AI Without the Privacy Risk

Secludy generates privacy-guaranteed synthetic data that mirrors real datasets, letting financial institutions train AI models without exposing sensitive customer information. Built on differential privacy, the platform deploys directly in the customer's own cloud environment — ensuring that raw data never leaves the institution's infrastructure. Co-founded by Ben Cerchio (CEO) and Ming He (CTO), Secludy is purpose-built for banks, fintechs, and regulated enterprises navigating strict data protection requirements.

Compliance by Design

CEO Ben Cerchio previously worked in product privacy at TikTok and InfoSec compliance at PayPal, giving him firsthand experience with the tension between data utility and regulatory constraints. Secludy's synthetic data approach satisfies GDPR, CCPA, and HIPAA requirements by design, removing the compliance bottleneck that blocks most financial AI projects. The $4M seed round was backed by Impression Ventures, LAUNCH, Wedbush Ventures, Precursor Ventures, and Hustle Fund.