Artificial Intelligence in M&A target Sourcing

Mitigate risk, enhance multi-factor models, and identify M&A targets with a model that predicts companies more likely to be acquired

In today's vast landscape of algorithms, this article predicts the thriving and surfing waves of AI and ML!

With the AI/ML, driven M&A Target model, you get access to the first commercially available model that uses a large language model to rank potential merger and acquisition (M&A) targets within the next 12 months for over 36,000 public companies

The model is global, but it accounts for different levels of acquisition activity by region and allocates a greater probability for sectors experiencing a wave of activity.

How does the model work?

This M&A Target model uses a large language model on various global databases textual content, with machine learning on fundamental point-in-time data sets and credit profiles. The model has two components that separately analyze industry-leading structured and unstructured data to deliver a best of the breed ranking.

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