Custom Software For Scientists

Axiomix Consulting writes high performance software, so scientists can evaluate hypotheses faster and get feedback from experiments sooner. Drive progress in your field by getting more done in less time.

Cutting edge problems often involve large datasets and time-consuming computations. Axiomix Consulting writes software that helps you tackle the hardest challenges in your field.

Axiomix Consulting writes clean and well-tested code. Catch errors in your process early so you can trust results and avoid rework.

Every line of code costs time and money to produce. Axiomix Consulting writes software that is modular and maintainable, so the software for this research project can be the foundation for the next project.

Axiomix Consulting helps scientists optimize their code. Faster software can increase productivity on problems of fixed size, or make it feasible to solve problems of larger size.

Whether selecting experiments to run, interpreting experimental results, or guiding the design of devices, Axiomix Consulting builds simulations that deliver value fast.

Not all data comes in a ready-to-use format. While data can be prepared manually, it is tedious and error-prone work. Axiomix Consulting can write software to get your data ready faster and more accurately.

These services are just a sample of what Axiomix Consulting can do. Need something different? Schedule a call to talk about the challenges or opportunities you see.

Jonathan (Jon) Jove is the founder of Axiomix Consulting.

Jon was formerly a Staff Software Engineer at The Stellar Development Foundation, where his responsibilities included protocol design and protocol implementation. This required careful consideration of security and performance. Ensuring that code was high quality and thoroughly tested were important aspects of his role. During Jon's time at Stellar, he was listed as an author on the paper fast and secure global payments with Stellar.

Jon graduated from MIT in 2015, where he double majored in mathematics and physics with a minor in economics. Some of his favorite courses at MIT included quantum mechanics, functional analysis, and game theory. Jon has continued to pursue his interests in math and science through self-study since graduation.