Red Cardinal, our first high-performance data processing unit for space.
Red Cardinal combines computing hardware, controlled software, and system-level integration in one cohesive platform designed for real operational environments.
Red Cardinal is a GPU-based computing platform for in-orbit and edge data processing. Performance, software control, and system integration in one unit, built for autonomous missions. (put the bullet points here too, but open with this line)
A Linux-based software environment built for control, flexibility, and reliable operation across the full system.
Designed as part of a complete architecture, Red Cardinal integrates compute, networking, and storage into a unified system.
How we work matters as much as what we build. These principles shape the way we move from idea to mission-ready systems.

We aim high and choose problems worth solving, with the intention to build technology that genuinely moves the field forward.

We care about systems that hold up in reality, which means validating deeply, testing thoroughly, and engineering with care.

We believe progress comes from moving quickly with focus, learning fast, and improving continuously as the system matures.
From performance and software control to interfaces and integration, we can help you evaluate the platform against your mission needs.
Here are all the answers
The platform supports AI inference, image and signal processing, and data-intensive applications.
It is optimized for workloads requiring high performance under constrained power and thermal conditions.
The system is designed with fault management, monitoring, and mitigation strategies (ECSS, ESA Delta/Gamma Class)
It is validated through testing approaches that reflect real operational constraints.
Yes. The platform is designed to operate both as a standalone unit and as part of a distributed architecture.
It can integrate into larger systems involving multiple compute nodes.
The platform is designed around a compact, embedded form factor (PC104) suitable for constrained environments.
It can be adapted to standard integration approaches, including CubeSat-class platforms.
Power consumption is configurable depending on mission requirements.
Through software control, the system can operate from sub-5W in low-power modes up to ~40W for high-performance workloads. Idle mode is below 1W.