Anchovi NSF final Presentation

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  • Anchovi NSF final Presentation

    1. Team 5: Anchovi Labs• 2 Minute Video: – http://youtu.be/EusXMLFvPDE• 1 Minute Technical Video – http://www.youtube.com/watch? v=1vH2OTEorU0
    2. (Team 5)“Helping you organize, browse andshare your photos” ICorps Team Pietro Perona Boris Babenko Enrico (PI) (EL) di Bernardo (IM)106 interviews, 102 survey responses
    3. Starting Point``Annotating and analyzing large imagecollections in industry and science’’Applications: microscopy, satellite imagery ...
    4. Verticals: Algorithm Accuracy (vs Personal microscopy, Hardware pathology, Development other software) Assistancemanufacturers radiology, microbiology, Scaling to Free Pilot geology, Scaling (vs Studies Service verticals gis, human advertising, companies annotators) metallurgy, manufacturing Academic inspection vision / learning Academic PhDs Convenience Collab labs Direct sales Segments: Crowdsourcing (web) academic labs, service providers, marketplace Referrals (from consultants, R&D hardware cos) depts Crowdsourcin R&D g Fixed price per image with free Value driven, trial or subscription (freemium) Economies of Storage/bandwidth/ model scope CPU power costs
    5. What we did• Talked to biologists, bioengineers, nanoengineers, pathologists, digital pathology scanner manufacturers, etc• Met with CEO/VPs of ESRI, attended a GIS conference
    6. What we learned• Fragmentation – Many niches, different needs• Small markets – No big niches• Lukewarm responses – No “Must have”
    7. Verticals: Algorithm Accuracy (vs Personal microscopy, Hardware pathology, Development other software) Assistancemanufacturers radiology, microbiology, Scaling to Free Pilot geology, Scaling (vs Studies Service verticals gis, human advertising, companies annotators) metallurgy, manufacturing Academic inspection vision / learning Academic PhDs Convenience Collab labs Direct sales Segments: Crowdsourcing (web) academic labs, service providers, marketplace Referrals (from consultants, R&D hardware cos) depts Crowdsourcin R&D g Fixed price per image with free Value driven, trial or subscription (freemium) Economies of Storage/bandwidth/ model scope CPU power costs
    8. 9
    9. Consumer PhotosYESTERDAY TOMORROW
    10. A Soup of Photos
    11. Organizing PrinciplesWhen? Where? How? Who? What?
    12. Organizing PrinciplesWhen? Where? How? Who? What? Metadata Computer Vision
    13. Organizing PrinciplesWhen? Where? How? Who? What? Metadata Computer Vision
    14. Fork in the road B2B B2C– Web API with – Create consumer app Computer Vision – Help people organize, functionality browse and share their– Customers: photo/ photo collections image sharing companies – Lots of customers, but how do we reach– Enough customers? them?
    15. Fork in the road B2B B2C– Web API with – Create consumer app Computer Vision – Help people organize, functionality browse and share their– Customers: photo/ photo collections image sharing companies – Lots of customers, but how do we reach– Enough customers? them?
    16. Building platform/ Outsource image Personalinfra-structure analysis Assistance functionality: auto-Building machine tagging, duplicate Stock photovision detection, adult companies content filtering, etc Photo/image sharing websites Direct (web service or web API)TalentTypical web costs: Freemium subscription toCPU, bandwidth, servicestorageAdvertising/PR
    17. Who we talked toImage/photo companies
    18. What we learnedNeeds• Porn filtering: nice to have• Duplicate detection: in house solutions• Automatic image tagging: ROI unclear
    19. Fork in the road B2B B2C– Web API with – Create consumer app Computer Vision – Help people organize, functionality browse and share their– Customers: photo/ photo collections image sharing companies – Lots of customers, but how do we reach– Enough customers? them?
    20. Building platform/ All photos (your Personalinfra-structure own and others’) Assistance show up in oneBuilding machine place Demos / Blog Consumers:vision • Income: mid/high Exploring & Referral Program • Age: 25-35 organizing photos • Gender: both in one intuitive • Digital adoption: interface smartphone/media Direct (web center users End-to-end photo service or web • Geographic: management API) western worldTalent experience (from capture to Cloud provider consumption) app stores Smart TV app store Freemium subscriptionTypical web costs:CPU, bandwidth, Referral to cloud providersstorage Advertising (e.g. AdWords) Photobook printing commissionAdvertising/PR Smart TV channel subscription Wireless plans commission
