If you are a bank or insurer dealing with fraud detection across institutions — this project developed cryptographic protocols for privacy-preserving data analytics that let multiple parties jointly analyze patterns without exposing individual customer records. The tools went through 3 versions of refinement across 44 deliverables and were deployed in the Data Market Austria platform.
Privacy-Preserving Tools That Let Companies Share and Value Data Without Exposing Secrets
Imagine you have valuable customer data but you're terrified of sharing it — with partners, suppliers, or data marketplaces — because a leak could destroy your business. Safe-DEED built encryption tools that let companies analyze and trade data without ever revealing the raw information underneath. Think of it like a secure envelope that lets someone read the summary on the outside without opening the letter. They also built a tool that helps you figure out how much your data is actually worth, so you're not leaving money on the table.
What needed solving
Companies sit on valuable data they cannot monetize because sharing it risks exposing trade secrets, customer information, or competitive intelligence. Without knowing what their data is worth, many organizations either hoard it uselessly or give it away too cheaply. The data economy is stuck because trust and valuation tools are missing.
What was built
A software library of cryptographic building blocks for privacy-preserving data analytics (3 versions), a Big Data Valuation component deployed in the Data Market Austria marketplace (2 versions), secure lead-time based pricing protocols, and an interactive web app for designing privacy-preserving business models.
Who needs this
Who can put this to work
If you are a pharma company or hospital network struggling to share clinical data for research while staying GDPR-compliant — this project built privacy-preserving analytics protocols and a Big Data Valuation component that lets you quantify the value of your datasets. The 8-partner consortium across 6 countries specifically designed these tools for real data marketplace deployment.
If you are a manufacturer needing to share lead-time or pricing data with supply chain partners without revealing your cost structure — this project developed secure lead-time based pricing protocols and a business model decision support web app. These tools help you design data-driven business models while keeping sensitive commercial information confidential.
Quick answers
What would it cost to implement these privacy tools?
The project itself received EUR 2,996,400 in EU funding across 8 partners over 3 years. The cryptographic building blocks are delivered as a software library with documented interfaces. Licensing terms would need to be discussed directly with the consortium lead, Know-Center in Austria.
Can these tools handle industrial-scale data volumes?
The Big Data Valuation component was specifically built for and deployed in the Data Market Austria, a real-world data marketplace. The cryptographic protocols went through 3 iterative versions (v1, v2, v3), each improving scalability. However, performance benchmarks for specific data volumes would need to be confirmed with the development team.
What is the IP situation — can we license these tools?
The consortium includes 3 industry partners and 2 SMEs alongside research organizations. The cryptographic library and valuation tools were developed as deployable components. IP ownership and licensing options should be discussed with Know-Center Research GmbH, the Austrian coordinator.
How does this help with GDPR compliance?
The privacy-preserving analytics protocols allow data analysis without exposing raw personal data, directly addressing GDPR data minimization requirements. The business model decision support tool helps companies design data-driven models that are privacy-preserving by design.
How mature are these tools — are they ready to use?
The project delivered 3 versions of the cryptographic protocols and 2 versions of the Big Data Valuation component, with the final versions deployed in the Data Market Austria. A working interactive web app for business model design was also completed. These are beyond prototype stage.
Can these integrate with our existing data infrastructure?
The cryptographic building blocks are delivered as a software library with a documented API interface. The Big Data Valuation component was designed to plug into the Data Market Austria platform. Integration with other systems would depend on your specific architecture.
Who built it
The Safe-DEED consortium brings together 8 partners from 6 countries (Austria, Belgium, Germany, Greece, Spain, Netherlands), with a solid 38% industry ratio — 3 industry partners and 2 SMEs alongside 2 universities and 3 research organizations. This mix means the tools were built with real commercial input, not just academic theory. The coordinator, Know-Center Research GmbH in Austria, is a research center specializing in data-driven business, and the deployment into Data Market Austria shows direct commercial application. For a business looking to adopt these tools, the multi-country consortium means the solutions were designed to work across European regulatory environments.
- KNOW CENTER RESEARCH GMBHCoordinator · AT
- INFINEON TECHNOLOGIES AGparticipant · DE
- NOVA TELECOMMUNICATIONS SINGLE MEMBER SAparticipant · EL
- RESEARCH STUDIOS AUSTRIA FORSCHUNGSGESELLSCHAFT MBHparticipant · AT
- FUNDACIO EURECATparticipant · ES
- KATHOLIEKE UNIVERSITEIT LEUVENparticipant · BE
- TECHNISCHE UNIVERSITEIT DELFTparticipant · NL
- LSTECH ESPANA SLparticipant · ES
Know-Center Research GmbH, Austria — a data-driven business research center. SciTransfer can facilitate an introduction to the right technical contact.
Talk to the team behind this work.
Want to explore how Safe-DEED's privacy-preserving data tools could work for your organization? SciTransfer can arrange a direct conversation with the development team and help assess fit for your specific use case.