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Why is it harder to build startups outside of
Silicon Valley?
Thesis
The primary cause for poor performance in
translating regional excellence in innovation
into entrepreneurial success is not a lack of:
• Ideas/Intellectual Property
• Effort
• Capital
…instead, the primary reason is a lack of high quality judgment
Rationale for CDL Model
1. Entrepreneurial judgment is hard to come by outside of Silicon Valley
2. Licensing model of technology transfer has failed to generate
desired results
3. Business schools can be more active in supporting academic
entrepreneurs
The Creative Destruction Lab
CDL is a seed-stage program for massively scalable, science- and
technology-based startups.
• Seed-stage companies
• Not an accelerator or incubator
• Massively scalable companies
• Science- and technology-based companies
CDL Sessions
• Core of the program.
• Series of 5 full-day
meetings with CDL Fellows
and Associates. Once every
8 weeks.
• Each session day immerses
founders in a community of
accomplished
entrepreneurs, experienced
operators, and active angel
and venture investors.
Anousheh Ansari
Founder, Prodea Systems
Tony Lacavera
Founder, WIND Mobile
Ted Livingston
Founder, Kik
Tomi Poutanen
Founder, Layer6 AI
Geordie Rose
Founder, D-Wave Systems
Shivon Zilis
Founder, Bloomberg Beta
Manish Patel
Early Google Employee,
Co-inventor of Adwords &
Chromecast
Mike Serbinis
Founder, Kobo
Elizabeth Caley
Founder, Meta
Director, Chan Zuckerberg
Initiative
Amielle Lake
Founder, Tagga Media
Tyson Clark
Partner, Google Ventures
Sven Strohband
Partner & CTO, Khosla
Ventures
This is a small selection of CDL’s F&A.
CDL Sessions: One-on-One Meetings
• Multiple one-on-one
mentoring meetings
• Explanations of what, how,
and why
• What would the Fellow or
Associate do in the
founder’s shoes?
CDL Sessions: Group Meetings
• Group meetings focused
on finalizing 8-week
objectives (measurable,
deliverable in 8-weeks,
agreeable to founders)
Founders
Fellows & Associates
Scientists
Partners
MBA Students
• Technology assessment meetings
• Ad-hoc tech. roadmap advising
• Long-term formal advising
Chief Scientists
This is a small selection of CDL’s Scientists.
Andrew Pelling
Biomaterials and
Biodevices, University
of Ottawa
David Jaffray
Radiation Physics,
University Health
Network - Toronto
Roger Melko
Computational quantum
many-body physics
Molly Shoichet
Biomedical
Engineering,
University of Toronto
Steve Mann
Wearables, augmented
reality, human-
computer interaction
Peter Wittek
Quantum machine
learning
Yoshua Bengio
Deep Learning,
Montreal Institute of
Machine Learning
Peter Zandstra
Biomedical engineering,
University of British
Columbia
CDL Sessions
• Peer-reviewed Advice: Advice on what to do and how to do it is observed
by a group of expert entrepreneurs who hold one another accountable
• Investment: No obligation to invest or to take investment. However, regular
CDL Sessions give Fellows and Associates a better sense of a founder’s
trajectory, often leading to seed investment
• Venture Elimination: Fellows and Associates must choose who they want to
work with and commit to four hours of mentoring between CDL Sessions
CDL - West
Vancouver
25 Prime
25 BioMedTech
CDL - Rockies
Calgary
25 Prime (Energy Focus)
CDL - Toronto
25 Prime
100 Machine Learning
25 Quantum Machine Learning
CDL - Montreal
25 Machine Learning
CDL - Atlantic
Halifax
25 Prime
(Blue-Green Tech Focus)
2017: Creative Destruction Lab National Expansion
275 Ventures
CDL-West (University of British Columbia)
• Advanced
Intelligent Systems
• Alavida
• Blue Mesa Health
• Careteam
• Clir
• Correlia Biosystems
• Creatus Biosciences
• CRM
GeoTomography
Technologies
• CSD Labs
• CTO.ai
• Dooly
• Elevated Signals
• EZ-Robot
• HeadCheck Health
• Human in Motion
Robotics
• Humon
• Industrial Plankton
• InnoVein
• Mediphage
Bioceuticals
• Mesentech
• Nano-Lit
Technologies BC
• ODS Medical
• Orpryx Medical
Technologies
• ProT Therapeutics
• Ravata Solutions
• Routific
• Starling Minds
• Volta Air
Technology
