RESEARCH
High TRL Systems for Solar Situational Intelligence
The Sun is the primary driver of the operating environment for all modern space assets and human exploration. Trusted situational intelligence is a crucial capability as we become a space faring civilization. Our focus is on the scalability, reliability, and the model life cycle of machine learning models that transform raw solar data into actionable, real-time decisions.
Heliolab “Ops” is dedicated to the engineering required for humanity’s return to the Moon and the expansion of permanent space infrastructure as we continue to bridge the gap between solar science and mission-critical deployment by developing robust, production-grade AI.
Production-Scale Pipelines: Implementing automated CI/CD for complex heliospheric datasets.
Enhanced Performance: Optimizing model performance to meet real-time latency requirements.
Operational Reliability: Moving beyond black-box pipelines toward interpretable, reproducible high-uptime systems that can be trusted by mission control.
Open Science Engineering: Building standardized, reproducible frameworks that allow the global research community to access at scale.
