Privacy-first app dev platform using MPC to compute on encrypted data
by Stoffel · stoffelmpc.com · source ↗
Stoffel is a privacy-first app development platform that enables developers to compute on encrypted data using multi-party computation (MPC), allowing secret-shared inputs and explicit outputs while keeping raw data private. It is aimed at teams building privacy-sensitive applications such as AI/ML model training, data collaboration, and key management without exposing underlying user data.
Uses multi-party computation (MPC) to compute on encrypted data Keeps raw data private; nobody sees raw inputs Provides a domain-specific language for defining privacy-preserving logic Production-ready infrastructure, not an academic prototype Enables key generation without a single holder Supports AI/ML model training over shares without pooling data
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