Julia Computing raises $4.6 Mn funding from General Catalyst and Founder Collective

Julia Computing has raised $4.6M in another round of funding from General Catalyst and Founder Collective. The startup was founded by Indian-origin Viral Shah and Deepak Vinchhi along with Keno Fischer, Alan Edelman, Jeff Bezanson and Stefan Karpinski in 2015. It is an open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence.

Commenting on the funding, Viral Shah CEO of Julia Computing says, “We selected General Catalyst and Founder Collective as our initial investors because of their success backing entrepreneurs with business models based on open source software. This investment helps us accelerate product development and continue delivering outstanding support to our customers, while the entire Julia community benefits from Julia Computing’s contributions to the Julia open source programming language.”

Julia Computing raises .6 Mn funding from General Catalyst and Founder Collective

With over 1 million downloads and +161% annual growth, 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. Companies such as Amazon, Apple, BlackRock, Capital One, Comcast, Disney, Facebook, Ford, Google and Uber hire Julia programmers from colleges and universities.

In a blog post, David Frankel, managing partner at Founder Collective said, “Julia Computing has a chance to redefine the way mathematics and science are practised. You can read more about the myriad applications of Julia, from financial engineering to exploring the solar system…But in short, the way Red Hat makes Linux approachable to enterprises, Julia Computing does for the Julia programming language.”

Julia Computing LLC operates out of Boston, New York with offices in Bengaluru, London, and San Francisco. The creator of open-source language for high-performance technical computing and data science plans to utilise raised capital to accelerate product development and scale the sales, marketing, and service side of the company.

Earlier, the startup had received a grant of $600K from US-based Gordon and Betty Moore Foundation in November 2015.

 

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