    21. What we did• Sent out a survey (>100 responses)• Talked to: – family and friends – strangers – chatroulette.com … bad idea.
    22. Consumer SurveysMore people would pay for automatic organizationthan face tagging!
    23. Consumer Surveys• 23% willing to pay $5/month or more
    24. Consumer Interviews• Phone cameras, taking more pictures• Browsing on mobile• Cloud storage increasing• Pain keeping photos organized• No good solution available
    25. Demohttp://anchovi-mobile.heroku.com/
    26. Cloudy with a chance of anchovies
    27. Building platform/ All photos (your Personalinfra-structure own and others’) Assistance show up in oneBuilding machine place Demos / Blog Consumers:vision • Income: mid/high Exploring & Referral Program • Age: 25-35 organizing photos • Gender: both in one intuitive • Digital adoption: interface smartphone/media center users Cloud / device / • Geographic:Talent platform western world independentTypical web costs:CPU, bandwidth,storageAdvertising/PR
    28. Seeking partners• Partner 1 (stealth startup, raising series A) – Wanted to hire us, we said “no” – Then wanted exclusive license, we said “no” – Willing to work something out• Partner 2 (`big player’ company) – Wants to acquire us – Currently in negotiations
    29. What is next?• Highland Capital summer program• Negotiating with partners• Finishing MVP and putting it out
    30. 31
    31. Canvas History
    32. Verticals: Algorithm Accuracy (vs Personal microscopy, Hardware pathology, Development other software) Assistancemanufacturers radiology, microbiology, Scaling to Free Pilot geology, Scaling (vs Studies Service verticals gis, human advertising, companies annotators) metallurgy, manufacturing Academic inspection vision / learning Academic PhDs Convenience Collab labs Direct sales Segments: Crowdsourcing (web) academic labs, service providers, marketplace Referrals (from consultants, R&D hardware cos) depts Crowdsourcin R&D g Fixed price per image with free Value driven, trial or subscription (freemium) Economies of Storage/bandwidth/ model scope CPU power costs
    33. Verticals: Algorithm Accuracy (vs Personal microscopy, Hardware pathology, Development other software) Assistancemanufacturers radiology, microbiology, Scaling to Free Pilot geology, Scaling (vs Studies Service verticals gis, human advertising, companies annotators) metallurgy, manufacturing Academic inspection vision / learning Academic PhDs Convenience Collab labs Direct sales Segments: Crowdsourcing (web) academic labs, service providers, marketplace Referrals (from consultants, R&D hardware cos) depts Crowdsourcin R&D g Fixed price per image with free Value driven, trial or subscription (freemium) Economies of Storage/bandwidth/ model scope CPU power costs
    34. Building platform/ Outsource image Personalinfra-structure analysis Assistance functionality: auto-Building machine tagging, duplicate Stock photovision detection, adult companies content filtering, etf Photo/image sharing websites Direct (web service or web API)TalentTypical web costs: Freemium subscription toCPU, bandwidth, servicestorageAdvertising/PR
    35. Building platform/ All photos (your Personalinfra-structure own and others’) Assistance show up in oneBuilding machine place Demos / Blog Consumers:vision • Income: mid/high Exploring & Referral Program • Age: 25-35 organizing photos • Gender: both in one intuitive • Digital adoption: interface smartphone/media Direct (web center users End-to-end photo service or web • Geographic: management API) western worldTalent experience (from capture to Cloud provider consumption) app stores Smart TV app store Freemium subscriptionTypical web costs:CPU, bandwidth, Referral to cloud providersstorage Advertising (e.g. AdWords) Photobook printing commissionAdvertising/PR Smart TV channel subscription Wireless plans commission
    36. Building platform/ All photos (your Personalinfra-structure own and others’) Assistance show up in oneBuilding machine place Demos / Blog Consumers:vision • Income: mid/high Exploring & Referral Program • Age: 25-35 organizing photos • Gender: both in one intuitive • Digital adoption: interface smartphone/media center users Cloud / device / • Geographic:Talent platform western world independentTypical web costs:CPU, bandwidth,storageAdvertising/PR

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