exceptional smaller businesses and build them into institutional-quality market leaders.
The four core sectors are our focus. We also invest in other profitable B2B service businesses that meet our criteria. Investment focus →
Principles
Five investment principles.
The rules we apply from acquisition to exit.
- 01
We underwrite existing earnings.
Every acquisition must work on sustainable existing earnings. AI-enabled value creation, debt and multiple expansion are not required to justify it.
- 02
We measure before we automate.
Every initiative starts with a baseline and ends with a realised result.
- 03
Judgement stays with people.
Tasks classified human critical stay with the team.
- 04
Data stays with the company.
Operating patterns travel across the portfolio. Client data stays where it belongs.
- 05
Fewer companies, transformed deeply.
Every platform gets the direct attention of the Managing Partners.
We would rather walk away than underwrite a transformation we have not yet delivered.
The GTP AI Value-Creation Engine
Chapter 03 · The proprietary edgeFrom org chart to EBITDA
GTP’s methodology converts organisational complexity into a measurable AI value-creation plan. We start with how work is actually performed in the business.
OrganisationJobTaskSkillAI capabilityEconomic impactAI Efficiency MapAI Implementation Book
02 · Job
One function, decomposed into roles.
Finance becomes head of finance, accounting, accounts receivable and reporting. Each role is described by what people actually spend their week on.
03 · Task
Move beyond generic AI assumptions.
We assess each activity within a role and decide whether it can be automated, augmented, accelerated or improved.
04 · Skill and work characteristics
Measure where technology changes the economics.
The GTP Skill Efficiency Methodology analyses the relationship between roles, tasks, skills, time, cost and AI capability. Each task is scored on time, cost, frequency, judgement, data availability and system dependency.
05 · AI capability
Every task receives one classification.
- Automate
- Technology can perform most of the workflow.
- Augment
- Technology materially increases employee productivity.
- Accelerate
- Technology reduces cycle or decision time.
- Improve
- Technology improves consistency, accuracy or quality.
- Human critical
- Human expertise remains the primary source of value.
We automate only where it raises economic productivity.
06 · Economic impact
Translate AI potential into economics.
We model hours consumed, personnel cost, automation and augmentation potential, implementation complexity, data and technology readiness, expected productivity uplift, capacity creation and potential financial impact. Every estimate is a range.
07 · GTP AI Efficiency Map
Where value is most likely, before money is spent.
The AI Efficiency Map plots every opportunity by economic impact and implementation feasibility. It shows where AI is most likely to create economic value before significant implementation resources are deployed.
08 · GTP AI Implementation Book
From 100 possible use cases to the 10 that matter.
Most organisations have plenty of AI ideas and little prioritisation. The task is to find the few initiatives that materially change the economics of the business.
- Economic impact
- Potential EBITDA, revenue or capacity effect.
- Implementation effort
- Complexity and resources required.
- Technology readiness
- Reliability of available technology.
- Data readiness
- Availability and quality of required information.
- Organisational impact
- Roles and processes affected.
- Time to value
- Expected speed to measurable results.
| Priority | Initiative | Owner | Baseline | Target KPI | Expected impact | Time to value | Status |
|---|
We don’t guess where AI creates value. We measure it.
Every initiative runs through the same loop. Each turn starts from a better estimate, so the engine gets faster and more accurate with every implementation.
01 · Estimate
Task-level ranges in due diligence.
- Estimate: task-level ranges in due diligence.
- Prioritise: by value, feasibility and risk.
- Implement: small first, with management.
- Measure: against the pre-change baseline.
- Learn: stop, scale or reuse, and recalibrate the next estimate.
Portfolio model
GTP / 03.9 · OntologyOne model of the whole portfolio.
Every line in the AI Implementation Book traces back through this structure: from the group to a company, a function, a role and a single task. Scroll to zoom in.
GTP Engine / Portfolio model
Illustrative portfolio model. Fund 26 holds platforms. The platform has five functions and has acquired three add-ons. Finance has four roles; accounts receivable has seven tasks. The task invoice verification is classified automate and linked to the initiative AR automation, the KPI days sales outstanding and the owner CFO.
Operating system
Chapter 04 · The operating systemAnalysis is only valuable if it changes the business.
Our operating system turns analysis into measurable change. Three phases, nine steps, in a fixed order.
01–03
Diagnose
Outcome: a prioritised list with quantified potential.
- 01MapUnderstand roles, workflows, tasks and skills.
- 02QuantifyEstimate the economic AI potential.
- 03PrioritiseSelect initiatives by impact, feasibility and speed.
04–07
Execute
Outcome: simpler workflows, visible in management reporting.
- 04InstrumentBuild management transparency, data and KPIs.
- 05SimplifyRedesign workflows before automating them.
- 06AutomateDeploy technology where it reliably performs work.
- 07AugmentRaise human productivity and decision quality.
08–09
Compound
Outcome: more capacity and margin, in every add-on as well.
- 08ScaleConvert productivity into capacity, growth and margin.
- 09ConsolidateIntegrate add-ons into the common operating model.
Buy-and-build
Chapter 05 · The compounding modelBuy-and-build works as an operating system.
Acquisitions do more than add revenue. Each add-on expands the platform while selected capabilities migrate into shared infrastructure. Companies keep their name, clients and teams.
Before integration, the platform and three add-ons each run their own finance, systems, data and operations. After integration they share finance, procurement, data, technology, talent and AI infrastructure inside one institutional-scale group, while each company stays operationally visible.
Every acquisition expands the platform and improves the system.
Compounding capability
The operating system compounds.
Each portfolio company creates workflow knowledge, implementation experience, process patterns, integration playbooks, KPI frameworks and vendor knowledge. Successful patterns inform deployments across departments, locations, add-ons and portfolio companies.
The compounding asset is institutional knowledge and reusable operating patterns. Confidential company and client data stay with the company that owns them.
Transfers across the portfolio
- Process designs
- Integration playbooks
- KPI frameworks
- Agent architectures
- Vendor experience
Stays with each company
- Client data
- Company data
- Brand and client relationships
Apply technology to existing economics.
GTP stays neutral on which foundation model or AI software company wins. We acquire businesses that already have customers, revenue, profits, market positions and cash flow, then apply the best available technology to improve how they operate.
Buyout discipline. Technology-enabled operational upside.
Team
Chapter 06 · The institutionBuilt by private equity experts, entrepreneurs and technologists.
Humans run the operating system. Three Managing Partners lead every investment personally.
Own fewer companies. Transform them deeply.
Elias Bitzer
Managing Partner
Private equity · Transactions · Buy-and-build
- 12+ years in M&A, 30+ transactions
- Formerly Afinum
Dr. Sebastian Herfurth
Managing Partner
Entrepreneurship · Operations · Governance
- Doctorate in law, fintech background
- 15+ company formations
Daniel Szabo
Managing Partner
Investments · AI value creation · Portfolio transformation
- Former CEO, Körber Digital
- Founded and exited YOU MAWO
€60m+Equity at final close
Oct 2026Final close
€1–5mPlatform EBITDA
≥ €0.5mAdd-on EBITDA
| Item | Detail |
|---|---|
| Strategy | Lower-middle-market majority buyouts |
| Focus | Profitable B2B service businesses |
| Geography | Europe, starting in Germany |
| Platform EBITDA | €1–5m |
| Add-on EBITDA | From €0.5m |
| Fund 26 | €60m+, final close October 2026 |
| Value creation | Operations · AI · Organic growth · Buy-and-build |
| Disclosure | SFDR Article 8 |
Firm facts as of final close, October 2026. A description of the firm, not an offer of fund interests. SFDR Article 8 disclosures: generationtech.partners/veroeffentlichungen.
Reporting and access
Institutional reporting. Direct partner access.
Our Limited Partners receive quarterly portfolio reporting and direct access to the Managing Partners. Fund documents, portfolio updates and investor materials are available through the secure investor portal.
Fund 26 is backed by European institutional investors, family offices and entrepreneurs.
In brief
Questions LPs ask first.
What is Generation Tech Partners?
Generation Tech Partners (GTP) is a European private equity firm based in Hamburg, Germany. It acquires majority stakes in profitable B2B service businesses in fragmented markets and builds them into larger groups through buy-and-build and quantified AI-enabled value creation. Fund 26 closed with more than €60m of equity in October 2026.
What does GTP invest in, where and at what size?
GTP invests in profitable, founder-owned B2B service businesses, mainly in succession situations, across Europe, starting in Germany. Platform investments have €1–5m EBITDA; add-ons start from €0.5m EBITDA.
What is AI-native private equity?
AI-native private equity systematically integrates artificial intelligence into investment underwriting, organisational analysis, portfolio operations and M&A integration to create measurable economic value in traditional businesses. The portfolio consists of traditional businesses. AI is the tool applied to them.
What is the GTP AI Value-Creation Engine?
The GTP AI Value-Creation Engine is Generation Tech Partners’ method to move from org chart to EBITDA. It runs from organisation, job, task and skill to AI capability, economic impact and prioritised implementation. It quantifies AI-enabled value creation before implementation.
What is the Skill Efficiency Methodology?
The Skill Efficiency Methodology analyses the relationship between roles, tasks, skills, time, cost and AI capability. Each task is classified as automate, augment, accelerate, improve or human critical, and its economic potential is estimated as a range.
What are the AI Efficiency Map and the AI Implementation Book?
The AI Efficiency Map plots opportunities by economic impact and implementation feasibility. The AI Implementation Book turns the highest-priority opportunities into initiatives with owner, baseline, target KPI, expected impact, time to value and status.
How does GTP execute buy-and-build?
GTP acquires a platform and adds companies in the same fragmented sector. Add-ons keep their name, clients and teams, while finance, procurement, data, technology, talent and AI infrastructure move into a shared group layer.
Does the investment case depend on AI?
No. Every acquisition is underwritten on sustainable existing earnings. AI-enabled value creation, debt and multiple expansion are not required to justify an acquisition.
What differentiates Generation Tech Partners?
GTP combines disciplined lower-middle-market buyouts with a systematic, task-level methodology to estimate and measure AI-enabled value creation, applied across a concentrated buy-and-build portfolio.
Who are the Managing Partners of Generation Tech Partners?
Generation Tech Partners is led by three Managing Partners: Daniel Szabo, Dr. Sebastian Herfurth and Elias Bitzer. They lead every investment personally.
How large is Generation Tech Partners’ fund?
Fund 26 closed with more than €60m of equity in October 2026. It is backed by European institutional investors, family offices and entrepreneurs.
What is an AI-enabled roll-up?
An AI-enabled roll-up combines buy-and-build with systematic AI deployment. Several companies in one fragmented sector join a common platform, share finance, data and technology, and apply AI to recurring work such as quoting, planning, billing and customer service.
Which sectors does Generation Tech Partners invest in?
GTP focuses on four core sectors: real-estate services; compliance, testing and certification; non-medical healthcare services; industrial service and maintenance. It also invests in other profitable B2B service businesses that meet its criteria.
Investor Relations
Get in touch
We speak with institutional and entrepreneurial investors who share our view of European service businesses. Conversations are private and non-binding. Fund 26 is closed, and this page does not offer interests in any fund.
Or write to daniel@generationtech.partners