2017/18 GRADUATES
CDL-Rockies (University of Calgary)
• Carbon Upcycling
Technologies
• Ingu Solutions
• Interface Fluidics
• Mangrove Water
Technologies
• Neuraura
• ReWatt Power
• SensorUp
• Swirltex
• Terrapin
Geothermics
• TikTiks
• Unsist
• Vivametrica
• VizworX
• Zept
2017/18 GRADUATES
CDL-Toronto (University of Toronto)
• Adaptive Finance
• Audible Reality
• Avro Life Science
• Awake Labs
• BiomeRenewables
• Black
• Blue Lava AI
• Boxcat
• Brisk Synergies
• Brizi
• Cerebri AI
• Conic
• CryptoNumerics
• Darwin AI
• FleetOps
• Genecis EnviroTech
• Hala Systems
• HealthChain
• Imminenth
• Indus AI
• InnerSpace
• Innovative Protein
Technologies
• Instantia Labs
• Intuitive
• IRYStec
• Kira Talent
• KOMPAS
• LabsCubed
• Luminari Talent
• Mekonos
• Molly
• NanoQuan
• Netramark
• NuCypher
• Oncoustics
• OTI Lumionics
• Phenomic
• Plum
• Precision Agritech
• ProteinQure
• QAssurance
• QBNet
• Qspice
• QuantumSense
• Saccade Analytics
• Savormetrics
• Shakepay
• Shield Crypto
Systems
• SolidState AI
• SomaDetect
• SortSpoke
• Stepsize
• Triage
• TritonWear
• Untether AI
• Wondereur
• Zymewire
2017/18 GRADUATES
CDL-Montreal (HEC Montréal)
• HeyDay
• Local Logic
• MarketMuse
• Optina Diagnostic
• reDock
• Stratuscent
• TradeTeq
• True Positive MD
• Vyrill
2017/18 GRADUATES
CDL-Atlantic (Dalhousie University)
• Bereda Training
• Borealis Wind
• Chinova Bioworks
• EnergyX
• Graphite
Innovation &
Technologies
• Harbr
• Jaza
• Kognitiv Spark
• Mysa Smart
Thermostats
• Salient Energy
• Seaformatics
Systems
• WhiteCap
Scientific
2017/18 GRADUATES
IMAGE PLACEHOLDER
CDL-NYC will kick off at
NYU – Stern School of Business in
Fall 2018
CDL’s 2018/19 Venture Cohort
Estimated cohort of 350 ventures
across 6 CDL sites
for 2018/19 Program Year
19
CDL Streams in
2018/19
Vancouver
Prime
Health
Calgary
Prime
(Clean Focus)
Energy
Toronto
Prime
AI
Cities
Crypto
Health
Quantum
New York
Prime
Montreal
AI (x2)
Halifax
Prime
(Oceans Focus)
350 Ventures
Founders
Fellows & Associates
Scientists
Partners
MBA Students
Lesson #1 – Technical Validation
Lesson #2 – Accelerate Time to Market
Lesson #3 – Optimize Product Market Fit
Thank you!

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Sonia Sennik

  • 1.
  • 2.
  • 3. Why is it harder to build startups outside of Silicon Valley? Thesis The primary cause for poor performance in translating regional excellence in innovation into entrepreneurial success is not a lack of: • Ideas/Intellectual Property • Effort • Capital
  • 4. …instead, the primary reason is a lack of high quality judgment
  • 5. Rationale for CDL Model 1. Entrepreneurial judgment is hard to come by outside of Silicon Valley 2. Licensing model of technology transfer has failed to generate desired results 3. Business schools can be more active in supporting academic entrepreneurs
  • 6. The Creative Destruction Lab CDL is a seed-stage program for massively scalable, science- and technology-based startups. • Seed-stage companies • Not an accelerator or incubator • Massively scalable companies • Science- and technology-based companies
  • 7. CDL Sessions • Core of the program. • Series of 5 full-day meetings with CDL Fellows and Associates. Once every 8 weeks. • Each session day immerses founders in a community of accomplished entrepreneurs, experienced operators, and active angel and venture investors. Anousheh Ansari Founder, Prodea Systems Tony Lacavera Founder, WIND Mobile Ted Livingston Founder, Kik Tomi Poutanen Founder, Layer6 AI Geordie Rose Founder, D-Wave Systems Shivon Zilis Founder, Bloomberg Beta Manish Patel Early Google Employee, Co-inventor of Adwords & Chromecast Mike Serbinis Founder, Kobo Elizabeth Caley Founder, Meta Director, Chan Zuckerberg Initiative Amielle Lake Founder, Tagga Media Tyson Clark Partner, Google Ventures Sven Strohband Partner & CTO, Khosla Ventures This is a small selection of CDL’s F&A.
  • 8. CDL Sessions: One-on-One Meetings • Multiple one-on-one mentoring meetings • Explanations of what, how, and why • What would the Fellow or Associate do in the founder’s shoes?
