AI roll-ups in DACH

AI roll-ups are fundamentally reshaping the private equity landscape. The strategy: acquire several companies in a fragmented industry, transform them with AI technologies and, through margin expansion, revenue growth and multiple arbitrage, create platform value worth many times the original individual valuations. Investors looking to execute this strategy in the DACH region face one central challenge: how do you find, among hundreds of thousands of companies, precisely the targets with the greatest AI potential? ProxDeal provides the data foundation to answer this question systematically.

What is an AI roll-up?

A roll-up is an acquisition strategy in which an investor or a platform company buys up several smaller businesses in a fragmented industry and combines them into a larger, integrated company. The goal: achieve economies of scale, cut costs, consolidate market share and increase the overall value beyond the sum of its parts.

An AI roll-up adds a transformative lever to this classic strategy: the acquired companies are systematically equipped with artificial intelligence. AI-powered automation replaces manual, repetitive work processes. Intelligent systems take over customer service, scheduling and dispatch, accounting, quality control or quote calculation. The result is margins more reminiscent of software companies than of traditional service businesses.

In 2025 and 2026, the strategy went from a niche topic to the mainstream. Firms such as General Catalyst have invested more than $1.5bn in AI roll-up strategies and report portfolio companies doubling their EBITDA margins within twelve months. The approach is also gaining momentum in Europe, particularly in the DACH region with its unique combination of a dense Mittelstand (the small and mid-sized, often family-owned companies that form the backbone of the economy), widespread succession challenges and a technological lag in many traditional industries.

The four value creation levers of an AI roll-up

To understand why AI roll-ups are so attractive and what matters when selecting targets, you need to understand the mechanics of value creation. A successful AI roll-up creates value through four interlocking levers.

Lever 1: margin expansion through AI automation

This lever is the most obvious and, at the same time, the most powerful. Traditional service businesses typically operate with EBITDA margins of between 8% and 15%. The largest cost block is usually staff for repetitive, process-driven tasks: data entry, document processing, appointment coordination, first-level support, reporting, quote calculation.

AI agents and automation tools can take over a significant share of these tasks. Phone bots answer standard enquiries. AI-based systems process incoming invoices, categorise documents or produce routine reports. Every automated process step reduces staffing requirements and improves the margin.

The goal: EBITDA margins of 30–40%, a level normally reserved for software companies. A company with €5m in revenue and a 12% EBITDA margin generates €600,000 of EBITDA. If the margin rises to 35%, EBITDA climbs to €1.75m. At the same valuation multiple, the enterprise value has almost tripled.

Lever 2: multiple arbitrage (the valuation step-up)

Traditional service businesses are typically valued at 6–8x EBITDA. Technology-enabled platforms, by contrast, command multiples of 15–20x. The reason: investors place a higher value on scalability, predictability and margin resilience than on sheer revenue size.

An AI roll-up turns a labour-intensive service business into a technology-enabled platform. The underlying service stays the same, but the delivery mechanics change fundamentally. A tax advisory practice becomes an AI-powered tax intelligence platform. An IT service provider becomes a managed services provider with automated monitoring and AI ticketing.

This change of category in the eyes of investors creates an enormous step-up in value: buy at a service-business multiple, sell at a tech multiple. That is the core valuation arbitrage of the AI roll-up.

Lever 3: organic revenue growth through AI-enabled scaling

When AI takes over routine work, existing employees can serve significantly more clients without a proportional increase in headcount. A tax advisor freed up by AI-assisted pre-sorting and the automation of standard cases can suddenly look after 120 or 150 clients instead of 80. A recruitment consultant whose candidate matching and initial outreach are automated can handle more search assignments in parallel.

AI-powered products also open up new revenue streams. A trade business that offers its customers a digital maintenance platform with predictive maintenance generates recurring revenue it did not have before. An engineering firm that sells automated preliminary analyses as a self-service tool opens up a scalable line of business alongside its traditional project work.

Lever 4: platform synergies through consolidation

The fourth lever is the classic roll-up effect, amplified by technology: centralisation of administrative functions (accounting, HR, IT, marketing), pooled purchasing power, cross-selling between customer portfolios and unified brand management. AI accelerates this integration because standardised, digital processes are easier to merge than heterogeneous, manual ways of working.

