green AI
for
green businesses
energy-efficient
cost-effective
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The Two-Language-Problem
Take two: energy efficiency & coding flexibility. Thanks to the modern 
language.
Previous data science systems use simple but slow programming languages such as Python or R, which call cumbersome but fast languages such as C, Fortran or Rust in the background.
Two language problem this is called. The consequences: worse performance and less flexibility than if everything were written in one language.
It’s just that there hasn’t been a better solution so far. How nice it would be if you had a language that was both simple and performant.
was developed at MIT specifically to solve the two-language problem - with great success.
Companies that already use Julia are e.g. Microsoft, NASA, Intel and IBM.
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40x less energy consumption than Python. Pereira et al.(2021) - see comparison tables.
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Performance like C, Fortran, Rust. Typically 30x faster than Python. See benchmarks.
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Julia is very easy to learn.
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From prototype to finished product.
Benefits of the programming language
40x less energy consumption than Python
Python/R code can be easily rewritten in Julia and immediately runs massively faster. This saves electricity and costs.
Accelerations by a factor of 10 to 100 are typical.
Learn moreDeveloper friendly
Julia is easy. New people can easily find their way in and prototypes can be created quickly.
In Julia everything is Julia. This simplifies development, finding errors and optimizing. Ideal for successful commissioning.
Learn moreWell maintainable
Julia enables an unprecedented level of code reuse thanks to multiple dispatch.
It will make your solution simpler and easier to maintain.
Learn moreBuilt for data science
Applied mathematics is the main focus of Julia’s ecosystem and community.
You want state-of-the-art machine learning, optimization, simulation or other advanced data processing? It is all there.
Learn moreWhat 
jolin.io offers you
Building a Julia proof-of-concept
Not sure yet if you should use Julia?
The best way to find out is to start small, with a PoC of your choice.
Learn moreMigrating parts to Julia
Jolin.io helps you with all stages: requirements engineering, planning, Julia development, and training of your team.
Migrate from Python, R, Matlab, SAS, Fortran, C++, Java.
Learn moreBig data, real time & HPC
Is your data too large to be processed in time by a single machine? Or do you have streaming processes with realtime requirements?
Jolin.io can provide you with solutions that scale in speed and size.
Learn moreIndividual training & consultancy
Jolin.io offers trainings and assistance at all levels, whether at beginners stage, intermediate or advanced, for prototyping, analysis, reporting, or production use.
Every special request is welcome.
Learn moreYou like to see Julia in action?
In just 3 days we can build you a first Julia prototype - free of charge.
Arrange a meeting or use the contact form: