The project Gvidi of the Skolkovo resident Wi2Geo became winner in the Bully

In October, 11 have been summarized results of the contest Bylly Award, organizer of which in the International company White Bull Summits. The resident of the Skolkovo Fund Wi2Geo (the company AlterGeo) with its project Gvidi was the only one, who presented Russia in the final of this prestige European contest of innovation solutions in the sphere of IT for wide consumer market.

According to the official release of organizers of the contest, the prouct Gvidi (free mobile service for intellectual search and cafes and restaurants selection) has won in the course of jury voting, which has been conducted in October, 11 in Barcelona. Victory of Gvidi has been given to nomination Yearling, that is to say the project which has not yet aged one year. All in all winners are 30 companies from over the world in various nominations. Categories of nominations 2013 have been comprised depending on the company age.

The award “Bully Award” traditionally is given to the best unnovation projects with high growth potential, said Anton Bondarchuk, director general of the company AlterGeo: “We are glad that our project Gvidi has been included in the amount of this award winners, and highly appreciate such recognition. This proves that the problem actuality, based on which we work in, - geo-technology with “human face”, and also approves innovativeness, uniquness of Gvidi and developed solution all in all”.

Last year Bully has already been awarded to AlterGeo for its unique developments within the limits of hybrid technology of positioning, which has no analogues all over the world, and the largest geosocial network AlterGeo, created on its basis.

“Continuing investigations in the sphere of geolocation allowed us last year launching Gvidi – geoservice of anew age. It not only able to show what cafes, bars and restaurants are located around the client at the moment, but also analyses a social graph of users via Facebook, Twitter, BKontakte and other resources of open data, and forecasts its private sympathies to one or another place. As a result each client gets exact individual recommendations where to go, show, and how he likes or does not like this or that place”, - said Anton Bondarchuk.