At Protostar Labs, we build flight-proven onboard data processing systems and optical payloads for satellites and space missions. Our technologies are designed for real-time processing, edge intelligence, and mission-critical reliability — tested in orbit, ready for your next launch.
Space demands more than innovation — it demands systems that perform flawlessly under extreme conditions. At Protostar Labs, we design and deliver flight-proven technologies built for the rigors of orbit.
From AI-powered processing and optical systems to custom electronics, our technologies deliver autonomy, intelligence, and resilience across every phase of your mission — from concept to launch.
We design and deliver mission-ready technologies for the space environment. From early mission planning to in-orbit execution, our systems are built for performance, autonomy, and reliability.
We design systems that analyze data in orbit using AI and machine learning — reducing reliance on ground stations and enabling real-time decision-making.
We build compact, high-performance optical and multispectral imaging systems for Earth observation, scientific exploration, and in-orbit sensing.
Using FPGAs and low-power compute platforms, we deploy AI models that operate reliably in space, delivering fast, efficient, and autonomous analysis.
From concept to orbit, we support the full development lifecycle — from system design and prototyping to integration, testing, and flight software delivery.
Our systems have been deployed in space and validated in orbit — with successful ESA mission heritage.
Every subsystem is built for performance in extreme environments — with a focus on robustness, autonomy, and mission uptime.
Our work in space fuels innovation across industries. Technologies developed for orbit also power our solutions in biotech, manufacturing, and Earth observation.
The goal of this project was to port our proprietary algorithms for anomaly detection to the onboard FPGA (Field Programmable Gate Array) and run the algorithms on the OPS-SAT telemetry data. OPS-SAT was intended for use as a flying laboratory, carrying various instruments and onboard computing resources, namely the FPGA board. The intention was to enable various experiments in orbit for diverse use cases and to achieve first-flight heritage. This enables easier access into the space industry where the motto was: “Has never flown, will never fly!”. OPS-SAT aims to change that!
The light pollution characterization module (LPCM) enables low-cost multispectral Earth observation, especially when integrated into satellites with multiple daily flyovers of an area. It consists of multiple Single Pixel Detectors (SPDs) that are combined with specific wavelength filters, enabling multispectral measurements. Coupled with standard RGB cameras, this enables sensor fusion of RGB images with spectral data – increasing data density and unlocking various use case benefits – more accurate classification and tracking of changes.
Our goal was to develop a low-cost, effective module for collecting spectral data in combination with RGB images to map light pollution from Low Earth Orbit (LEO). The module would collect and process spectral data to enable efficient downlink operations, focusing on transmitting only the crucial data needed for further analysis.
Imaging, spectral analysis, and real-time geospatial intelligence
Onboard processing, anomaly detection, and in-orbit decision-making
Object tracking, orbital monitoring, and collision avoidance
Compact optical systems and onboard AI for space research
Deploy machine learning models on FPGAs for ultra-fast, low-power consumption data processing.
Detect and understand anomalies in your data in real-time. Deployed on the cloud or at the edge.
Let’s create the future together.
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