Frequent Asked Questions

   Artificial intelligence (AI) offers a number of benefits for mergers and acquisitions (M&A), including:

• Increased efficiency: AI can automate many of the tasks involved in M&A, such as identifying and vetting potential targets, conducting due diligence, and negotiating deals. This can free up human resources to focus on more strategic aspects of the process.
• Deeper insights: AI can analyze large amounts of data to identify patterns and trends that would be difficult or impossible to obtain manually. This information can help M&A teams make better decisions about which targets to pursue and how to structure deals.
• Reduced risk: AI can help to identify and mitigate potential risks associated with M&A deals. For example, AI can be used to assess the target company’s financial health, competitive landscape, and cultural fit.
• Improved outcomes: By automating tasks, generating insights, and reducing risk, AI can help M&A teams achieve better outcomes from their deals.

Overall, AI is a powerful tool we use to improve the M&A process in a number of ways. By automating tasks, generating insights, reducing risk, and matching buyers and sellers. Ultimately, our AI System helps our M&A teams achieve better outcomes from our clients’ deals.

Here are some specific examples of how our AI System is being used in our M&A operations:

• Identifying and vetting potential targets: AI-powered platforms can scan large databases of companies to identify potential targets that are a good fit for the acquirer’s strategic goals and financial criteria.
• Conducting due diligence: AI-powered platforms can automate many of the tasks involved in due diligence, such as reviewing financial statements, legal documents, and customer contracts. This can help to save time and identify any potential risks or red flags early on.
• Negotiating deals: AI-powered platforms can analyze historical deal data and other factors to generate a fair value range for the target company. They can also be used to identify potential deal breakers and develop strategies to mitigate them.
• Developing value creation plans: AI-powered platforms can help to develop value creation plans that outline how the acquirer will achieve its strategic goals following the acquisition.

Overall, AI is a powerful tool we use to improve the M&A process in a number of ways. By automating tasks, generating insights, reducing risk, and matching buyers and sellers. Ultimately, our AI System helps our M&A teams achieve better outcomes from our clients’ deals.

Our AI Algorithms, Code, System Resources, and Infrastructure Model were custom-designed by our team exclusively for our company’s needs. The entire technology is maintained secretive and cautiously kept away from curious eyes. It is a true trading secret that we have no intention to patent any time soon because it would require exposing some of our secret sauce and exclusive implementations, facilitating competition to debug and reverse engineer our AI System secrets.

Our AI System lives and runs in our exclusive custom-design and proprietary infrastructure. It also benefits our client’s data security, which is maintained encrypted in our own infrastructure behind highly effective firewalls and other security layers.

No. Quite the opposite. Not only the AI allow us better serve our clients and identify better deals for them, but also it requires us to expand our business towards new horizons, going deeper than most in the technology and big data market segments, and also expanding in the M&A capacity, allowing us to bring more people in, and some times, better identify the ideal team of agents to handle certain specific transaction due to previous successes and experiences. 

AI makes the process more streamlined and, consequently, faster and cheaper for our clients. Nevertheless, the real gain in dealmaking, as both, buyers and sellers, benefit from the incredibly more accurate deal, not only more adequately priced but also highly prone to success thanks to the AI’s extra level of evaluation and vast data review beyond humans are able to achieve the without AI help.

Not only faster, but much more accurately as well. On the other hand, the M&A Teams commonly end up with a much wider set of data points to correlate and validate before complete the deal proposal.