Solutions for Data Sharing Dilemmas
We are a non-profit research foundation developing infrastructure for a sustainable, collaborative global economy. Our current focus is enabling the flow of trusted data across organizations.
In our research, we combine privacy-preserving computation with governance frameworks for digital commons to transform collective action problems into collective action.
We develop open-source tools for Secure Multi-Party Computation (MPC) — a class of cryptographic protocols that allow multiple parties to jointly compute a function over their inputs, without any party revealing its data to the others. Our stack is written in Rust and designed for real-world deployment:
| Project | Description | |
|---|---|---|
| Polytune | Maliciously-secure MPC engine using authenticated garbling. Full threshold security — data stays private even if all but one participant collude. |  |
| Garble | A Turing-incomplete programming language that compiles high-level MPC programs into optimized Boolean circuits. Write expressive computations in a Rust-inspired language; Garble handles the cryptography. |  |
Supply chains account for over 80% of most products' carbon footprints. Reducing emissions requires data sharing across organizational boundaries — but competitive concerns make this hard. We build the protocols and tooling that make it possible:
| Initiative | Role | Adoption |
|---|---|---|
| PACT | As the Founding tech partner to WBCSD's PACT, we built the technical specifications, an interoperability standard, for product carbon footprint exchange. The tooling is actively maintained and open source. | 35+ implementing solutions |
| iLEAP | An open protocol for logistics emissions data exchange that SINE co-sponsors together with the Smart Freight Centre. We run the certification program. | 15+ implementing companies |
Privacy-preserving computation has applications well beyond supply chains. In the ATLAS project, funded by the German Federal Ministry of Research, Technology and Space (BMFTR), we explored how MPC can enable cross-agency data analysis while respecting strict privacy regulations — including use cases in preventative healthcare, early childhood support, educational assessment, and disaster protection planning.
In the ÖPGV project, we are helping German municipalities collaborate on data management — building a public platform that enables cities and GovTech companies to share data inventories, identify use cases, and accelerate digitalization without duplicating effort.
SINE Foundation e.V. · Berlin · Last updated March 2026 · Impressum