The technological engine of Dhiria stems from the ambition to constantly and significantly advance the scientific research. Achieving this goal requires addressing and solving the challenges the international scientific community poses. Thanks to proper investments, Dhiria, first in the market, achieved important results in terms of privacy-preserving computation, hence being able to bring this novel technology to the market.
More in detail, the research activity carried out in Dhiris allowed to design, develop and bring to the market machine and deep learning solutions able to process encrypted data in "as-a-service" manner. We emphasize that in all the phases of the processing data and results remain encrypted.
This valuable result is the outcome of a scientific advance able to combine new neural network architectures and new training algorithms capable of preserving user privacy with innovative machine computation paradigms and deep learning provided in an "as-a-service" manner.
DHIRIA, first in the market, is able to provide machine and deep learning solutions on encrypted data in an "as-a-service" manner
First in the market, DHIRIA has addressed and solved three important scientific and technological challenges:
We contribute to advancing the scientific research to provide the best technology for our customers
The novel research solutions and the main scientific results achieved by Dhiria have been published in the main international journals and conferences:
These publications show the novelty and the effectiveness of the research carried out in Dhiria in the field of privacy-preserving machine and deep learning "as-a-service"
The higher efficiency of algorithms and Cloud infrastructures designed to operate on encrypted data allows to reduce costs and increase the performance to our customers
A further relevant point deserves our attention: the scientific results in privacy-preserving computation achieved by Dhiria represent a valuable asset also for the processing of plain (un-encrypted) data.
Indeed, processing encrypted data requires dealing with memory- and computational-demanding computation and this pushes us constantly towards optimizing every component of our platform.
The novel solutions achieved in the algorithmic, technological and architectural fields developed by Dhiria provide a relevant competitive advantage, compared to other solutions present in the market, in bringing to the customers machine and deep learning as-a-service solutions that operate on plain data, guaranteeing better performance and lower costs of processing.