In recent years, public & corporate awareness to the importance of privacy has been increasing rapidly and is now at the forefront.
Dramatic advances in Face Recognition (FR) technologies in recent years have led to proliferation of the use of automated recognition using people’s face images, facilitating the identification or the authentication of a person. The statement ""Your face is your identity"" has become even more critical with the proliferation of FR. Face images, when created, extracted from enterprise databases or disseminated through the web, pose significant risks of misuse, violation of fundamental privacy rights, unauthorized tracking and even identity theft. These threats are swiftly growing, with the growth of the FR market. As a result, privacy regulations, such as the EU General Data Protection Regulation (GDPR), now treat face images not just as personal information, but as sensitive personal information, subjecting this data to strict privacy protection measures, security standards, and potentially large fines and lawsuits, in case of data breaches.
D-ID™ is a disruptive and innovative technology platform that seamlessly facilitatesenhanced privacy-protection of face images, while concurrently preserving their visual similarity (hence optimal usability of the images), thus, optimal usability of the images is preserved, while significantly reducing risks of breach of privacy, strengthening compliance with the EU’s General Data Protection Regulation, and reducing the risk for fines/lawsuits, as well as damaged reputation.
In the short term, the company plans to focus mostly on B2B sales, while the mid-range/long-term goal is to expand to B2B2C sales as well in order to make the D-ID privacy protection capability readily accessible and available to both businesses and consumers. Ultimately, this translates into the Company’s long-term strategic vision to see D-ID™ embedded in mobile devices, a goal which it expects to be able to achieve in the 2021 timeframe; and as a functional component of leading social networks.
