CatalyzeX, an Oakland CA-based startup building a platform to help developers find the right machine learning techniques, code, and know-how, raised $1.64M in Seed funding.
The round was led by Unshackled Ventures, Darling Ventures, Kepler Ventures, On Deck, Abstraction Capital, Unpopular Ventures and Basecamp Fund with participation from Anthony Goldbloom, Joe Fernandez, Binh Tran, Slava Kovalevskyi, Ilya Kirnos, Michael Shuffett, Michael Shuffett and Akshay Chaturvedi.
The company intends to use the funds to Expand operations and its business reach.
Co-founded by brothers Gaurav Ragtah and Himanshu Ragtah from Delhi, India, CatalyzeX offers a website for looking up machine learning techniques and their code implementations. It also has browser extensions for Chrome and Firefox that automatically find and show relevant code implementations for any machine learning papers users come across while browsing the web. The product makes it easy to get in touch with authors to ask them any questions or get clarifications, too.
CatalyzeX currently has over 30,000 weekly active users comprising developers, data scientists, and applied researchers from both startups and larger institutions around the world.