Our mission
Make every warehouse count accurate, safe, and continuous, so teams can act on what is really on the rack.
A physical AI company, built inside working warehouses.
About us
Algo Labs builds autonomous robots and computer vision that count and inspect every pallet position in a distribution center. Our robot reads full racks up to 12 meters high, photographs every position, and flags broken film, open cases and damage on the same pass, so operators know exactly what is on the shelf without stopping the floor. Accuracy is above 95%, and the same vision platform is moving to the dock with Pallet In / Pallet Out.
Make every warehouse count accurate, safe, and continuous, so teams can act on what is really on the rack.
Hardware and AI built for long shifts, tall racks, tight aisles, and busy docks.
Every position we read comes with a photo, and we measure ourselves against official counts. Accuracy is above 95%.
Our story
Each step came from a warehouse that was already running.
Early pilots in working warehouses. The lesson was simple: the count had to survive a full shift and a real rack.
Forklift-mounted scanning goes into production at scale, across five distribution centers of a leading food manufacturer.
A horizontal level sweep, higher-resolution cameras, and new models. Accuracy is above 95%.
Robot XL runs inventories in production, above 95% accuracy, with no operator in the aisle. Mexico now, Texas next.
Leadership
Technology and operating people, in Buenos Aires and Dallas.
Serial entrepreneur and co-founder of NXTP Labs, one of Latin America’s best-known startup accelerators. Leads strategy, operations, and customer relationships.
Technology leader with more than 25 years across AI, software, and hardware. Architect of the path from computer vision to edge AI and autonomous robotics.
Corporate and enterprise executive with leadership roles at PepsiCo and Keurig Dr Pepper. Leads U.S. partnerships, enterprise conversations, and the Dallas base. The robot is not available for operation in the United States yet.
Partners and alliances
The strip is technology and ecosystem only. We do not publish customer names or customer logos. Where we do not have a logo file, the name is set in type.
Partnership
We work with partners on products and deployments, so operators can learn from the data their buildings already produce. If you are a technology, channel, or operations partner, write to us.
Careers
We are a lean team of engineers, roboticists, and operators across Buenos Aires and the United States. If you want your work running inside large warehouses, we would like to hear from you.
Tell us what you want to build and where you are based.
team@algolabs.ai