Why BlackBox?

BlackBox is a distributed environment for storing, managing and utilizing encrypted data sets as well as data processing tools, such as machine learning models, neural networks and ETL pipelines.

BlackBox is...

BlackBox is a unique infrastructural solution providing a layer of trust and self-governance to all the parties of Data Science economy.
BlackBox implements an innovative combination of homomorphic encryption and multiparty computation as well as blockchain-powered asset and governance management as well as the hybrid quality control consensus protocol.

In the current world...

We live in a data-driven world, where data is being generated by every digital process, system, gadget and is augmenting almost any physical object around us. Such an unstoppable explosion of data volume led to a state when data can't be handled manually anymore. As a result demand for efficient processing tools such as machine learning models, neural networks and automated ETL pipelines is constantly increasing.
Data analysis becomes crucial for all the major aspects of decision-making activities, therefore data analysis tools are becoming a key asset in business. As the importance and value of machine learning models rise, IP owners no longer want to publicly share them, though there is a demand for them to be publicly utilized.
On the other end, as data becomes valuable on its own, data owners don't want to expose it even though they desire to use analytical tools for it.
That is where BlackBox comes into play.

Public while private...

BlackBox allows to storage, management and utilization of intelectual assets (eboth data and data processing tools) publicly while still secure, keeping actual "property" private. Such approach creates new data science business case of "renting" intelectual property (IP) instead of selling it.