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With this new funding, Julia Computing will be able to make more Julia solutions and develop new products for pharmaceutical, energy, finance, and other industries.
Cambridge, Massachusetts, July 19, 2021, Julia Computing was started by the people who made the Julia high-performance programming language. They just announced that they have raised $24 million in a Series A funding round led by Dorilton Ventures and including Menlo Ventures, General Catalyst, and HighSage Ventures. Bob Muglia, who was the CEO of Snowflake and the President of Servers and Tools at Microsoft, will join the Julia Computing Board of Directors. This was also announced today.
Julia Computing will use the money to make its secure, high-performance cloud platform JuliaHub even better and to grow the Julia ecosystem. Data scientists and engineers are using Julia programs and models more and more quickly. JuliaHub makes it easy to create, deploy, and scale them. In addition to being a cloud computing product in and of itself, JuliaHub is also a platform for other revolutionary applications, such as JuliaSim for multi-physics simulation, JuliaSPICE for circuit simulation, and Pumas for pharmaceutical simulation from Julia Computing’s partner company, Pumas-AI.
The people who made Julia, which is the fastest and easiest high-performance computing language for AI, machine learning, analytics, data science, modeling, and simulation, started Julia Computing. More than 10,000 businesses around the world use Julia, including AstraZeneca, BlackRock, Google, Intel, Microsoft, Moderna, Pfizer, NASA, the FAA, and the Federal Reserve Bank of New York.
“Digital models are used to make the wonders of the modern world.” Digital modeling is used to build advanced technologies like the circuits in our smartphones, new materials, pharmaceuticals, and airplanes. “Even though these improvements are great, the tools and systems that support them have been around for decades and can’t fully use the cloud,” said Julia Computing Board of Directors member Bob Muglia. “By making JuliaHub, a modern platform for technical and scientific modeling, the Julia Computing team has changed the world.” JuliaHub is set to improve scientific computing and make possible solutions that will lead to new generations of products and services that we can’t even think of yet.
Julia is a programming language that was created at MIT and has been downloaded more than 29 million times by people all over the world. Thousands of open-source developers have added to Julia and its 6,000 registered packages. Over 1,500 universities all over the world use Julia and teach it. This includes top universities like MIT, Stanford, and UC Berkeley.
Since Julia was first shown to the public in 2012, the community has grown a lot. Julia helps scientists and engineers solve large-scale data science problems. It also solves the “two-language problem” by getting rid of the two-step process of testing, modeling, and prototyping in a high-level language (like Python, Matlab, or R), and then rewriting in a second, faster lower-level language (like C or C++) for production and scaling. The Julia community gets together every year at JuliaCon, which takes place July 28–30 and is free for everyone to attend this year.
Viral Shah, co-founder and CEO of Julia Computing and co-creator of Julia, said, “Technical computing is stuck in a rut right now.” “Products that data scientists and engineers use were made many decades ago.” With JuliaHub, it’s possible to come up with new drugs and treatments, make new batteries, simulate a space mission, map out the universe, and do all of these things while using less computing power and lowering emissions from data centers. We are really shaping the future of data science and simulation, and it is very exciting to be a part of this. “With our most recent funding, we’re excited to grow our team and bring Julia’s superpowers to more industries and uses.”
Daniel Freeman, who was in charge of the investment for Dorilton Ventures, says, “We’re happy to be in charge of this important round and work with Julia Computing.” Julia Computing is right in the middle of technical computing, which is a big global market with a lot of obstacles to entry. Julia’s machine learning and AI technologies make it possible to simulate instead of just guess, which changes how computational analysis and scientific discoveries are made and how much they cost. “This business has the potential to really change things and do well.”
Partner at Menlo Ventures Tim Tully agrees: “Our strategy is to invest in companies that are building the best cloud technology, so the chance to back Julia Computing’s great team and products seem like a natural fit for our portfolio.” We see a lot of new businesses being built with Julia. This is true not only in the scientific computing community but also in a wide range of other businesses and industries. “We think the Julia Computing team will do great things in the future, and we’re excited to be a part of that.”
All of the people who made the Julia programming language got together in 2015 to start Julia Computing. Through its JuliaHub platform, the company offers enterprise computing solutions that can be scaled. The company has recently been focusing on making a set of modern modeling and simulation tools that use machine learning. These tools include the Pumas framework for pharmaceutical simulation, JuliaSim for multi-physics simulation, and JuliaSPICE for circuit simulation. Julia solves the problem of having to use two languages by creating a single language that is both fast and easy to use. Julia is used by more than 10,000 businesses and more than 1,500 schools. Both the James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award went to the people who made Julia.
Dorilton Ventures makes major minority investments in early- to mid-stage technology companies that focus on data-driven areas like IT infrastructure, data science, and cyber security.
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