FOR INFORMATIONAL PURPOSES ONLY.
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While the use of data is a great advantage,
relating risks and issues often are underestimated.
Complex Handling
Low Trust & Monetization
Increasing Hacks & Leaks
Rising Fines
GDPR
CLOUD Act
Free Flow of Data
ePrivacy (2020)
Tedious Consent Mgmt.
Refusing Consumers
Ceasing Consumer Profiles
Privacy requirements dramatically impact an organization’s strategy, purpose and methods for processing personal data.
- Gartner 2019
Businesses realizing their needs for breaking new data grounds.
Decentralized solutions creating ways for accessing information across whole value chains and beyond. Chance to skip middle-men for efficient insights, particularly from consumers.
The sentiment for more data ownership and privacy is increasing through recent scandals. Participants need to be empowered to control the ownership and usage of their data.
Sharing data securely opens to collaboration. Collaboration is the fundament of trading and interaction. Capability to share provides more value than owning data.
PrivTech: The methods of protecting data in accordance with the law while minimizing possession of personal data without losing the functionality of an information system.
COLLECT
INTEGRATE
ENCRYPT
EXECUTION HANDLED BY OUR ANALYSIS PROCESSING ENTITY (APE)
NO RAW DATA
ONLY ANALYTICS RESULTS
The APE is a core component in all our products and part ouf our patent-pending technology. It receives encrypted data and manages the secured processing of analyses within a Trusted Execution Environment.
Our technology allows the creation of an open platform where data producers, plug-in providers and data analysis buyers come together. Everybody can participate, and every participant can take on any role.
These can be individuals as well as companies, who can enhance their privacy while sharing insights with others. You stay in control while benefiting from your data yourself, and providing additional value to others at the same time.
Get the story the numbers are telling, utilizing a growing pool of decentralized information and high-quality analysis algorithms. Data analysis results can be requested on a regular basis or on demand, without the need for costly data management. The cost of executing an analysis process is transparent and fair.
Plug-in providers are data scientists and analytics experts who develop algorithms to gain insights. The technology will provide an open platform for everybody, naturally rewarding the best plug-ins. This leads to high-quality results and paves the way for new kinds of data analysis, combining multiple types of data and giving data analysis newcomers a fair chance to develop their business.
