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 Platform

Our platform aggregates the intellect of expert users and leverages AI to create the ultimate knowledge distillation solution. In other words, it brings together a global community of AI practitioners who use our AI-powered platform to learn and build collaboratively. In near future, we will be launching a series of integrations for enterprise users to manage the knowledge throughout their R&D projects more “smartly”.

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

Alice Reuda

Director of ML

Percy Chen

ML Engineer

Hamid Abdo

Sr. Software Engineer

Muluwork Shegaw

Software Engineer

Samuel Negash

Full Stack Engineer

Bereket Tadege

Software Engineer

Eyob Yirgu

Full Stack Engineer

Ammar Khan

Community Growth Manager

Suhas Pai

Newletter GPT3 BOT!

Elora Riganelli

UX/UI 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 shifted towards how we could enable the applied side of ML.

2020

Welp, 2020! Several months ahead of the Pandemic lockdowns, we shifted all our in-person events to online so we could reach more people. Little did we know it would be necessity! 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, and significantly scaled out our R&D. We onboarded a COO + merged with NYAI.co, doubling our community size. We gained some traction running crowdsourcing competitions for rapid product development for startups, and used those engagements to build our V1 of our core product.

2022

We used the insights from our rigorous experiments & design sprints in 2021 to clarify our product vision. We will be gearing up for an alpha release in March, and will close a lead investor in April for our seed raise. If you’re an investor that wants to learn more, reach out to [email protected] 🙂

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