What are we solving ?

Most of what happens on your floor is captured by cameras and sensors — and almost none of it is acted on in time. Safety incidents, quality defects, and mishandled goods all happen in plain sight, but get noticed only after they've become a loss. Thinking Stack closes that gap, turning footage you're already recording into action the moment it matters.

What do we offer ?

The core product is an open-systems Visual AI platform with a tiny footprint on your infrastructure: it ingests any visual input i.e, video, images, LiDAR, thermal, IR and any sensor data, then runs deep-learning models at the edge to return decisions in under a second. 

It captures movement and events in the real world — the live shift, the actual dock, the running line, rather than in a report after the fact. 

Then its agentic layer perceives, reasons, decides, and acts. It's positioned to fill the gap between the visual data you already own and the action you actually need, adding a real-world understanding-and-action layer where today there's only footage no one watches..

What it's used for ?

Profiling every operational moment i.e, a worker entering a hazard zone, a defect on the line, a damaged pallet at receiving, a queue building in-store, to support safety, quality, productivity and loss prevention. 

The platform is built to catch issues the instant they happen, prevent losses before they're booked, and run autonomously by detecting changes in operations that a fatigued human monitor cannot see across hundreds of feeds, including the subtle anomalies that signal risk. It's used across manufacturing, logistics and retail