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Julia Computing

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Founded 2015
People 40
Location United States (USA)
Sector Consulting

Start up Profile

Julia is a new programming language that combines the productivity of languages like R, Python, or Matlab with the performance of C and Fortran. Julia provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive library of fast mathematical functions. It is being used by a number of universities for teaching and research, and by businesses in areas as diverse as engineering, finance, and e-commerce, to name a few.

Julia Computing was founded by the creators of the Julia language. We help our customers solve complex and challenging computational problems that run on thousands of processors in the cloud or on matchbox sized systems in ones pocket.

Julia has 17 Million downloads and growing exponentially. Julia is used in 10,000+ companies and in 1000+ Universities.

Julia Computing has raised a total of $4.6 million in funding over 1 round. This was a Seed round raised on June 19,2017. The company has been funded by 2 investors. General Catalyst and Founder Collective are the most recent investors.

Products

JuliaSure

JuliaSure offers development support, production support and indemnification to companies using Julia. Their support service and tools provide majority productivity benefits in the development of your Julia applications.

JuliaTeam

JuliaTeam makes it easy and safe for developers, data scientists and IT managers to install and manage public and private packages, adhere to enterprise governance policies, deploy and scale applications, manage licenses and setup CI (Continuous Integration).

JuliaPro

JuliaPro is free to download and is the fastest on-ramp to Julia for individual researchers, engineers, scientists, quants, traders, economists, students and others. Julia developers can build better software quicker and easier while benefiting from Julia's unparalleled high performance. JuliaPro is lightweight and easy to install. 

JuliaRun

JuliaRun takes the guesswork out of building scalable solutions and can be used by data scientists and engineers with little to no knowledge of how such systems need to be architected. A Julia user can develop an application using JuliaPro and deploy it into a scalable robust deployment environment with a single click.

Pumas

Pumas is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline. It is used for simulation and estimation of quantitative pre-clinical and clinical pharmacological models. This includes pharmacokinetic and pharmacodynamic (PK/PD), physiologically based pharmacokinetic (PBPK), and quantitative systems pharmacology (QSP) models. Pumas can also perform non-compartmental analysis (NCA), bioequivalence and in vitro-in vivo correlation (IVIVC) analysis providing a common toolset to perform all analyses in the horizontal of clinical drug development and clinical trial simulation.Pumas is the first platform to provide true integration of pharmacometric models with convolution neural networks and other machine learning approaches. Pumas is massively scalable with an inherent ability to run on GPUs and on any hosted or private cloud computing setups in conjunction with JuliaTeam and JuliaRun. 

Founders

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Dr. Viral B. Shah

Julia Computing

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Deepak Vinchhi

Julia Computing

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Stefan Karpinski

Julia Computing

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Dr. Jeff Bezanson

Julia Computing

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Keno Fischer

Julia Computing

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Prof. Alan Edelman

Julia Computing

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