JANUARY 23 – 29, 2023

Launch•a•blenoun - An event series designed to facilitate the creation of innovative, venture-scalable startups.

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EVENT RESULTS

That's a wrap for Launchable: Foundation Models – congratulations to our winning teams!  Madrona Venture Labs and Madrona would like to extend a huge thank you to our participants, speakers, judges, mentors, and sponsors. We hope to see you at our next Launchable event.

1st place

2ND place

3rD place

SPEAKER VIDEOS

but Why Apply
ONE:
$250,000

You'll have the opportunity to launch your startup with $250,000 in pre-seed funding from MVL. In addition, the winning team will receive $250K in Azure credits, $25K in AWS credits, $5K in OpenAI credits and a $3K cash prize from Cohere.

TWO:
mentorship

Work and learn from fellow entrepreneurs, foundation model experts, and VCs. Take a look at some of our previous events.

Event Details

Launchable is an event series designed to facilitate the creation of innovative, venture-scale startups. Our upcoming event is focused on tooling and applications ideas that leverage foundation models in new and creative ways, as explored in Madrona’s recent post Foundation Models: The Future (Still) Isn’t Happening Fast Enough.

Join us to build and advance your idea, learn from experienced operators and expert mentors, and pitch to a panel of VC judges. There are two ways to participate: 1) as a team, or 2) as an individual with an idea and/or eagerness to join a team.

Launchable includes a series of presentations from industry experts, discussions and networking, and time to work with your team to develop the idea, business model, prototype and final pitch.

We are looking for participants with varying backgrounds, including business, software development, product, and design. We hope to see foundation model concepts spanning media, climate, health care, gaming, etc. No prior foundation models knowledge required. The event fee is $75 for applicants who are accepted.

Applications closed January 9th

Apply now

Speakers

Zack Kass
Head of GTM
OpenAI
Irina Rish
Professor
Université de Montréal,
Mila – Quebec AI Institute
Cristóbal Valenzuela
Co-Founder and CEO
Runway
Ines Chami
Co-Founder
Numbers Station
Ludwig Schmidt
Assistant Professor,
Computer Science
University of Washington
Matt McIlwain
Managing Director
Madrona
Joe Heitzeberg
Founder
Dream.page
Stanislas Polu
dust.tt (LLM library),
ex-OpenAI
Alex Graveley
Copilot Dev Lead
GitHub
Todd Hooper
Tech Entrepreneur
& Investor
Diego Oppenheimer
Partner
Factory
Harrison Chase
ML Engineer, Robust Intelligence, Author of LangChain
Saurabh Baji
Sr. Vice President
Cohere
Jon Turow
Partner
‍Madrona
Jay Alammar
Director, Engineering Fellow,
NLP at Cohere
Keiji Kanazawa
Principal Product Manager,
Azure OpenAI Service
Alex Ratner
Co-founder and CEO,
Snorkel AI
Tom Davis
Senior Director,
Microsoft for Startups

Judges

Sarah Guo
Founder
Conviction
Tim Porter
Managing Director
Madrona
Viviana Faga
General Partner
Felicis

Mentors

Farah Ali
Vice President
Electronic Arts
Shyamal Anadkat
Applied AI
OpenAI
Sabrina Wu
Investor
Madrona
Greg Coquillo
AI
Amazon
John Thimsen
Tech Leader
Qualtrics
Emily Webber
Distributed Training & Generative AI WW Lead at AWS
Yohei Nakajima
General Partner, Untapped Capital
Artist/Founder, PixelBeasts
Nataraj Sindam
Product Manager, Microsoft Azure, Creator of Startup Project
Kelci Zile
Venture Partner
Madrona Venture Labs
Jay Bartot
CEO & Co-founder
Zeitworks
Jay Hoover
Principal Engineer
Google
Matt Lerner
Former SVP Product at Redfin, Co-Founder of Walk Score
Palak Goel
Investor
Madrona
Cory Waddingham
Staff Customer Success Engineer, Pinecone
David Aronchick
Head of Product, Compute over Data, Protocol Labs
Sahar Mor
Product
Stripe
Henry Kiss Ehrenberg
Co-founder
Snorkel AI
Mitchell Wong
Solutions Architect
Cohere
Bobby Kolba
Technical Advisor
Textio

Organizers

Flora Ku
Operations
Madrona Venture Labs
Mike Fridgen
Managing Director
Madrona Venture Labs
Tim Porter
Managing Director
Madrona
Joe Heitzeberg
Founder
Dream.page
Sam Dore
Talent
Madrona Venture Labs
Jason Flateboe
Partner
Madrona Venture Labs
Zachary Byrd
Coordinator
Madrona Venture Labs

Agenda

January 23-29

All events are virtual, date & time displayed in Pacific Daylight Time (PDT)

Monday
23
Learn
4:45 - 7pm
tuesday
24
Learn
5 - 6:15pm
Wednesday
25
Learn
5 - 7pm
Thursday
26
Learn
5 - 5:45pm
friday
27
build
5 - 6:15pm
Saturday
28
build
All Day
sunday
29
build
3 - 4:30pm

Pre-Event Activities

  • Jan 9 - Application due (11:59pm PDT)
  • Jan 13 - Participants selected & notified
  • Jan 17 - Idea pitch videos are due
  • Jan 18 - Participant voting completed
  • Jan 20 – Teams selected & assigned
  • Jan 22 - Teams encouraged to meet virtually to plan for the weekend

Monday, January 23
4:45 - 7:00pm

  • 4:45 - Kick off: Mike Fridgen, MVL
  • 5:00 - The Intelligent and Generative Apps Phenomena: Matt McIlwain, Madrona
  • 5:30 - What to expect from OpenAI in 2023: Zack Kass, OpenAI
  • 6:15 - Team intros & networking

Tuesday,  January 24
5:00 - 6:15pm

  • 5:00 - What's on the horizon: Irina Rish, Laion; Saurabh Baji, Cohere; Ludwig Schmidt, UW Allen School CSE; Jon Turow, Madrona
  • 5:45 - Generative AI is not enough: Jay Alammar, Cohere

Wednesday,  January 25
5:00 - 7:00pm

  • 5:00 - Building applications: Harrison Chase, LangChain (LLM library); Ines Chami, Numbers Station; Stanislas Polu, dust.tt (LLM library), ex-OpenAi; Joe Heitzeberg, Founder Dream.page
  • 5:45 - The Copilot story: Alex Graveley, GitHub Copilot Dev Lead

Thursday,  January 26
5:00 - 5:45pm

  • 5:00 - Investment themes: Todd Hooper, gaming investor; Diego Oppenheimer, Factory; Alex Ratner, Snorkel AI

Friday,  January 27
5 to 5:45pm

  • 5:00 - RunwayML story: Cristóbal Valenzuela, CEO Runway

Saturday,  January 28
All Day

  • 12:30 - How Microsoft Builds With OpenAI - And How Microsoft Can Help Startups!: Keiji Kanazawa, Microsoft; Tom Davis, Microsoft for Startups
  • 1:30-4:00 - Pitch Practice

Sunday,  January 29
3 to 4:30pm

  • 3:00 – Final Pitches
  • 4:30 – Winner announced
Apply

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