A number of core beliefs drive much of what we do and the way in which we do it.
The vast data economy is not really benefitting the individuals who are the data subjects. Data is often poor quality, meaning the market runs on low
Data protection is mainly based on imprecise definitions and understanding of Consent. Data sharing ‘contracts’ are clearer and legally enforceable.
AI can, and will, make the use of personal data more invasive. However, it also provides huge opportunities for harnessing data to serve the data subjects.
Regulation is not fully working for anyone. It results in non-productive effort for organisations and individuals. Mutual data trust, if built, will help dramatically.
Most technologies to store, control and exploit personal data have been deployed by organisations. More is needed to support individuals.
Even with increasingly accurate targeting, customers want to be able to trigger their own purchases, by ‘publishing’ their purchase intentions
Our Solutions are underpinned by leading edge technology and patented data exchange protocols.
Only the individual can manage their own data. Even DataPal cannot access it.
Every exchange of data to or from individuals happens via the patented, cryptographically signed, verifiable JLINC Labs Internet Protocol.
Standardised, mutually signed data sharing agreements control access to, and the provision of, personal data.
Individuals create their own Distributed, Digital Identifiers that can serve them for their whole life.
The DataPal architecture and knowledge graph supports the individual’s choice of AI and machine learning tools.
