BAIN USES AI TO REVERSE-ENGINEER TARGET SOFTWARE

The consulting firm has generated numerous rough prototypes in recent years by using artificial intelligence to reconstruct pieces of target companies' software products. This approach accelerates the evaluation of technical assets and market positioning without waiting for full code audits. Private equity groups traditionally conduct extensive software reviews during acquisitions. Bain's AI-driven method compresses this timeline, enabling faster assessment of whether acquired technology justifies purchase prices or needs replacement. The strategy reflects broader adoption of AI tools in M&A processes, where firms increasingly use automation to streamline analysis and reduce manual review overhead. However, the practice raises questions about intellectual property handling and the accuracy of AI-generated recreations versus original codebases. Bain's approach suggests AI coding tools have matured enough to handle complex technical reverse-engineering tasks that were previously labor-intensive, reshaping how private equity conducts software due diligence.