How do we Extract the Value of Your Data Without Compromising Your Privacy?

Extracting the value of data without compromising privacy is our core mission. How do we do this?

Tech Structures Ensuring Privacy

Metrics are shared in aggregate form. For example “20% of Budapest eats cereal for breakfast”, rather than “that guy over there just ate cereal this morning”. Raw data is always owned and handled by the individual.

Additionally, the physical storage of raw data is pushed as much as possible onto a personal hard drive or phone. The databases containing the raw data are encrypted with a double encryption key meaning that the user will always have a password which Innit cannot override.

During this project, once a critical mass of users is built we would like to introduce reverse cryptanalysis. This is a technique where noise raw data is introduced that does not interfere with the averages i.e. the aggregate metrics. Noise raw data will make it more difficult to reverse engineer the data through deduction.

Legal Structures Ensuring Privacy

Lastly, the legal structure is specifically designed to maintain privacy. If the software were to be placed in a B.V. the shareholders introduced at a later stage could influence the privacy settings. This is why the software is held in a co-op which is co-owned by the data users themselves. The advisory board of the co-op is in place to provide credibility and enact the wishes of the users. The function of the Foundation is to produce the metric. The metric then passes to the BV whose function is to commercialise the metric. In this way, the co-op does not become dependent on donations which can, in turn, also influence the privacy settings. The Foundation BV twin structure brings the best of both worlds: financial sustainability while maintaining the core principle. There are very clearly defined agreements between the parameters of the relationship between the BV and the Foundation, and the Foundation and the user.