Machine learning integrated across the mission lifecycle.
FOGI-Lake (Flight software, Operations, Ground systems, and Intelligence) is EFSI's integrated framework for incorporating machine learning across the mission lifecycle. Rather than treating AI as a standalone tool, FOGI-Lake serves as a continuous integration and deployment (CI/CD) environment specifically tuned for the rigors of aerospace.
A CI/CD environment purpose-built for integrating machine learning into mission-critical spacecraft systems.
FOGI-Lake synchronizes development between flight and ground segments, ensuring that AI models trained in the ground system are architecturally compatible with edge-resident flight hardware.
We specialize in optimizing heavy ML models for deployment on resource-constrained edge processors, maintaining high fidelity while adhering to strict power and memory budgets.
By leveraging the FOGI-Lake local environment, we ensure that the development, training, and deployment of edge-based models remain entirely within our secure boundary — eliminating reliance on external cloud-based ML services.
FOGI-Lake automates the generation of mission-critical unit tests and telemetry validation, reducing the time-to-flight while increasing overall system reliability.