Seeteria's AI uses existing warehouse

Seeteria's warehouse AI platform uses a facility's existing Wi-Fi-connected cameras to analyze activity in real time, detecting disruptions like idle dock doors and blocked aisles without requiring new hardware or integrations. The system alerts supervisors when disruptions, idle dock doors, forklift queues, overloaded staging areas, blocked aisles, require immediate attention.

Alerts and insights by user role

Floor supervisors receive live push alerts on a mobile or tablet app showing a color-coded status for each door and zone, green, yellow, or red. The app was built to reduce the burden of walking, as warehouse supervisors walk roughly 8 miles per shift, rather than replace the worker. Warehouse managers receive a post-shift summary of bottlenecks to improve flow shift over shift. Executives see a financial-impact view tied to metrics such as detention fees and missed throughput targets.

Privacy-first design and founder vision

The system is designed to be completely blind to people, focusing only on objects and movement to address worker privacy concerns. It identifies objects, movement, zones, and events, forklifts, pallets, dock doors, and congestion patterns. Founder Sarit Tamir stated that the decision was driven by a commitment to worker privacy and an effort to reduce anxiety about AI surveillance on the floor. "The system is completely blind to people," said Tamir.

Impact of small disruptions

Minor delays compound across shifts into hours of lost capacity, undermining warehouse efficiency despite appearing inconsequential individually. These incidents can look trivial in isolation but become significant when compounded across dozens of doors and forklifts over an eight- or ten-hour shift.

Company background and pilot progress

Seeteria is an early-stage warehouse AI startup founded by Sarit Tamir, who has spent more than a decade building AI and computer vision solutions for logistics, warehousing, and manufacturing. The company name derives from Soteria, the Greek goddess of safety, with the spelling changed from 'SO' to 'SEE' to reflect its computer vision focus, a change traced by the founder to a family visit to the Vatican in Rome. Seeteria recently completed a stint at the CoLab accelerator in Chattanooga, Tennessee, a connection made at the Home Delivery World conference in Nashville. "Our goal all the time is to get the warehouse more capacity from the resources that they are already paying for," said Tamir.

Seeteria is actively recruiting U.S. Pilot partners for facilities with at least eight active dock doors and a meaningful forklift fleet, with a new pilot launch in Chattanooga imminent. Smaller operations are unlikely to see sufficient return.