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The archive · Hardware & Devices · Product decision · 2021–2026

Sereact bets warehouse robots fail on software; $135M later, 200+ systems run

Stuttgart's Sereact sells AI brains that make any robot arm pick unseen objects on natural-language commands — €25M Series A, then $110M Series B.

Sereact

The betWarehouse automation's bottleneck is software, not hardware: a zero-shot vision-language model lets any robot arm handle unseen objects via plain language in a day.Scaling

What the business is

Sereact sells vision-language-action AI software that turns industrial robot arms into autonomous pick-and-pack workers for warehouses and factories.

Starting capital$5M seed (Point Nine, Air Street Capital, 2023); €25M Series A (Creandum-led, Jan 2025); $110M Series B (Headline-led, Apr 2026); $140M+ raised to date

How it started

University of Stuttgart robotics researchers Ralf Gulde and Marc Tuscher founded Sereact in 2021 convinced that the robotics bottleneck was intelligence, not mechanical hardware. Their PickGPT combined computer vision with LLMs so operators with no technical training could instruct and debug robots in plain language.

What happened

By 2023 Sereact claimed 1,500 picks/hour, up to 77% cost savings per pick, and customers including Daimler Truck and Bol. In January 2025 Creandum led a €25M Series A; customers grew to include BMW. In April 2026 Headline led a $110M Series B, with Bullhound, Daphni, and Felix Capital, to fund Cortex 2.0 and a Boston US office.

How it ended up

Still scaling: 200+ Sereact systems run in production across Europe for BMW, Daimler Truck, PepsiCo, Austrian Post, and others; over 1 billion picks completed, and total funding passed $140M as it opens its first US office.

Background

Sereact, founded in Stuttgart in 2021 by robotics researchers Ralf Gulde and Marc Tuscher, bet that warehouse automation was stuck because of software, not robots. Pick-and-pack is roughly 55% of warehouse operating cost, yet traditional automation took weeks to program, flinched when product ranges changed, and needed constant human oversight. Their answer, PickGPT, let an operator simply chat with a robot arm: no code, no retraining for every new object.

The bet funded itself in steps. A $5M seed from Point Nine and Air Street Capital in 2023 backed a product claiming 1,500 picks per hour and up to 77% savings per pick. In January 2025, Creandum led a €25M Series A with Daimler Truck, Bol, and BMW among customers. In April 2026, Headline led a $110M Series B — with Bullhound, Daphni, and Felix Capital — to scale Cortex 2.0 and open a Boston office for the US push.

As of September 2026, Sereact reports over 200 systems live in European production environments and more than one billion picks completed on its Cortex platform. Its zero-shot approach means robots handle objects they were never trained on, learning from every real pick. The company is still scaling and remains software-first in a market full of hardware bets.

The case is not settled: Sereact must prove its software can generalize across robot brands and hold margins against hardware giants moving into AI. But its trajectory shows a coherent thesis — the brain, not the arm, is where value accrues.

What has to be true

  • Pick-and-pack being roughly 55% of warehouse cost gave the startup a budget line customers already felt, making the pitch concrete.
  • Zero-shot plus natural language inverted the adoption curve: deploy in a day instead of months, and let non-technical staff do the instructing.
  • Every production pick generates real-world data that improves the model, creating a compounding lead over synthetic-data rivals.
  • Staying software-first and hardware-agnostic made 200+ systems across different robot types possible without owning a factory.
  • Investor concentration (Point Nine, Air Street, Creandum, Headline) kept the story consistent across four rounds in three years.

What can be applied

When a market defaults to hardware, sell the software brain that runs any arm: deploy in a day, and let real production data compound the moat. Aim at a cost line the customer already budgets for.

Aftermath

Sereact is scaling into the US through its first Boston office while updating Cortex rapidly — versions 1.5, 1.6, and 2.0 shipped within months in 2026, and Cortex 2.0 adds a world model that scores candidate trajectories before the arm moves. Customers now include BMW, Mercedes-Benz, Daimler Truck, PepsiCo, and Austrian Post, with one remote intervention per roughly 53,000 picks. Zalando joined the Series B in July 2026, taking the round to $116M. Its next test: generalizing beyond logistics into manufacturing and mobile robots.

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