Team

Private capital technology entrepreneur with deep roots in alternative investment operations. Built financial technology platform serving over 10,000 commercial real estate assets. Founded Equiforte to eliminate the manual reporting burden that costs fund finance teams weeks every quarter. Brings a practitioner's understanding of what CFOs and controllers actually need from their data and deep domain AI expertise.

15+ years building and scaling enterprise finance platforms. Has delivered mission-critical systems for Silverstein Properties, First Data, Square, and Medicare. Served as VP of R&D through a Wix acquisition. Holds an MSc in Computer Science from Tel Aviv University with published research in machine learning. Leads Equiforte's AI infrastructure and model integration strategy.

10+ years in revenue leadership across AI and SaaS platforms. Focused on helping private equity firms move from AI experimentation to enterprise deployment. Brings a direct understanding of how technology buying decisions are made at the GP level, and what it takes for a new platform to earn trust with institutional finance teams.

With over 20 years of experience across capital markets and technology, Michael works closely with private equity CFOs and finance teams to apply artificial intelligence to portfolio monitoring and operational performance. He focuses on helping firms surface performance variance earlier, automate financial analysis, and bring greater consistency and rigor to how portfolio data translates into actionable insight. Michael specializes in operationalizing advanced AI systems into disciplined, repeatable workflows that align with how finance teams operate across complex portfolios. His background includes building and scaling revenue platforms in environments where data, speed, and precision directly impact outcomes. At Equiforte, he partners with finance leaders to embed AI into the core of portfolio oversight, enabling more proactive management and better-informed decision-making at scale.