FREQUENTLY ASKED QUESTIONS

What is the business model of MADiscover?

MADiscover provides a platform for generating and managing tailor-made landscapes. Data, roughly filtered from a variety of sources, is consolidated, and all publicly available information from and about this vast number of companies is collected and analyzed.

This process results in comprehensive and objective landscapes, which include dynamic aspects that can be adapted and utilized. With an active subscription, customers have access to all their current and legacy landscapes, as well as example landscapes generated by MADiscover.

Which problem do you tackle?

Searching for potential acquisition targets is typically a very manual, time-consuming, and complex process. Starting from a longlist, information and evaluations from various sources must be gathered and brought into a comparable structure. Whenever new criteria arise or dimensions shift, each company must be re-evaluated individually.

MADiscover digitizes this deal-sourcing process using an algorithm powered by big data analytics and modern AI elements. This enables us to screen tens of thousands of companies based on your individual search criteria — which can also be adjusted dynamically throughout the project.

Which data is gathered?

Based on the results of the onboarding process with you, our algorithm creates an extended longlist, often consisting of tens of thousands of companies. These companies are identified through various company registries and databases.

Once the longlist is set up, all publicly available and scrapable data from the companies’ webpages and subpages is collected.

How is the data analyzed?

Our algorithm translates your specific search and screening criteria into distinguishable language patterns. Throughout the process, we continuously calibrate the algorithm based on your feedback and already identified targets.

The longlist is then evaluated using these language patterns, as the algorithm converts both the frequency and the breadth of their occurrence into numeric scores.

How is the final shortlist provided?

Within the MADiscover platform, a BI dashboard is created, featuring graphs, rankings, and quadrants.

The companies on the shortlist are ranked according to various criteria customized to your needs. This allows you to understand the companies’ profiles and compare them to each other easily. The dashboard also includes general information such as headquarters location, revenue range, and UBO (Ultimate Beneficial Owner). Additionally, you can export the dashboard data for use in any way you require.

Would AI-based databases do it quicker?

Artificial intelligence (AI) relies on both training data and the specific questions it is designed to answer. When it comes to identifying strategic additions, there is no standard blueprint for a company’s search rationale. Simply searching for similarities is not enough — especially when the contextual meaning of "similarity" remains undefined. This individual data analysis is what differentiates MADiscover’s approach from non-contextual AI databases.

Additionally, many AI models tend to align with expected outcomes, inadvertently reintroducing uncontrollable bias through the backdoor.

Why don’t you weigh-in selling probability?

It often turns out that the shareholders' willingness to sell does not necessarily align with the organization's readiness to become part of the prospective buyer. Additionally, being the first to knock on the door is critical to avoiding FOMO-driven auction dynamics.

How is the pricing made up?

With a MADiscover subscription, your project team gains access to the platform.

The pricing for the tailor-made landscapes generated through the platform depends on the size of the extended longlist that is crawled and analyzed.

We do not charge any commissions or hourly fees.

What if we want to change our search scope or criteria along the way?

Throughout the process, adjustments to the strategic rationale can be integrated — for example, if clusters of companies emerge that lead to extensions of the longlist or require adjustments to the algorithm. Such changes are included in the project scope as long as they remain within a reasonable range.

However, if you wish to significantly extend the geographic scope or the relevant revenue range, this would be considered a project extension. Depending on the scope of these extensions, additional costs may apply.