Seeteria Launched AI Warehouse Monitoring Platform
The startup uses existing security cameras to help floor supervisors identify and reduce operational bottlenecks.
Updated on Oct. 1, 2026 in Manufacturing
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Startup Seeteria has released an AI platform designed to optimize warehouse operations by monitoring activity through existing security cameras. The software alerts supervisors in real time to congestion and idle equipment to improve facility efficiency.
Why it matters
Small operational delays, such as idle dock doors or staging congestion, accumulate into significant capacity losses per shift. By leveraging current infrastructure, the tool aims to minimize these bottlenecks without requiring new hardware installations.
The system targets warehouses with at least 8 dock doors to address inefficiencies that cause supervisors to walk up to 8 miles per shift. It tracks incidents including 7-minute idle dock door gaps and 15-minute staging area congestion events.
The players
Seeteria
An AI startup that develops software to monitor warehouse efficiency using existing security camera networks.
CoLab
A Chattanooga-based business accelerator that supports the development of early-stage technology companies.
The details
The platform connects to Wi-Fi-enabled camera networks to track objects like forklifts, pallets, and dock doors while excluding individual people. Supervisors receive color-coded mobile alerts in real time to address bottlenecks, following the company's development stint at Chattanooga's CoLab accelerator.
Timeline
October 1, 2026: Article publication date.
Imminent: Seeteria launches a new pilot program in Chattanooga.
Market Landscape
This platform represents the ongoing integration of computer vision into industrial automation to replace manual oversight. It positions Seeteria against established facility management software providers by utilizing pre-existing camera infrastructure to minimize installation costs.
Warehouse supervisors and operators can expect potential workflow improvements and reduced walking distances by utilizing mobile alerts for facility bottlenecks. The software provides a non-invasive way to optimize shift capacity using infrastructure already present in many U.S. warehouses.
The takeaway
Real-time visibility into physical warehouse movements can prevent the accumulation of minor delays that hinder total shift output. Facilities considering such tools should evaluate their existing camera networks to determine if they meet the connectivity requirements for AI integration.
Further reading
For more on industry advancements, see Manufacturing.
Source note: This article includes information reported by FreightWaves.
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