Combined, these four levers offer value creation potential that far exceeds that of classic roll-ups. Traditional PE roll-ups achieve EBITDA increases of 10–15% through cost centralisation. AI roll-ups aim to double or triple EBITDA.

Why the DACH region is particularly attractive

The German-speaking market offers an almost ideal starting position for AI roll-ups, for reasons that are rarely found in this combination anywhere else.

Extreme fragmentation in the Mittelstand. Germany has more than 3.4 million companies, the vast majority of them with fewer than 50 employees. Many service industries have no clear market leader. This fragmentation is the basic prerequisite for any roll-up strategy.

An acute succession problem. According to the latest estimate by the Institute for SME Research (IfM) Bonn, around 186,000 companies in Germany are due for handover between 2026 and 2030 because their owners are leaving management for age-related reasons. Many of them have no internal succession solution. This means there is a structurally high number of companies that are up for sale without being actively marketed. For roll-up investors, these are ideal targets, because the willingness to sell is high and price expectations are often moderate. (More on identifying succession cases: How to find SME succession cases using data)

The digital lag as an opportunity. By international standards, Germany’s Mittelstand lags behind in digitalisation. Where others already work in the cloud with optimised processes, many German companies still rely on fax machines, Excel spreadsheets as inventory management systems and paper-based accounting processes. For AI roll-up investors, this lag is not a problem but precisely the opportunity: the lower the current level of digitalisation, the greater the leverage from AI transformation.

Stable cash flows and high customer loyalty. Many German service companies have long-standing customer relationships and stable, recurring revenue. This reduces acquisition risk and provides a solid basis for operational transformation.

How target identification works with ProxDeal

The biggest challenge in any AI roll-up is neither financing nor AI integration, but selecting the right targets. If you buy the wrong companies, you waste capital. If you buy the right ones but too late, you are already paying inflated multiples. If you buy the right ones but misjudge their AI potential, you fail at integration.

ProxDeal was developed as an AI-based M&A research platform for the DACH region and provides access to more than 7 million company profiles, with a depth of data that is crucial for AI roll-up strategies.

Firmographics: the foundation of every longlist

ProxDeal provides basic company data: industry (by WZ code – Germany’s NACE-based industry classification – and by ProxDeal’s own classification), location, legal form, year of incorporation, headcount and revenue band. These firmographics form the starting point for any screening. An AI roll-up investor looking for IT service providers with 10–100 employees in southern Germany can define this population in seconds. (Our tutorial shows how a longlist is built in practice: Creating a buy-side longlist with ProxDeal)

Shareholder structure and management: identifying succession potential

For AI roll-ups, shareholder information is key. ProxDeal maps ownership structures: who holds which stakes? Is the company owner-managed or owned by a holding company? Is there an identifiable next generation to take over?

A company whose founder and sole shareholder is 62 years old, with no other shareholders or identifiable successors, is highly likely to be open to an acquisition. This signal can be queried systematically in ProxDeal and is worth its weight in gold to roll-up investors. In Germany, ProxDeal is the only provider that enables deterministic, highly precise sourcing of business succession cases.

Financial data: assessing margin structure and AI leverage

ProxDeal provides access to annual financial statements, balance sheet ratios and profitability data. For an AI roll-up strategy, this financial data is relevant from two perspectives.

First, the current margin structure shows how much potential for operational improvement exists. A company with an 8% EBITDA margin despite stable revenue points to high staff intensity or inefficient processes. That is where AI can come in.

Second, revenue development over several years shows whether the company is fundamentally healthy or already caught in a downward spiral. An AI roll-up works best for companies with stable or slightly growing revenue and below-average margins. The AI transformation then lifts the margin without the need for a turnaround.

Digital footprints: gauging technological maturity

ProxDeal enriches company profiles with website data and digital metrics. When assessing AI roll-up targets, this information is an indirect but highly relevant indicator of the level of digitalisation. (More on this in the next section.)

Business model analysis as the key to determining AI potential

Not every company is equally suited to AI transformation. The decisive factor is the business model. Here, ProxDeal goes far beyond traditional industry classifications: for every company profile, the platform analyses the business model in detail, identifies USP highlights (that is, the key unique selling points and strengths), assigns the relevant customer segments and links this information with financial metrics and digital profile data. This combination provides a sound basis for precisely assessing a target’s AI potential.

USP highlights: what makes the company special?

