How Artificial Intelligence Rapidly Accelerates M&A Processes
With delphai, our users can identify potential customers, competitors and acquisition targets with maximum efficiency. Instead of weeks of manual work, it only takes minutes with our AI. Similar to Google, our programs go through the Internet with large “networks” and collect data. Google is of course interested in everything — we are only interested in data on companies. So when one of our programs goes to a conference website, it identifies all the participating companies that attended the conference and stores the data point. We do the same with company websites, job postings, press releases, etc. . — Our Artificial Intelligence then comes into play to make sense of all this unstructured data. We have developed algorithms that can automatically read texts to determine which company and which topic they are about. With these results, the next stage of our Artificial Intelligence then begins to classify organizations and companies by industries, technologies, sustainability and other topics.
For each of these steps, we use our own specific artificial intelligence. The transformation of unstructured data into structured data, the classification of companies, that is done by individual neural networks that have been trained to do exactly that, they can do nothing else. Most of the AIs or AIs we talk about are “Narrow AIs” that can do one thing really well. But as soon as you give them any other task, they are completely lost. For text analytics, we have a neural network that is specifically trained to identify client-supplier relationships. Another neural network is trained specifically for mergers & acquisitions. And yet another finds sales figures from press releases and news articles — even from private mid-market companies.
Customers use our services for different topics. They conduct competitive analyses and generate peer groups automatically, create customer profiles, identify acquisition targets. Until now, this required enormously time-consuming manual and repetitive research — because you have to search Google, websites and other sources to find the latest information and news about a company.
Our customers have access via a subscription model and can perform all data analyses themselves online using the software. We have built the delphai infrastructure in such a way that we can always adapt it. This is also very relevant in the field of AI, because we can also adopt a customer’s market classifications, for example. Our users save costs for management consultants, are faster and more effective.
At delphai, this is a self-service dashboard that runs in the browser. There you can enter search fields or companies absolutely intuitively. On a macro level, clusters of companies are shown, for example: Where are the fleet management software companies located on the map? Or where are the quantum computing companies? Then it is shown how the companies are interrelated. Are there clusters or is this super dispersive? Are there perhaps also — if you look technologically — prevailing industries in which a technology is already being used more frequently today? Or are there “weak signals” because there are only three or four organizations already active in a niche.
In the next step, you have the opportunity to look at these companies with a very detailed and multidimensional view. What do they do? How are they financed? You can also find the peer group directly via the Similarity Search. You see the latest product news, job postings, patents, all of this presented collectively and organized in a tabbed view. In addition, you can trace each data point because delphai stores the sources from which the information was extracted.
Then our users create lists of potential customers, competitors and acquisition targets. Instead of weeks of manual work, however, it only takes minutes. The lists then go to sales people or to buy-side/sell-side customers or business units that select companies for due diligence.
About Dr. Robin Tech
Dr. Robin Tech is CEO and Co-founder of delphai(https://www.delphai.com). In addition, Dr. Tech is a researcher at the WZB and MIT, an advisor to the German Bundestag across several committees, a high-tech coordinator at the German Startup Association, an advisory board member of Blockchain for Science, and a member of the economic advisory board of B90/ Die Grünen.