DPella's achievements on DAPSI programme
Updated: Sep 5
When we started DAPSI, DPella was a recently created startup. We feel that we made tremendous progress on the business side and laid the foundations of our sofware solution.
Large amounts of data are being collected about individuals by a variety of systems. Much of the collected data is private: it contains details about individuals and their behaviour. Privacy concerns about individuals restrict the way this information can be exploited, monetized, or released, where utilizing individuals’ data is therefore curbed for ethical, legal, or business reasons. Ensuring data privacy is a hard problem. It cannot be achieved with a few hacks or as an afterthought. We believe that data privacy needs to be approached in a principle and scientific manner by using mathematics to provide strong guarantees – and this is the philosophy that we follow as computer scientists who are experts in the topic. In this project, we will work with our privacy-enhancing technology DPella, a tool that perturbs data analyses’ results with carefully calibrated randomized noise to protect the privacy of individuals with mathematical guarantees, while providing information about the accuracy of the results. This project explores the possibilities for our technology to enable governments and companies to produce open, secure, and public data analyses from private datasets. We expect to start liberating the insights provided by private data; insights that otherwise would remain close due to privacy restrictions.
ACHIEVEMENTS FROM THE FIRST PHASE OF THE DAPSI PROGRAMME
When we started DAPSI, DPella was a recently created startup. We feel that we made tremendous progress on the business side: we determined addressable markets, a market segmentation, go-to-market strategy, and performed a competitor analysis. We have had conversations with companies in the Nordics, and we recently signed an NDA to do a proof-of-concept – a significant milestone for DPella! On the technical aspect, we laid the foundations of a software product capable of running in-house or in the cloud. DPella’s engine is built using the latest programming language techniques to ensure its correctness – privacy is something not to get wrong.
ACHIEVEMENTS FROM THE SECOND PHASE OF THE DAPSI PROGRAMME
The second phase helped us to focus on more strategic matters regarding software and business development.; we also had more in-depth coaching sessions to understand what prospective customers and investors expect from us. We partnered with GU Ventures, an incubator from Gothenburg University focused on startup spin-offs from academic research. We also incorporated Johan Sköld as a board advisor; he is a serial entrepreneur who advises us in business and investment strategies. Together with DAPSI coaches -Agustin Radu and Pierre Vilpoux, we have had a professional advisor team guiding us in our first successful year of existence. The second stage also gave us a lot more exposition to the outside world. We participated in three sponsored NGI events, pitch competitions, and discussion forums. As a result, we got the changed to refine our value proposition offer, business model, and communication strategy. Importantly, DPella got accepted in the MobilityXlab, an Incubator sponsored by Swedish giants like Ericsson and Volvo – an opportunity that will surely help us keep on growing.