SciTransfer
VAULT · Project

Secure Data Processing That Keeps Information Encrypted Even During Analysis

digitalPilotedTRL 7

Imagine having a locked safe where you can still organize and count the money inside without ever opening the door. Usually, to work with data, you have to unlock it, which is when hackers can steal it. This technology lets computers perform calculations on scrambled data so the secret key never has to be revealed.

By the numbers
500 million
data sets tested
22
patents developed
The business problem

What needed solving

Organizations cannot process sensitive data without decrypting it first, creating a window of vulnerability for breaches and regulatory non-compliance.

The solution

What was built

An SDK for encrypted SQL and analytics and an enterprise-ready Encrypted Database-as-a-Service (EDBaaS) platform.

Audience

Who needs this

Cloud service providersHealthcare data managersFinancial compliance officersGovernment cybersecurity agencies
Business applications

Who can put this to work

Healthcare
enterprise
Target: Medical Data Providers

If you are a medical data provider dealing with strict patient privacy laws — this project developed an encrypted database-as-a-service that allows advanced analytics without exposing raw patient records. This ensures compliance with GDPR and HIPAA while enabling research.

Media
mid-size
Target: Digital News Publishers

If you are a digital news publisher dealing with sensitive subscriber information — this project developed an SDK that enables encrypted SQL queries. This allows you to run business reports on your data without risking a leak of private user details.

Finance
enterprise
Target: Cross-border Financial Institutions

If you are a financial institution dealing with multi-party collaboration across borders — this project developed Vaultree Encrypted Data Sharing (VEDS). It allows multiple parties to collaborate on encrypted data without ever sharing the actual decryption keys.

Frequently asked

Quick answers

What is the cost or pricing model for this technology?

Based on available project data, specific pricing details are not provided, but the solution is delivered as an SDK and a Database-as-a-Service (EDBaaS).

Can this be scaled for large industrial datasets?

Yes, the technology has been successfully tested on over 500 million data sets in multi-user environments and includes research into FPGA and GPU acceleration for high performance.

What is the IP and licensing status?

The project developed 22 patents, with 1 granted, 13 filed, and 8 in preparation, protecting the proprietary code and encryption algorithms.

How does this help with legal regulations?

It enables organizations to remain compliant with GDPR, HIPAA, and NIS2 by ensuring data remains encrypted even while being processed.

How is the technology integrated into existing systems?

It provides an SDK that integrates into enterprise systems and supports common databases like PostgreSQL, MySQL, and Google BigQuery.

Consortium

Who built it

The project is led by a single SME, Vaultree Limited from Ireland. This 100% industry-led structure indicates a strong focus on commercial viability and rapid productization rather than academic research, as evidenced by the high number of patent filings and direct industry trials.

How to reach the team

Contact Vaultree Limited in Ireland

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for data-in-use encryption.