Mingze He is Co-Founder and CTO at Secludy AI, a privacy-tech startup helping enterprises in regulated industries safely unlock proprietary data for GenAI model training. He brings deep expertise in machine learning, data science, and AI-driven innovation to solve one of enterprise AI's most critical bottlenecks.

Mingze holds a PhD in computational biology with a machine learning specialization from Iowa State University, and conducted postdoctoral research at Stanford Research Institute. He also built enterprise AI solutions at Williams-Sonoma, gaining firsthand experience with the challenges of deploying AI on sensitive data.

Mingze identified that fine-tuning AI on sensitive data creates a major risk of leaking PII and proprietary IP, a problem he set out to solve at Secludy. His technical depth in differential privacy and synthetic data generation is central to the company's core platform.

Secludy closed a $4M seed round led by Impression Ventures, with participation from Wedbush Ventures, Precursor Ventures, Hustle Fund, and other notable investors. The company launched its platform in May 2026, targeting banks, payments firms, and fintech companies.

Secludy's platform compresses vendor evaluation processes that typically take months into days, enabling enterprises to train and evaluate AI models without exposing real customer data. With fintech as its initial focus, the company plans to expand into healthcare, life sciences, and other regulated industries.