ProxDeal automatically extracts and structures a company’s key unique selling points. Which particular capabilities, certifications, technologies or market positions set the company apart? These USP highlights are relevant to AI roll-up investors for two reasons. First, they show whether a company has defensible competitive advantages that will endure after the acquisition. Second, they give clues about the nature of its value creation: a company whose USP is based on expertise and personal advice has a different AI profile from one whose strength lies in standardised processes and economies of scale. The automated USP analysis saves hours of manual research that investors would otherwise have to spend evaluating individual company websites.

Customer segments: who are the customers?

Alongside the business model itself, a target’s customer structure is a critical valuation factor. ProxDeal identifies a company’s relevant customer segments: does it serve consumers (B2C), business customers (B2B), public-sector clients or a mix? Does it operate mainly regionally or beyond its home region? Does it target SMEs or large corporations?

This information matters for assessing AI roll-up targets on several levels. B2B service providers with SME customers are particularly well suited to AI-enabled scaling, because customer relationships are more standardised and processes more homogeneous. Companies with public-sector clients offer stable revenue but are often subject to regulatory requirements that can slow down AI integration. ProxDeal’s customer segment analysis lets you take these differences into account systematically as early as the screening phase.

The business model in detail: from industry code to value creation logic

ProxDeal not only shows which industry a company operates in but also analyses its specific value creation logic: is it a project-based business, a retainer model, a marketplace or a platform? Does the company generate revenue from one-off orders, recurring contracts or licence-based models? This business model analysis goes well beyond the WZ industry code and gives investors the assessment they actually need to evaluate the AI lever.

Services vs. products: where is the biggest lever?

Pure service companies usually have the highest AI transformation potential, because their value creation is based primarily on human working time. Every automated hour goes straight to the margin. Product companies benefit too, but the lever lies more in optimising supply chains, quality control and sales than in the core offering itself.

ProxDeal lets you assess the nature of a company’s business model. The combination of industry code, the description of activities in the commercial register (Handelsregister) and website analysis reveals whether a company primarily provides services, manufactures products or pursues a hybrid model.

Recurring vs. one-off revenue

For AI roll-ups, companies with recurring revenue (maintenance contracts, retainers, subscriptions) are particularly attractive because they offer predictable cash flows and customer retention is already built into the business logic. AI amplifies this effect: automated, proactive account management increases retention further.

ProxDeal’s data on revenue structure and industry classification makes it possible to assess whether a company works on a project basis or has recurring revenue models. An IT managed services provider naturally has a higher share of recurring revenue than a project-based IT services firm. This distinction is essential when valuing roll-up targets.

Staff intensity as a proxy for automation potential

Revenue per employee is one of the best indicators of a company’s automation potential. A tax advisory practice with €2m in revenue and 20 employees (€100,000 per head) has a fundamentally different profile from a software company with €2m in revenue and 5 employees (€400,000 per head).

Low revenue per employee signals high staff intensity and therefore high automation potential. ProxDeal provides both revenue and headcount data, making this metric calculable for every single company in the database.

Customer concentration and dependencies

Another aspect of business model analysis: how diversified is the customer base? A company that generates 60% of its revenue from a single major customer is a riskier roll-up target than one with 200 evenly distributed customers. ProxDeal’s data on company size, industry environment and regional distribution helps you assess such concentration risks indirectly.

Assessing the level of digitalisation: ProxDeal as a proxy

For AI roll-ups, a target’s level of digitalisation is a double-edged sword: low digitalisation means high transformation potential, but also greater integration effort. High digitalisation means less effort, but also less margin leverage. The sweet spot lies in between.

Across several data layers, ProxDeal provides indirect but reliable indicators of a company’s level of digitalisation.

Website technology stack

Analysing a company’s website lets you draw conclusions about its technological maturity. Does the company use a modern CMS? Does it have a responsive website with SSL encryption, integrated booking systems or customer portals? Or is it a static HTML page that has not been updated since 2014?

This information is not a perfect indicator of internal digitalisation, but the correlation is strong. A company that invests in its digital presence is more likely to have digitalised its internal processes as well than one that still advertises a fax number on its homepage.

Social media presence as an indicator of digitalisation

A particularly revealing indicator of a company’s digital maturity is its presence on social media. ProxDeal automatically lists a company’s profiles on social networks such as LinkedIn, Facebook, Instagram and other platforms. This enables a quick assessment without having to research each profile manually.

