An international M&A advisor used ISTARI’s webAI to identify highly specific software companies in Germany. By automating regional company analysis, they reduced manual research time by 95%, improving accuracy and accelerating acquisition strategies.
Inefficient and unreliable company research for M&A
An internationally active corporate finance and M&A boutique needed an efficient method to identify comparable software companies in Germany for a potential acquisition. Traditional search engines required time-consuming manual research, while other automated tools often lacked precision and up-to-date information. The client had to find companies not just in the same industry, but also comparable in terms of service portfolio, customer structure, and team size — all of which were vital for well-informed buy-side decisions.
Automated market analysis with webAI
ISTARI applied its webAI technology to scan the DACH region and evaluate relevant companies against highly specific criteria. From a database of over 40 million companies worldwide, we extracted detailed information on service portfolios, customer base, client references, and team characteristics. Within just three 90-minute collaboration sessions, we jointly refined the analysis and produced a high-quality shortlist of comparable companies. This would have taken several days of manual effort without AI-powered automation.
Faster, more accurate market research for competitive advantage
By automating market research, the client reduced manual efforts by up to 95% while gaining more reliable and comprehensive insights. Instead of spending days sifting through company information, they were able to quickly identify highly relevant firms and assess them in detail. Beyond simple identification, webAI provided structured insights into aspects such as whether companies served large clients and which service offerings they emphasized. This transformed market research into a strategic asset — faster, more precise, and more powerful, giving the advisor a clear competitive edge in identifying acquisition opportunities.
