Sereact is building vision-language-action models into warehouse robot picking

Series A And Warehouse Customers

Sereact said on January 20, 2025 that it raised 25 million euros in Series A funding. Creandum led the round alongside Point Nine and Air Street Capital.

The same release names Daimler Truck, Bol, MS Direct, and Active Ants as customers. Public material does not break out paid deployments, site count, or robot count by customer under Sereact.

PICKGPT And VLAM Software

Sereact describes its Vision Language Action Models as hardware-agnostic models for robots in warehousing and logistics. The models interpret visual input and language instructions so robots can select task actions without fixed programming sequences.

As of reviewed 2025 product context, the PICKGPT product surface gives users a natural-language interface for robot tasks. The unresolved operating metric is verified pick success by SKU class under Sereact.

Sereact Verification Boundary

Sereact has disclosed the January 20, 2025 Series A, Creandum lead investment, named customer references, VLAM positioning, and PICKGPT product context. Public material does not show paid deployment count, robot count by customer, pick success rate by SKU class, autonomy intervention frequency, or commissioning time by integrator. It also does not disclose pricing, customer retention, renewal rate, or repeat deployment rate. The next useful metric is verified successful picks per robot per shift by customer under Sereact.

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