Conduct raises $60M Series A for AI-powered legacy IT modernization. Conduct, an AI company focused...

Conduct raises $60M Series A for AI-powered legacy IT modernization. Conduct, an AI company focused on helping enterprises maintain and modernize legacy IT systems, has closed a $60 million Series A funding round. The company uses AI to assist with the ongoing maintenance, change management, and transformation of outdated enterprise technology stacks, a market long characterized by high costs, manual effort, and systemic risk.

Why it matters: This deal fits the emerging pattern of AI-verticalization inside the enterprise, where specialized AI products target the most painful and locked-in legacy workflows. Legacy IT modernization has been a graveyard of failed consulting-led transformations, but Conduct is betting that AI can reduce the labor-intensive discovery, documentation, and migration phases. The round size — large for a Series A but not a capital-cycle outlier — signals that investors see a defensible wedge in the perennial COBOL-mainframe-to-cloud migration market, a segment that hyperscalers have struggled to productize directly.

Our grounded take: Conduct's approach updates the 'incumbent displacement via AI' playbook. The moat here is not foundation-model scale but domain-specific context engineering — mapping an enterprise's bespoke legacy codebase and business logic into machine-readable representations that an AI can safely modify. If successful, Conduct could carve out a new enterprise-AI vertical between low-code platforms and traditional SI services. The real test will be trust and liability: enterprises will require strong guarantees that AI-generated changes don't break critical batch processes or compliance controls. This is a segment-level signal, not a structural shift, but it adds a credible new entrant to the enterprise modernization map.