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Stoffel MPC
Stoffel is an open-source, privacy-first runtime framework that uses Multi-Party Computation (MPC) to enable developers to build applications that keep data private during use. The framework includes a Python-style DSL, a compiler, and a secure VM, handling the complex cryptography for use cases like private voting, auctions, and secure data analysis.
Distributed
Description
Stoffel provides a complete privacy runtime framework utilizing Multi-Party Computation (MPC) to keep sensitive data private, even during computation. By decentralizing computation, it eliminates single points of trust and data leaks. The stack includes Stoffel Lang, a Python-styled DSL that allows developers to focus on application logic, a compiler, and the high-performance Stoffel VM for secure execution. This open-source framework is designed to make building privacy-first applications more accessible for use cases such as sealed-bid auctions, private order matching, confidential social apps, secure healthcare data collaboration, and enterprise data comparisons.Grant Funding
VC Funding
None
2025
$0
$1.6M