Julia Computing, a Berkeley, California–based developer of an open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence, raised $4.6M in seed funding.
Backers included General Catalyst and Founder Collective.
The company intends to use the funds to accelerate product development and continue delivering support to customers.
Founded in 2015 by Viral Shah, Alan Edelman, Jeff Bezanson, Stefan Karpinski, Keno Fischer and Deepak Vinchhi, Julia Computing provides a high performance open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence. Julia combines the functionality of Python, R, Matlab, SAS and Stata with C++ and Java.
Julia is one of the top 10 programming languages developed on GitHub and adoption is growing rapidly in finance, insurance, energy, robotics, genomics, aerospace and many other fields, with more than 1 million downloads and +161% annual growth.
It integrates with existing code and platforms.