Stoffel provides a developer toolkit for building privacy-first applications using secure multiparty computation. It allows teams to compile and run computations over secret-shared inputs so that no single party can see the raw data. The platform includes a domain-specific language, CLI tools, SDKs, and a virtual machine that keeps sensitive operations inside a cryptographic boundary, making it suitable for AI/ML, analytics, and key management use cases where data privacy is paramount.
In the Developer Tools space, Stoffel takes a focused approach. It focuses on building applications that compute over sensitive data without ever exposing raw inputs to any single party or server. Stoffel is an open-source project aimed at privacy-focused developers. The project is open source (Apache-2.0). It ships for the command line, and it can be self-hosted.
It is developed by Stoffel, and it first shipped in 2024. Development happens publicly on GitHub with 53 stars and 53 commits in the last 90 days. Among its 5 catalogued features are MPC Compiler, Privacy Tooling, and Secret Sharing.
Summary written by a language model from the project’s public pages.
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