  • 9. CDL Sessions: Group Meetings • Group meetings focused on finalizing 8-week objectives (measurable, deliverable in 8-weeks, agreeable to founders)
  • 11. • Technology assessment meetings • Ad-hoc tech. roadmap advising • Long-term formal advising Chief Scientists This is a small selection of CDL’s Scientists. Andrew Pelling Biomaterials and Biodevices, University of Ottawa David Jaffray Radiation Physics, University Health Network - Toronto Roger Melko Computational quantum many-body physics Molly Shoichet Biomedical Engineering, University of Toronto Steve Mann Wearables, augmented reality, human- computer interaction Peter Wittek Quantum machine learning Yoshua Bengio Deep Learning, Montreal Institute of Machine Learning Peter Zandstra Biomedical engineering, University of British Columbia
  • 12. CDL Sessions • Peer-reviewed Advice: Advice on what to do and how to do it is observed by a group of expert entrepreneurs who hold one another accountable • Investment: No obligation to invest or to take investment. However, regular CDL Sessions give Fellows and Associates a better sense of a founder’s trajectory, often leading to seed investment • Venture Elimination: Fellows and Associates must choose who they want to work with and commit to four hours of mentoring between CDL Sessions
  • 13. CDL - West Vancouver 25 Prime 25 BioMedTech CDL - Rockies Calgary 25 Prime (Energy Focus) CDL - Toronto 25 Prime 100 Machine Learning 25 Quantum Machine Learning CDL - Montreal 25 Machine Learning CDL - Atlantic Halifax 25 Prime (Blue-Green Tech Focus) 2017: Creative Destruction Lab National Expansion 275 Ventures
  • 14. CDL-West (University of British Columbia) • Advanced Intelligent Systems • Alavida • Blue Mesa Health • Careteam • Clir • Correlia Biosystems • Creatus Biosciences • CRM GeoTomography Technologies • CSD Labs • CTO.ai • Dooly • Elevated Signals • EZ-Robot • HeadCheck Health • Human in Motion Robotics • Humon • Industrial Plankton • InnoVein • Mediphage Bioceuticals • Mesentech • Nano-Lit Technologies BC • ODS Medical • Orpryx Medical Technologies • ProT Therapeutics • Ravata Solutions • Routific • Starling Minds • Volta Air Technology 2017/18 GRADUATES
  • 15. CDL-Rockies (University of Calgary) • Carbon Upcycling Technologies • Ingu Solutions • Interface Fluidics • Mangrove Water Technologies • Neuraura • ReWatt Power • SensorUp • Swirltex • Terrapin Geothermics • TikTiks • Unsist • Vivametrica • VizworX • Zept 2017/18 GRADUATES
  • 16. CDL-Toronto (University of Toronto) • Adaptive Finance • Audible Reality • Avro Life Science • Awake Labs • BiomeRenewables • Black • Blue Lava AI • Boxcat • Brisk Synergies • Brizi • Cerebri AI • Conic • CryptoNumerics • Darwin AI • FleetOps • Genecis EnviroTech • Hala Systems • HealthChain • Imminenth • Indus AI • InnerSpace • Innovative Protein Technologies • Instantia Labs • Intuitive • IRYStec • Kira Talent • KOMPAS • LabsCubed • Luminari Talent • Mekonos • Molly • NanoQuan • Netramark • NuCypher • Oncoustics • OTI Lumionics • Phenomic • Plum • Precision Agritech • ProteinQure • QAssurance • QBNet • Qspice • QuantumSense • Saccade Analytics • Savormetrics • Shakepay • Shield Crypto Systems • SolidState AI • SomaDetect • SortSpoke • Stepsize • Triage • TritonWear • Untether AI • Wondereur • Zymewire 2017/18 GRADUATES
  • 17. CDL-Montreal (HEC Montréal) • HeyDay • Local Logic • MarketMuse • Optina Diagnostic • reDock • Stratuscent • TradeTeq • True Positive MD • Vyrill 2017/18 GRADUATES
  • 18. CDL-Atlantic (Dalhousie University) • Bereda Training • Borealis Wind • Chinova Bioworks • EnergyX • Graphite Innovation & Technologies • Harbr • Jaza • Kognitiv Spark • Mysa Smart Thermostats • Salient Energy • Seaformatics Systems • WhiteCap Scientific 2017/18 GRADUATES
  • 19. IMAGE PLACEHOLDER CDL-NYC will kick off at NYU – Stern School of Business in Fall 2018 CDL’s 2018/19 Venture Cohort Estimated cohort of 350 ventures across 6 CDL sites for 2018/19 Program Year 19
  • 20. CDL Streams in 2018/19 Vancouver Prime Health Calgary Prime (Clean Focus) Energy Toronto Prime AI Cities Crypto Health Quantum New York Prime Montreal AI (x2) Halifax Prime (Oceans Focus) 350 Ventures
  • 22. Lesson #1 – Technical Validation
  • 23.
  • 24. Lesson #2 – Accelerate Time to Market
  • 25.
  • 26. Lesson #3 – Optimize Product Market Fit
  • 27.