01.11.2022

VIEWAPP is the winner of the Start-up of the Year Award at the Annual AUTONET AWARDS 2022

On November 1, 2022, the annual AUTONET AWARDS Award ceremony was held where VIEWAPP won the "Start-up of the year" nomination, chosen by the Expert Board!

The AUTONET AWARDS is an independent domestic award in the field of digital technologies for automobiles, considered the most prestigious in the industry and its award indicates the highest quality of the chosen product or technology and reliability of the company's business reputation as a partner. The primary mission of this award is to provide consumers with a clear reference point for technology solutions in one of the most competitive markets for digital vehicle technologies. This award recognizes commercial projects, private initiatives, and startups that make a significant contribution to the development of the Autonet markets.

VIEWAPP was represented at the online awards ceremony by the CEO and founder of the start-up VIEWAPP, Alexander Fokin.

It is honourable and flattering to receive such an award, because it means that the tremendous effort in promoting the innovative digital inspection technology VIEWAPP has received the highest expert appraisal. This once again confirms the uniqueness and timeliness of the invented fraud-proof remote inspection technology, which now claims to be the new digital standard of service delivery.

The VIEWAPP digital inspection platform is currently being adopted by financial services industries such as banking, leasing and insurance, although the potential of the technology is not limited to those areas. Digital inspections are required literally everywhere - Merchandising, E-commerce, Food inspections and many other industries. And we are not only talking about the application of modern digital inspections in the Russian market - VIEWAPP has considerable international potential.

As for digital vehicle technologies in particular, VIEWAPP provides secure remote inspections of cars and other transport objects with automatic damage detection, which can be used for a variety of applications - for example, for the reception and delivery or monitoring of rolling stock and much more.