# Nomagic

> Nomagic is a warehouse robotics company applying breakthrough general-purpose Physical AI to automate picking, packing, sorting and induction for high throughput and reliability in complex fulfilment warehouses. Founded in 2017 and headquartered in Warsaw, Poland, its robots learn from millions of real-world tasks in 24/7 environments.

Nomagic combines multi-layer AI, proprietary robotics hardware and real-time cloud data to power intelligent, autonomous fulfilment. Its AI modules, including Grip AI, Place AI and React AI, enable robots to identify objects, determine optimal grasp and placement, and react instantly to anomalies and changing inventory. A no-code, Robotics-as-a-Service deployment model integrates with existing WMS and WCS systems without disruption, and a standard API lets robot integrators add Nomagic's intelligence layer to their own hardware.

Trusted by leading retailers, e-commerce distributors and 3PLs including ASOS, Zalando, Arvato, Fiege, Komplett and Brack, Nomagic serves sectors such as fashion, general merchandise, pharmaceuticals and groceries. The company has raised over 84 million US dollars to scale deployments across Europe and the United States.

Last updated: 2026-10-22

## Overview

- [Home](https://nomagic.ai): Homepage covering Physical AI for end-to-end warehouse automation.
- [XML sitemap](https://nomagic.ai/sitemaps.xml): Complete index of all indexable pages.
- [Site search](https://nomagic.ai?s={query}): Keyword search across the site.

## Key pages

- [Library of Chaos](https://nomagic.ai/library-of-chaos/)
- [Pocket Sorter](https://nomagic.ai/solution/pocket-sorter/)
- [Technology](https://nomagic.ai/technology/)
- [Research Papers](https://nomagic.ai/research-papers/)
- [Meet us at MODEX 2026](https://nomagic.ai/meet-us-at-modex-2026/)
- [Solutions](https://nomagic.ai/solutions/)
- [Modex 2026](https://nomagic.ai/events/modex-2026/)
- [AI Roadmap](https://nomagic.ai/ai-roadmap/)
- [Nomagic University Lab](https://nomagic.ai/nomagic-university-lab/)
- [Innovation Hub](https://nomagic.ai/innovation-hub/)


## Optional

Recent news, insights and breakthroughs in Physical AI and warehouse automation. Lower priority and safe to skip under limited context.

- [Don't Wait for the Failure: Multiplying Deployment Data via Simulation](https://nomagic.ai/dont-wait-for-the-failure-multiplying-deployment-data-via-simulation/): By Szymon Trochimiak, Senior ML Research Engineer For physical AI, simulation and real-world are not competing but complementary data sources. Sometimes an item opens while the robot is carrying it. If the robot can see a disassembled item, it can stop and ask for help. That is the job of Live Anomaly Detection (LAD, for […]
- [The Last Few Percent: Getting Visual Order Verification Production-Ready (UPDATED)](https://nomagic.ai/the-last-few-percent-getting-visual-order-verification-production-ready/): By Michał Grzejdziak-Zdziarski, Senior Machine Learning Manager; Markus Wulfmeier, Chief Scientist Making sure every order that ships to a customer is correct sounds like a solved problem until you look at what actually happens on a warehouse floor. Depending on the process, roughly 1% of orders still go out with errors: generating extra costs, operational […]
- [A Humble Pivot for Physical Artificial Intelligence](https://nomagic.ai/a-humble-pivot-for-physical-artificial-intelligence-2/): By Markus Wulfmeier, Chief Scientist In our pursuit of general-purpose physical AI, our field keeps looking to the horizon: designing massive simulations, scraping internet video, curating ever-larger teleoperation datasets. Yet robotics is already quietly producing its own analogue of internet-scale data: deployment data from real systems doing real work in production.  The most relevant “internet […]
- [The Dataset Advantage: Why Real-World Experience Is the Future of AI-Powered Warehouse Automation](https://nomagic.ai/the-dataset-advantage-why-real-world-experience-is-the-future-of-ai-powered-warehouse-automation/): By Filip Grządkowski, VP Engineering In the race to automate the physical world, not all intelligence is created equal. For years, robotics has been driven by breakthroughs in AI labs: models trained on simulations, synthetic data and controlled environments. These advances are impressive, but they share a critical limitation: they are built far from where […]
- [The 99.9% Chasm: Why Reliability is the Last Moat in Physical AI](https://nomagic.ai/the-99-9-chasm-why-reliability-is-the-last-moat-in-physical-ai/): Reliability, not hardware or AI models, is becoming the true competitive moat in Physical AI. As robots move from demos to real‑world use, only systems that reach 99.9% reliability will survive.
- [Nomagic CEO Kacper Nowicki Named a Digital Shaper 2025](https://nomagic.ai/nomagic-ceo-kacper-nowicki-named-a-digital-shaper-2025/): The award highlights leaders and innovators who have significantly contributed to the development of Poland's digital ecosystem and technological landscape.
- [Nomagic highlighted as Robotic Picking leader in latest Stiq research report](https://nomagic.ai/nomagic-named-leader-in-latest-stiq-research/): Robotic Picking is emerging as one of the fastest growing Warehouse Automation categories, introducing new capabilities to age old challenges. Nomagic is highlighted as a category leader and innovator in this detailed report.
- [How AI Powered Robots Are Reshaping Warehouse Efficiency in 2025](https://nomagic.ai/how-ai-powered-robots-are-reshaping-warehouse-efficiency-in-2025/): In the ever evolving world of logistics, 2025 marks a defining moment. AI powered robots are no longer experimental add-ons or niche tools. They are now the operational backbone of smart warehouses. As global supply chains face increasing pressure to deliver faster, more accurately and more sustainably, warehouses are turning to intelligent automation not just […]
- [Inside the Visionary Nomagic University Lab Initiative](https://nomagic.ai/inside-the-visionary-nomagic-university-lab-initiative/): Discover how the Nomagic University Lab is pioneering robot learning and manipulation with advanced AI research, real-world internships, and academic partnerships.
- [ML Projects Done Right: Our Story with ClearML](https://nomagic.ai/ml-projects-done-right-our-story-with-clearml/): If you’ve worked on early machine learning projects, you probably know the feeling. You have code scripts everywhere, various spreadsheets with scores & parameters written down, and randomly named files with model weights. 

We needed a tool that could track our experiments & artifacts and more importantly, bring order to our entire AI development process.