Differential Ventures

Differential Ventures is a New York-based early-stage venture firm focused on data, AI, and machine learning-native companies, with a thesis emphasizing technical defensibility and applied AI across enterprise software verticals. The firm has historically backed data infrastructure, MLOps, applied AI for vertical workflows, and adjacent technical companies, with selective exposure to healthcare AI when the technical depth is meaningful. For healthcare AI founders, Differential is a credible potential lead or co-lead at seed and Series A if your company is fundamentally an AI infrastructure or applied AI play with deep technical defensibility, ideally with founders who have published research, machine learning patents, or prior senior AI roles at known technology companies. Check sizes typically range from $500K to $3M at seed, with the firm capable of leading and providing meaningful follow-on. The strongest fit is for healthcare AI companies building technical platforms, model infrastructure, or vertical AI applications where the moat is the model and data strategy rather than clinical or regulatory positioning. Founders building therapeutics, regulated diagnostics, care delivery, or commodity SaaS without deep AI defensibility are unlikely to find a fit. The firm’s value-add is most credible around AI technical strategy, model and data architecture, and connecting founders to a network of AI operators and applied research engineers. Entry path is warm referral from a portfolio CEO, LinkedIn outreach to the partners, or the website inquiry form. Founders should come prepared to discuss model architecture, training data strategy, evaluation methodology, and technical roadmap in depth, alongside standard commercial metrics and go-to-market detail.