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Problem: Massive video data productioncalls for automatic analysisSolution: Context-structured videorepresentationBusiness...
Problems & market nicheMarket of video recognition - $3,6B (2012), 35% CAGRImpossible to search video by contextEvery minu...
TechnologyRepresent video as sequence ofevents with annotationStructured database VS dump of video files.Provide tools to ...
Competitors advantageCompetitors search videosby user tags, object color oractivity in selected zoneReAction uses video ev...
Subscription –Video search for businessesTV channels, online shops, video-sharing websitesScalable business –Algorithms fo...
$ M 2013 Year 1 Year 2 Year 3Revenue 0 0,3 4,9 10,7Costs 0,2 1,0 2,0 2,6EBITDA 0 0 2,9 8,1Financial planWe expect to occup...
IvanLaptevWorld leadingscientists with21+ years exp.AlexanderKhaninSlavaKazminAlexeyNekhaevAlexeyKordichevOur team is the ...
Value drivers Already in business with face and numberrecognition technologies Patentable world-changing technology Sca...
Thank you for attention!Any questions?ContactsAlexander Khanin, CEOPhone: +7 (926) 988-78-91E-mail: a.khanin@visionlabs.ru...
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VisionLabs

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26-28 MAY, 2013 - FIRST ANNUAL YOUTH ENTREPRENEURSHIP AND INNOVATORS CONFERENCE IN RUSSIA. STARTUP VILLAGE - one of the most ambitious start-up conferences in Russia, organized by Skolkovo in cooperation with partners. The conference is the first this year and will be held annually.

VisionLabs is the first conference day's pitch session participant in the IT pavillion.

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VisionLabs

  1. 1. Problem: Massive video data productioncalls for automatic analysisSolution: Context-structured videorepresentationBusiness-model: B2B (subs + SDK)We provide video annotating and search technologyfor video-sharing websites, TV channels andsurveillance systemsReAction video search engine
  2. 2. Problems & market nicheMarket of video recognition - $3,6B (2012), 35% CAGRImpossible to search video by contextEvery minute 48 hours of video are uploaded to Youtube.About 60-80% without any tags.Non-automatic video content controlTV channels can’t count advertisement presence.Special people manually control stream content.
  3. 3. TechnologyRepresent video as sequence ofevents with annotationStructured database VS dump of video files.Provide tools to search files by eventsor video samplesGoogle for video or Shazam for video.Advertising control.
  4. 4. Competitors advantageCompetitors search videosby user tags, object color oractivity in selected zoneReAction uses video eventrepresentation for fast contextsearch Understands context instead of pixel values Operates with depersonalized data Easy to integrate into existing infrastructure
  5. 5. Subscription –Video search for businessesTV channels, online shops, video-sharing websitesScalable business –Algorithms for developersVideo surveillance and AppsdevelopersPossible targetsBusiness model
  6. 6. $ M 2013 Year 1 Year 2 Year 3Revenue 0 0,3 4,9 10,7Costs 0,2 1,0 2,0 2,6EBITDA 0 0 2,9 8,1Financial planWe expect to occupy 3%of market until 2015-20246810122013 Year 1 Year 2 Year 3Capital needs: $2M for 18 month($1M secured from Sk grant) to complete development build sales structureExit – Trade sale
  7. 7. IvanLaptevWorld leadingscientists with21+ years exp.AlexanderKhaninSlavaKazminAlexeyNekhaevAlexeyKordichevOur team is the synergy ofscience and businessTeamSergeyMilyaevIvanTruskov5+ years exp. in visualrecognition and softwaredevelopmentExperienced entrepreneursand top-managers, 18+years in business5+ years team lead exp. invisual recognition, 10+successful projects
  8. 8. Value drivers Already in business with face and numberrecognition technologies Patentable world-changing technology Scalable business model (subs, recurring revenue) Approved by Sk experts (up to $1M grant muscle) Already invested $100k by founders
  9. 9. Thank you for attention!Any questions?ContactsAlexander Khanin, CEOPhone: +7 (926) 988-78-91E-mail: a.khanin@visionlabs.ruSkype: alexandr.khaninWeb: http://www.visionlabs.ru/

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