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KP Labs

Compiled from public sources on 2026-05-24. Not independently verified by KP Labs.

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Polish onboard satellite data processing and AI company headquartered in Gliwice, founded 2016 as a Silesian University of Technology spinout. Polish Ministry of Science R&D Centre designation. Smart Mission Ecosystem product line: Leopard DPU (flagship onboard data processing unit for micro/mini/CubeSat-class, PC-104 compatible, deep neural network inference for real-time data reduction and object detection, compatible with the Simera Sense HyperScape100), Lion DPU (50-500 kg satellite class), The Herd algorithm suite for onboard image correction and EO analytics, Oasis EGSE for ground-side validation, and Smart Mission Lab cloud platform for AI/DPU validation with access to space-grade DPUs within 48 hours. 7 active space missions with collaborations including ESA, NASA, OHB, AAC Clyde Space, and OpenCosmos. Intuition-1 (6U hyperspectral CubeSat, SpaceX Transporter-9 November 2023) is the key flight-heritage demonstrator. ESA Supplier Performance Award (Innovation) 2024.

KP Labs (KP Labs Sp. z o.o.) is a Polish private space technology company founded in 2016 in Gliwice, Poland, by graduates of the Silesian University of Technology.[1] The company designs and manufactures onboard data processing units (DPUs), flight software, AI algorithms, and cloud validation infrastructure for nano and small satellites, and operates Intuition-1, its own 6U hyperspectral CubeSat in orbit since November 2023.[1][2]

KP Labs' core hardware product line spans three DPU tiers targeting different satellite classes. The Antelope DPU (PC/104, 160 GOPS, Zynq UltraScale+ ZU2-ZU5) targets CubeSats and completed an 8-week in-orbit demonstration in 2023. The Leopard DPU (PC/104, 3 TOPS demonstrated in orbit, 5-20 W, Zynq UltraScale+ ZU6/9/15EG) targets micro and mini satellites and is the onboard processor on Intuition-1, where it runs the Xilinx Vitis AI framework to execute quantised convolutional neural networks for cloud detection, image segmentation, and hyperspectral data compression in real time.[2][3] The Lion DPU (ADHA 3U module, Kintex UltraScale KU060, up to 30 W, SpaceWire and SpaceFiber interfaces) targets medium and large satellites and carries an ESA Mission Class III/IV rating.[4]

Intuition-1 is the company's primary flight-heritage demonstrator. Launched 9 November 2023 on a SpaceX Falcon 9 (Transporter-9) rideshare into a 535 km SSO at 97.5 deg inclination, the 6U CubeSat (12 kg, bus by AAC Clyde Space) carries the Eagle Hyperspectral Imager (192 bands, 465-940 nm, 25 m GSD, 40 km swath) and a Leopard DPU.[2] The mission is funded by Poland's National Centre for Research and Development (2023-2027). ESA Phi-lab contributed machine learning pipeline development through the Genesis FutureEO activity, and ESA classifies Intuition-1 as a Phi-lab-enabled satellite.[5] The Leopard DPU demonstrated uninterrupted deep-learning inference in orbit over its first year, reducing scene data volumes from approximately 7 GB to 70 MB through onboard AI processing.[6]

On the software side, Oryx is KP Labs' mission and payload flight software stack, flown on Intuition-1. The Herd is an algorithm suite with flight heritage on Intuition-1 and ESA's Phi-sat-2 (launched August 2024); it covers CNN-based cloud detection, vegetation indices, semantic segmentation, object detection, hyperspectral classification, and satellite telemetry anomaly detection.[7]

Smart Mission Lab (SML) is a Hardware-as-a-Service cloud platform developed under the ESA InCubed SMEaaS contract, launched commercially in March 2025. It provides remote access to flight-representative Antelope, Leopard, and Lion DPU hardware for pre-flight algorithm validation. The InCubed contract (prime contractor: KP Labs) closed on 28 May 2025 with all deliverables accepted.[8]

KP Labs received the inaugural ESA Supplier Performance Award (Innovation) at ESA Industry Space Days in September 2024, recognising the high volume of innovative proposals submitted over three years.[9] The company also contributes AI algorithms to ESA's M-Argo asteroid CubeSat mission and developed the GLOWS Lyman-alpha photometer instrument for NASA's IMAP heliosphere mission (in collaboration with CBK PAN) since 2021.[1]

Operates

  • Intuition-1operational

    launched 2023-11-11 / SSO 535 km, 97.5 deg / 40 km swath

Manufactures

Sensors
  • Intuition-1 Eagle HSIVNIR465-940 nm / 192 bands

    operational

    Operator pricingPricing not publicly listed by operator
Analysis services
  • Leopard DPUAnalysis serviceEO-oriented onboard AI/ML data processing unit for micro-, mini-, and CubeSat-class satellites. PC/104 form factor, AMD Zynq UltraScale+ MPSoC, 3 TOPS onboard inference, 5-20 W. Workloads include hyperspectral reduction and compression, cloud detection, change detection, FPGA-accelerated custom signal processing, and in-orbit algorithm reconfiguration.
    Operator pricingPricing not publicly listed by operator
  • Lion DPUAnalysis serviceEO-oriented onboard AI/ML data processing unit for medium- and large-class satellites (up to 600 kg). ADHA 3U form factor, Kintex UltraScale KU060 FPGA, up to 30 W, ESA Mission Class III/IV rated. Workloads include multi-sensor real-time data fusion, vision-based autonomous navigation, FPGA-accelerated DNN inference, and autonomous spacecraft operations. SpaceWire and SpaceFiber high-bandwidth payload interfaces.
    Operator pricingPricing not publicly listed by operator
  • Smart Mission LabAnalysis serviceCloud-based remote access to space-grade KP Labs DPUs (Leopard, Lion, Antelope) for pre-launch algorithm development, hardware validation, and onboard AI testing. Subscription model with hardware available within two days of purchase. No physical hardware required upfront.
    Operator pricingPricing not publicly listed by operator
  • Antelope DPUAnalysis service
    Operator pricingPricing not publicly listed by operator
  • The HerdAnalysis service
    Operator pricingPricing not publicly listed by operator
data platform
Sources
Cite https://eo-atlas.org/companies/kp-labs Markdown twin → Field definitions →