When assessing AI roll-up targets, this information is valuable in several ways. A company with a well-maintained LinkedIn company page, regular posts and an active employee base on the platform is very likely to be more digitally savvy than one with no social media presence at all. At the same time, an active social media presence points to a basic understanding of digital communication channels, which makes it easier to integrate AI-powered marketing and automated customer engagement later on.

Conversely, companies without a social media presence are not automatically unattractive. Especially in B2B sectors such as the skilled trades or technical services, a lack of social media activity is the rule rather than the exception. For the AI roll-up investor, this signals additional upside: after the acquisition, the AI-powered platform can also systematise digital visibility and customer acquisition through social media channels.

Digital visibility and online presence

Beyond social media profiles, ProxDeal captures further digital footprints: how visible is the company in search engines? Are there reviews on industry portals? Does it have a Google Business Profile? These data points complete the picture and correlate with the general level of digitalisation. A trade business with an active Google Business Profile, online appointment booking and a social media presence is more digitally mature than one that can only be found through phone directory listings.

Industry-typical level of digitalisation

ProxDeal enables industry comparisons. Within an industry, you can identify companies whose digital set-up is below average compared with their direct competitors. When assessing AI roll-up targets, this relative positioning is more meaningful than the absolute level of digitalisation. A company that is one of the digital laggards in its industry offers the greatest transformation lever.

Software use and technology signals

A technical analysis of company websites can identify the software solutions in use: does the company use a CRM system? Is there identifiable integration of accounting software, project management tools or industry-specific solutions? Technology signals like these show how far internal digitalisation has progressed and how much effort it will take to integrate AI tools.

Product and service analysis for AI roll-up targets

Beyond the business model, a detailed analysis of a target’s products and services is crucial for assessing its AI potential. ProxDeal supports this analysis across several layers of information.

Activity descriptions and business purpose

For every company, ProxDeal contains the business purpose filed in the commercial register, along with supplementary descriptions of its activities. These texts reveal which services a company provides and which sub-markets it is active in. Using the company search in Datafinder, you can search these profiles in a targeted way and draw conclusions about automation potential for your AI roll-up analysis.

An example: a company whose business purpose is “the provision of bookkeeping and tax advisory services” has a different AI potential from one whose purpose is “the development and sale of software solutions for the healthcare sector”. The former benefits from the automation of repetitive tasks, the latter from AI-driven product innovation.

Mapping industries to AI use cases

ProxDeal classifies companies by detailed industry codes. This classification can be systematically linked to known AI use cases. Every industry has typical processes that can be automated with AI. This enables automated scoring: which industries have the highest density of automatable processes? Which companies within these industries have the right size and structure?

Competitive landscape and market position

With ProxDeal’s extensive database, you can also analyse the competitive landscape for every target. How many direct competitors are there in the same region and industry? How large are they? Are there already consolidated players, or is the market evenly fragmented?

For AI roll-ups, this competitive analysis is doubly relevant: on the one hand, it shows how consolidated an industry is (the more fragmented, the better for a roll-up). On the other, it identifies potential competition from other roll-up investors already active in the same market.

The complete workflow: from screening to shortlist

A professional AI roll-up research process with ProxDeal follows a clearly structured sequence.

Phase 1: industry hypothesis and criteria framework

Before starting a search, the investor defines the industry hypothesis: which industry is to be consolidated? The best AI roll-up industries share five characteristics: high fragmentation (no market leader with more than 5% market share), high staff intensity (low revenue per employee), a low level of digitalisation, stable demand and high customer loyalty.

In parallel, the criteria framework for targets is defined: revenue size (typically €1m–€20m), headcount, region, legal form and the desired shareholder structure.

Phase 2: quantitative screening in ProxDeal

In the second step, the defined industry hypothesis is put into practice in ProxDeal. Using the platform’s search and filter functions, you identify all companies that meet the defined criteria. The results list may include hundreds or thousands of companies. That is intentional: the broader the initial screening, the lower the likelihood of missing attractive targets.

Phase 3: qualitative in-depth analysis

The top candidates on the longlist then undergo in-depth analysis in ProxDeal. Here, financial metrics are examined in detail: revenue development, margin structure, equity ratio, gearing. At the same time, the shareholder structure, management profile and digital footprint are analysed.

