We build software systems that reduce space mission risk, accelerate time-to-science, and increase scientific return on investment.
Our research scientists become extensions of your team and uncover insights to ensure the end-result works for your data and team.
Formulating a holistic system that accounts for real-time decision making and instills confidence is critical to your mission’s success.
We blend expert software development, the sociology of an organization, and complex data sets into tools you can deploy and trust.
We maintain strict quality control at every production stage, ensuring consistent output for clients across each stage in the process.
Our experienced team combines decades of experience and technical expertise to deliver precise, high-performance solutions.
Optimized workflows enable us to meet tight deadlines without compromising quality or accuracy.
A single function to read all Planetary Data System (PDS) data into Python. Developed as part of a NASA research grant, this application reads nearly all products archived by the Planetary Data System.
The working repository for gPhoton v2 development. The original gPhoton project transformed time-domain astronomy by serving as the world’s first real-time analysis frontend for a >100 TB archive of astronomical events.
A collection of utilities that provide lightweight, Pythonic interfaces to cloud and networked resources. This tool supports our disciplined approach to building resilient, accountable systems that power critical data workflow
Quickly locate objects across the Solar System with powerful, trustworthy software that allows your team to focus on advancing space exploration without limits.
A marslab project for handling archive spectra data files. This repository reflects our deep expertise in multispectral data, which has enormously improved the reproducibility and quality of planetary multispectral science.
Original documents on topics related to software project management. Sharing our internal documentation highlights our commitment to accounting for the realities of human decision-making and avoiding the costly risks of duct-taped software systems.