Company Name:


Incubation Round:


Application Track:

Track 3

Challenge Name:

Privacy-preserving analytics for a better workplace

Product Description

DPella’s product is a software tool to create privacy-preserving data insights. Our software allows businesses and organizations to share and exchange analytics while ensuring the privacy of individuals involved in datasets.

The tool is easy-to-use and has an interface for data sharing and discovery, making it simple for organizations to find the data insights they need while maintaining the privacy of their customers, users, or business operational secrets.

DPella is based on Differential Privacy, a state-of-the-art Privacy Enhancing Technology (PETs) with proven privacy mathematical guarantees.

Usage of Standards for data interoperability:

JavaScript Object Notation (JSON)

Representational State Transfer (REST)

OpenAPI Specification (formerly known as Swagger)

Reach Timeline

*Expose phase is open to all Experiment phase teams




eHealth | HR | Mobility


Company maturity:

Pre-MVP and MVP

Investment level:


Funding raised:

< EUR 200,000

Collaboration opportunity:

Legal / Regulatory, Product development, Marketing

Company Description

DPella is a deep tech startup that does privacy-preserving analytics GDPR compliant. It was founded by two professors in computer science –and Alejandro Russo Chalmers University (Sweden) and Marco Gaboardi (Boston University, USA). DPella created to transfer academic research into a technological product, has a Patent pending PCT.

With a Customer-Centric Product development strategy DPella provides customers an outstanding privacy solution with minimum interference in their current data pipeline flow. Customers can benefit from the analytics created with our technology by generating data insights for sharing or monetizing, thus enabling the creation of new revenue streams from existing data.

Involvement in Standardisation Bodies

OpenDP: a community effort to build a trustworthy suite of open-source tools for enabling privacy-protective analysis of sensitive personal data, focused on a library of algorithms for generating differentially private statistical releases.


PhD. Prof. Alejandro Russo

Co-Founder- CEO/CTO. With more than 15 years of experience in security research for building secure systems.

Marco Gaboardi

Cofounder – Chief Scientist. Expert in in Data Privacy. He has 10 years of experience in Differential Privacy, a de facto standard in data privacy.

Arq. Carola Compa

Head of Business. 12 years of experience on the software industry developing solutions B2B

PhD. Elisabet-Lobo Vesga

Lead Privacy Engineer. Expert in building Differential Privacy systems which are correct by construction.

PhD. Agustín Mista

Lead Software Engineer. Expert in Automation-Based Software Testing.