ProtoSDK
ProtoSDK is a development framework that simplifies the deployment of advanced ML/AI models onto FPGA hardware. It enables mission teams with limited hardware experience to convert their signal or image-processing models into high-performance onboard accelerators.
Simplifying FPGA Deployment for Space Missions
Faster Time to Orbit
Deploy your AI models without writing low-level code. ProtoSDK streamlines integration—so you can go from lab to launch, faster.
Flight-Proven Framework
ProtoSDK has already been utilized to deploy anomaly detection on ESA OPS-SAT mission.
Smarter Payloads, Greater Value
Process data directly in orbit to reduce bandwidth, focus on priority events, and extract real-time insights—without waiting for ground analysis.
No Hardware Complexity
ProtoSDK hides the complexity of FPGAs. Your AI/ML teams can stay in familiar tools like PyTorch while still targeting efficient, space-ready systems.
How it Works?
Step 1.
Model Training
Creation of use-case specific models from supported architectures
Step 2.
Quantization
Optimization of the model to lower memory footprint.
Step 3.
Compilation
Transfering the model from standard format to FPGA-compatible format
Deployment
Who it's For
Satellite Operators & Mission Planners
Improve operational efficiency with onboard AI inference.
Sensor & Payload Developers
Add onboard AI capabilities like anomaly detection, image segmentation, or object classification with minimal hardware changes.
System Integrators
Speed up delivery cycles and reduce integration overhead by using a unified deployment framework.
Have a unique mission requirement?
Go beyond off-the-shelf solutions. Our core expertise lies in the end-to-end engineering of custom optical payloads. From optical design and sensor integration to flight-ready hardware, we also build instruments precisely tailored to your mission goals and requirements.