BiggerDecisions · Project

Analyze Confidential Data Without Ever Seeing It — Privacy-Preserving Analytics as a Service

digitalMarket-readyTRL 8

sharemind.cyber.ee

Imagine you and a competitor both have customer data that would be incredibly valuable if combined — but neither of you wants to show the other your numbers. Sharemind is like a blindfolded accountant who can do the math on everyone's data without ever peeking at any of it. The technology uses secure computation so that multiple parties can jointly analyze sensitive information while keeping their individual data completely private. It's already been tested with real customers and is being packaged as a cloud service companies can plug into.

By the numbers

€120 billion

Potential European GDP improvement from greater data-driven decision-making by 2020

Piloting customers who validated Sharemind in operational environment

250

Customer leads identified for post-project commercialization

Prospects in active sales negotiations at time of proposal

€94 million

Projected revenue target for 2021 under business strategy

EUR 1,281,437

EU contribution to the BiggerDecisions project

90%

Share of world's data created in the last two years (at time of writing)

The business problem

What needed solving

Companies, governments, and researchers are sitting on mountains of valuable data that could drive better decisions — but privacy regulations, business secrecy, and mutual distrust prevent them from combining or sharing it. The result is lost productivity, missed insights, and an estimated €120 billion in unrealized GDP potential across Europe. Organizations need a way to extract value from sensitive data without exposing it.

The solution

What was built

The project delivered Sharemind-as-a-Service: a live cloud prototype that lets organizations quickly provision the Sharemind secure computation platform via public cloud and start analyzing confidential data without exposing it. This was built on top of an already TRL7-validated core product tested with 5 piloting customers.

Audience

Who needs this

Hospital networks and pharma companies pooling patient data across institutions under GDPRBanks and insurers running cross-institutional fraud detection without exposing customer dataNational statistics offices combining confidential government datasets for policy analysisMarketing analytics firms merging consumer data from multiple sources without privacy violationsSupply chain consortia needing shared logistics data analysis while protecting trade secrets

Business applications

Who can put this to work

Healthcare & Pharmaceuticals

enterprise

Target: Hospital networks and pharma companies needing to pool patient data for research

If you are a hospital network or pharma company struggling to combine patient data across institutions due to GDPR restrictions — this project developed Sharemind, a secure computation platform validated with 5 piloting customers (TRL7) that lets multiple organizations analyze pooled confidential data without any party seeing the other's raw records. This means you can run cross-institutional studies and drug efficacy analyses without a single patient record leaving its source.

Financial Services & Banking

enterprise

Target: Banks and insurance companies needing cross-institutional fraud detection or risk analysis

If you are a bank or insurer that needs to detect fraud patterns across institutions but cannot share transaction data due to business secrecy and privacy regulations — Sharemind extracts useful insights from private data without exposing it. The team identified 250 customer leads and had 30 in active sales negotiations, showing strong market pull. Joint anti-money-laundering or risk scoring becomes possible without revealing your customer base to competitors.

Government & Public Sector

enterprise

Target: National statistics offices and government agencies combining data across departments

If you are a government agency that needs to combine tax records, health data, and employment statistics to make better policy decisions — but legal barriers prevent data sharing between departments — Sharemind enables data-driven decision-making across confidential datasets. The EU contribution of EUR 1,281,437 funded the development of Sharemind-as-a-Service, a cloud-deployable version that lets agencies quickly provision the platform without heavy infrastructure investment.

Frequently asked

Quick answers

What does Sharemind cost to deploy?

Specific pricing is not disclosed in the project data. However, the project built a Sharemind-as-a-Service cloud model, which typically means subscription-based pricing rather than large upfront licensing fees. Contact Cybernetica AS directly through their website (sharemind.cyber.ee) for current pricing.

Can this handle enterprise-scale data volumes?

The objective states Sharemind was validated in an operational environment with 5 piloting customers at TRL7. The BiggerDecisions project specifically aimed to remove limitations to global scale-up, and the deliverable — Sharemind-as-a-Service — uses public cloud provisioning, which suggests it is designed for scalable deployment.

What is the IP and licensing situation?

Sharemind is developed and owned by Cybernetica AS, an Estonian SME that was the sole consortium partner. As a single-company SME Instrument project, all IP remains with Cybernetica. Licensing terms would need to be negotiated directly with them.

How does this help with GDPR compliance?

The project objective explicitly identifies GDPR enforcement (2018) as a key market driver, noting it requires a level of data privacy and security beyond what most organizations currently manage. Sharemind addresses this by enabling data analysis without exposing the underlying personal data, which directly supports data minimization principles under GDPR.

How mature is this technology?

At the start of the project, Sharemind was already at TRL7 (validated in operational environment). The project aimed to commercialize and scale the product, delivering a live Sharemind-as-a-Service prototype on public cloud. With 250 identified customer leads and 30 in sales negotiations, this was near market-ready by project end.

How does Sharemind integrate with existing data infrastructure?

The Sharemind-as-a-Service deliverable was designed for quick provisioning using public cloud infrastructure. Based on available project data, the platform collects information about product usage, suggesting a managed service model rather than requiring deep integration into existing systems.

Consortium

Who built it

This is a single-company project by Cybernetica AS, an Estonian SME, funded under the SME Instrument Phase 2 — one of the EU's most competitive funding schemes reserved for high-growth-potential companies with near-market innovations. The 100% industry composition and sole-partner structure mean there is no academic middleman: the company that built the technology is the same one selling it. Cybernetica received EUR 1,281,437 in EU funding specifically to scale their Sharemind product for global markets. For a business buyer, this is a positive signal — you are dealing directly with the technology owner and commercial operator, not a research consortium that still needs to figure out who commercializes what.

CYBERNETICA ASCoordinator · EE

How to reach the team

Cybernetica AS is an Estonian cybersecurity SME. Their Sharemind product team can be reached through sharemind.cyber.ee.

Order a report on this consortium See CYBERNETICA AS profile →

Next steps

Talk to the team behind this work.

Want a warm introduction to the Sharemind team at Cybernetica? SciTransfer can connect you directly with the right person and brief them on your specific data privacy challenge before the call.

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