The aim of this phase is a qualified shortlist of 20–50 companies that both meet the basic financial requirements and show attractive AI transformation potential.

Phase 4: AI potential scoring

Based on the data collected, you should build a systematic scoring model that assigns each target an AI potential score.

ProxDeal’s API lets you retrieve this data programmatically and integrate it into your own analysis models. Investors evaluating several dozen or hundreds of targets at once can fully automate this process.

Phase 5: outreach and initial contact

ProxDeal provides contact details and decision-maker information for direct outreach. The platform offers export functions and templates that support M&A outreach. Particularly in AI roll-ups, where the companies approached are often owner-managed, the quality of the initial outreach is decisive for success. For a comprehensive guide to the entire process, from target identification to acquisition, in the context of entrepreneurship through acquisition (ETA), see our dedicated article.

The best industries for AI roll-ups in the DACH region

Based on current market developments and the data available in ProxDeal, six industries stand out as particularly attractive.

Tax advisory and auditing

The most extreme fragmentation: thousands of owner-managed practices, an acute succession problem, highly repetitive processes (receipt processing, account coding, tax returns). AI can automate a large share of routine tasks. Internationally, the industry is regarded as the textbook case for AI roll-ups.

IT managed services and system integrators

Thousands of small IT service providers serve Germany’s mid-market companies. First-level support, ticket routing, server monitoring and patch management can be automated with AI. Recurring revenue from maintenance contracts ensures predictable cash flows.

Staffing and recruitment

AI-based candidate matching, automated initial outreach, predictive attrition analysis and intelligent interview scheduling offer substantial efficiency gains in an industry dominated by manual work.

Engineering firms and technical planning

A severe shortage of skilled workers meets low digitalisation. AI can speed up planning processes, automate report writing and optimise project management. Valuations are attractive compared with other industries.

Facility management and building services

A large, fragmented market with a high share of routine tasks: workforce scheduling, maintenance management, documentation. AI-powered predictive maintenance and automated dispatching can significantly increase productivity per employee.

Skilled trades and ancillary construction trades

The succession problem is enormous, digitalisation minimal, valuations low. AI can be deployed in dispatching, quote calculation, materials planning and customer service. The industry offers the most attractive combination of a low purchase price and high transformation potential.

Common mistakes in target selection

Even the best data cannot protect you from strategic mistakes. Three pitfalls are particularly common in AI roll-ups.

Overestimating technology potential, underestimating integration effort. A company with a minimal level of digitalisation theoretically offers the greatest AI lever, but in practice implementation often first requires basic digitalisation (ERP system, cloud migration, data cleansing) before AI can be deployed at all. ProxDeal’s digitalisation indicators help you assess this risk early on.

Ignoring cultural fit. Owner-managed companies often have a corporate culture strongly tailored to the founder. If the founder leaves after the sale, the transformation can stall. Analysing the management structure in ProxDeal gives you an indication of whether a company already has a second management tier.

Buying too many companies too quickly. The appeal of a roll-up lies in speed, but without proper integration of each individual company, value erodes. ProxDeal’s systematic screening approach helps you maintain discipline and select only the targets that genuinely fit, rather than relying on volume.

Conclusion: whoever has the data has the edge

AI roll-ups are no longer a theoretical exercise. They are a proven, capital-efficient investment strategy that is particularly attractive in the current market environment. Fragmented industries, a structural succession problem, falling financing costs and the transformative power of AI are opening a window for above-average returns.

The decisive differentiator is not access to capital but the ability to identify the right companies at the right time: companies with a suitable business model, the right level of digitalisation, the best margin expansion opportunities and a shareholder structure that points to a willingness to sell.

This is exactly what ProxDeal is built for. As the only AI-based M&A research platform tailored specifically to the DACH market, ProxDeal offers the data depth required for a well-founded AI roll-up strategy: firmographics, financial data, shareholder information, management profiles, digital footprints and a powerful API for scalable research.

If you start systematic, data-driven research today, you gain a measurable lead over investors who still rely on networks, chance finds and manual research. The targets are there. The data is there. The only question is who finds them first.

ProxDeal is the AI-based research platform for the German-speaking M&A market. With more than 7 million company profiles, financial data, shareholder information and a powerful API, ProxDeal supports M&A advisors, private equity firms, search funds and corporates in data-driven buyer and target research.

Request a ProxDeal demo now.

Frequently asked questions about AI roll-ups