Target search innovation: 4: massive automation

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There is a heterogeneous landscape of M&A tools. But how do i get the most automation bang for the buck? i found a company that is providing massive automation across all M&A phases. it is the startup corpvision.ai.

Corpvision.ai combines the power of tools in 4 areas: patent intelligence, generative market models, deep supply chain intelligence and ecosystem intelligence. This leads to automation across many tasks of the M&A process. Let us look at the M&A strategy phase and the due diligence phase.
The automation of M&A strategy is shown in the next figure. Corpvision supports finalizing the strategy, finding targets, creating and processing the long and short list of companies as well as evaluation of the fit of a target. This already is impressive, but it does not stop there, automation continues within the next phase of the M&A process, due diligence.

The information generated and used as well as the decisions taken in M&A strategy, are reused in due diligence within the corpvision.ai tools. They can automate due dligence tasks as follows. IP due diligence and IP-related parts of legal due diligence can be carried out partly automated. In addition the valuation of IP is also massively automated.

Continuing in due diligence, all supplier-related tasks can be automated. A multi-tier analysis of suppliers of the target is automated, but you can also analyze the chain of customers downstream or where competitors get their supplies. In go-to-market (GTM) due diligence, the generative market model shows its amazing power. Many GTM aspects like analyzing markets and segments, analyzing customers, reviewing partner channels and their performance as well as other revenue streams are just a few examples.

While i thought aggregation of functionalities for the M&A process would be aggregated in the offerings of data rooms, a new dimension appeared with corpvision. Corpvision aggregates four market-leading tools into one and creates a game-changing automation coverage for the M&A process. This is just the beginning. So far, the tools have been combined to offer automation. More impressive power lies ahead when additional machine learning and AI capabilities are added over time.

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