Liberating the World's Technical Knowledge

We are creating an ecosystem uniting collective intelligence, artificial intelligence, and community to help practitioners and companies build products faster and better.

Liberating the World's Technical Knowledge

We are creating an ecosystem uniting collective intelligence, artificial intelligence, and community to help practitioners and companies build products faster and better.

Our Story

With the latest advancements in natural language processing, we are at a unique point in history (of humankind) where we can computationally analyze our knowledge and accelerate the process of innovation.

Our platform brings together ML practitioners, experts, researchers, and more who are tired of searching, and want to start building!

Our Team

Amir Feizpour, CEO

PhD, Quantum Computing, University of Toronto

Postdoc, Quantum Computing, University of Oxford

4+ yrs in data science and product management

Maryam Farooq, COO

B.A. Economics, The University of North Carolina

Founder & Director, New York Artificial Intelligence (NYAI.co)

10+ years in startup operations, sales, and marketing/ 5+ years in AI community building

Percy Chen

ML Engineer

Nabila Mahabub

Marketing Innovation Specialist

Ammar Khan

Head of Community Architecture

Fasile Endalkachew

Senior Developer

Rehana Shemsu

Senior Developer

Samuel Negash

Full Stack Engineer

Muluwork Shegaw

Software Engineer

Bereket Tadege

Software Engineer

Eyob Yirgu

Full Stack Engineer

Sara Hajimiri

Product Designer

Our History

2018

Our humble community started to stay on top of the mountains of ML papers. We’d nerd out every other week (in-person!) talking about interesting ML papers we’d had come across. The mailing list grew to 400 people by the end of the year.

2019

We incorporated “aggregate intellect” with the ultimate goal of “automating scientific discovery”. Based on the demand of our community, we created lots of educational packages, then started shifting towards how we could enable the applied side of ML.

2020

Welp, 2020! Few months before the Pandemic lockdowns, we left our corporate jobs to focus on our venture. We thought more deeply about scale, the industry impact of ML, and R&D in general. We capped off the year with a small fundraising round raised through our community.

2021

We added more team members this year, scaling our R&D, Dev, Distribution, and Operations. We established a partnership with NYAI.co, doubling our community reach. We ran ML dev crowdsourcing competitions with startups, and used those engagements to build the V1 of our core product.

2022

We used the insights from our rigorous experiments & design sprints in 2021 to clarify our product vision. We have been releasing alpha versions of our features throughout the year and hope to launch our first commercial feature before the end of the year

2023

Next year will be all about commercial growth and onboarding paid users aiming to have 300 paid users by the end of the year

Our Advisors

Jenny Yang

Partner at Panda Angel Partners, Founded (CEO) and sold several tech companies, Sr. Advisor at MaRS Discovery District, Served as advisor or venture partner for several companies

Stephane Jasmin

Founder of IntelliShift Solutions, Startup Advisor at MaRS Discovery District and ScalePath, Founder (CEO) of DisclosureNet sold to Certent

Darryl Kirsh

Investor at Fiddlehead – Aidan Health, Paragon Pure, FlaVR Labs, PharmaprinterCRO, Ixon Technologies, Micron Agritech, Vitroscope – Turnaround CEO, Advisor & Board