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Learnings from founding a
 computer vision startup
  Till Quack (kooaba) & Jan Erik Solem (Polar Rose)
Learnings from founding a Computer Vision Startup




                                                    Founded 2006, 10 employees
                                                    Founders: Herbert Bay, Till Quack,
                                                    Luc Van Gool
                                                    Location: Zürich, Switzerland


                                                    Object recognition for
                                                    consumer applications
                                                    On mobile and web



                                                    Spin-off from ETH Zürich
                                                    Still close relations to ETH
kooaba makes images smarter




   Mobile Search (since 08/09)




(more about products during talk)

                                    Auto-tagging (Q2 2010)
Learnings from founding a Computer Vision Startup


                                                    Till Quack
                                                    PhD with Prof. Luc van Gool (graduated in 2009)

                                                    Research interests: Object Recognition + Internet + Mobile

                                                    kooaba founded during PhD

                                                    Interests in innovation, product design etc.

                                                    Two former companies
                                                    (e.g. mosaickr.com with T. Weise and S. Saur. Sold in 2010.)
Learnings from founding a Computer Vision Startup




                                                    Founded 2004, 15 employees
                                                    Malmö, Sweden: HQ, management, computer vision
                                                    Warsaw, Poland: products, infrastructure
                                                    Sophia-Antipolis, France: computer vision



                                                    Spin-off from Lund University.
Learnings from founding a Computer Vision Startup




                               Face recognition for
                               mobile, desktop and web
Learnings from founding a Computer Vision Startup


                                                    Jan Erik Solem
                                                    PhD with Profs. Anders Heyden and Fredrik Kahl
                                                    (graduated in 2006)

                                                    Research interests:
                                                    large-scale vision, object recognition and visual retrieval

                                                    Polar Rose founded during PhD

                                                    Interests in entrepreneurship, Web and mobile
What to expect
Learnings from founding a Computer Vision Startup




                                                            What we learned along the way



                                                    Flickr:kate at yr own risk
Learnings from founding a Computer Vision Startup




                                                    What’s special about Vision startups




                                                    Flickr:Pete Prodoehl
Learnings from founding a Computer Vision Startup




                                                    Discussion between JES and TQ - and you




                                                       Flickr: Katie Stine
Learnings from founding a Computer Vision Startup




                                                                      Lots of pointers to resources




                                                    Flickr:Ramkarthikblogger
Learnings from founding a Computer Vision Startup


                                                    Syllabus
                                                    1. Why a startup?                                                       JES / TQ    215-230
                                                    2. The business idea                                                    JES/TQ      230-245
                                                    3. Business plan: what and who to write it for?                           JES       245-300
                                                    4. Team                                                                   JES       300-315
                                                    5. Funding: who and how to ask for money                                  JES       315-330

                                                                                Coffee Break                                           330pm-4pm
                                                    6. Product design: finding out what people really want                     TQ        400-430
                                                    7. Business models: how to make money?                                    TQ        430-450
                                                    8. Software engineering: doing research vs. delivering a product          TQ        450-520
                                                    9. Marketing & sales: getting people to know & buy your products          TQ        520-545
                                                    10. Competition and positioning: OMG, Google is doing the same thing!     JES       545-600
Let’s start!

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Founding a Computer Vision Startup: Key Learnings

  • 1. Learnings from founding a computer vision startup Till Quack (kooaba) & Jan Erik Solem (Polar Rose)
  • 2. Learnings from founding a Computer Vision Startup Founded 2006, 10 employees Founders: Herbert Bay, Till Quack, Luc Van Gool Location: Zürich, Switzerland Object recognition for consumer applications On mobile and web Spin-off from ETH Zürich Still close relations to ETH
  • 3. kooaba makes images smarter Mobile Search (since 08/09) (more about products during talk) Auto-tagging (Q2 2010)
  • 4. Learnings from founding a Computer Vision Startup Till Quack PhD with Prof. Luc van Gool (graduated in 2009) Research interests: Object Recognition + Internet + Mobile kooaba founded during PhD Interests in innovation, product design etc. Two former companies (e.g. mosaickr.com with T. Weise and S. Saur. Sold in 2010.)
  • 5. Learnings from founding a Computer Vision Startup Founded 2004, 15 employees Malmö, Sweden: HQ, management, computer vision Warsaw, Poland: products, infrastructure Sophia-Antipolis, France: computer vision Spin-off from Lund University.
  • 6. Learnings from founding a Computer Vision Startup Face recognition for mobile, desktop and web
  • 7. Learnings from founding a Computer Vision Startup Jan Erik Solem PhD with Profs. Anders Heyden and Fredrik Kahl (graduated in 2006) Research interests: large-scale vision, object recognition and visual retrieval Polar Rose founded during PhD Interests in entrepreneurship, Web and mobile
  • 9. Learnings from founding a Computer Vision Startup What we learned along the way Flickr:kate at yr own risk
  • 10. Learnings from founding a Computer Vision Startup What’s special about Vision startups Flickr:Pete Prodoehl
  • 11. Learnings from founding a Computer Vision Startup Discussion between JES and TQ - and you Flickr: Katie Stine
  • 12. Learnings from founding a Computer Vision Startup Lots of pointers to resources Flickr:Ramkarthikblogger
  • 13. Learnings from founding a Computer Vision Startup Syllabus 1. Why a startup? JES / TQ 215-230 2. The business idea JES/TQ 230-245 3. Business plan: what and who to write it for? JES 245-300 4. Team JES 300-315 5. Funding: who and how to ask for money JES 315-330 Coffee Break 330pm-4pm 6. Product design: finding out what people really want TQ 400-430 7. Business models: how to make money? TQ 430-450 8. Software engineering: doing research vs. delivering a product TQ 450-520 9. Marketing & sales: getting people to know & buy your products TQ 520-545 10. Competition and positioning: OMG, Google is doing the same thing! JES 545-600