AI for M&A

NLS-driven AI is uniquely positioned to offload non-value added work in due diligence, negotiation, and integration by deep-diving into transaction-level detail and unlocking actionable insight, all within tight deadlines.

No matter the deal size, no matter the industry, no matter the level of publicity – M&A is difficult, any way you cut it. It varies by industry, but in general M&A has always been a popular strategy for companies looking to add to core competencies or get a foothold in a new market. Savy execs know that it’s rarely a shortcut to organic growth, however. As deal-making gets increasingly complex and competitive, elite M&A teams need the best tools to make the right decisions for their company.

Complex processes are at the heart of M&A. Scientific asset onboarding must be done at lightning speed at the same time as analyses for cultural fit, financial standing, risk factors, etc., and the list goes on and on. The amount of information to process and summarize has always been an obstacle to making informed decisions. Considering that more than half of enterprise data is unstructured, there simply isn’t time for even the most sophisticated M&A team to review all necessary information, and the amount of unstructured data in company emails, memos, scientific papers, etc. calls for a language-centric approach.

Coseer’s unique algorithm, Calibrated Quantum Mesh, is built specifically for language. It understands language beyond simple keyword search and metadata to build a more complete picture of human thought – complete with all necessary context.

Because there’s no need to spend time or money on SMEs tagging and annotating metadata, NLS-based AI is the perfect tool for M&A. With very quick deployment time and accuracy ranges between 95-98%, M&A teams can get transaction-level insight and high-level summary data within the timespan necessary to take action, even in the notoriously short decision-making window.

You can learn more by setting up a call with us here.