The M&a Compass

The M&A Compass is an AI-driven M&A market intelligence platform that produces predictive analytics to forecast the M&A intentions of companies. The platform uses machine learning models and highly granular business classifications to deliver forward-looking insights that radically improve M&A strategies for both buy-side and sell-side transactions. Core Technology & Innovation: • Predictive Analytics Engine: Uses machine learning models (developed via an AutoML platform) to predict which industry themes companies will likely acquire or divest based on their historical M&A activity • Industry Theme Mapping: Employs highly granular business classifications where themes can represent niche markets, technologies, product types, or multi-industry concepts (e.g,"Climate Tech,""IoT") • Knowledge Graph Architecture: Built proprietary RDF knowledge graphs integrated with DBpedia to structure M&A market relationships • Proven Accuracy: Initial ML models achieved 87.59% and 86.37% prediction quality (measured by area under the ROC curve) Key Differentiators: 1. Automated Buyer/Seller Identification: Algorithms replicate expert M&A research methodologies but apply them across the entire market instantly—transforming hours of manual research into seconds 2. Forward-Looking vs. Backward-Looking: Unlike traditional M&A databases that show historical transactions, The M&A Compass provides a "lens into expected M&A"—predicting future M&A intentions and emerging trends 3. Theme-Based Analysis: Precise search by industry theme rather than inaccurate standard industry classifications and keywords used by legacy databases Business closed in September 2024. We are actively looking for partners to develop an updated version of our AI-based predictive analytics for the M&A markets.