Invisible AI

Invisible AI provides a computer vision platform for manufacturing plants that it describes as a "vision execution system." Lightweight cameras installed at workstations record every production cycle on every line and shift, and AI models analyze human motion and objects on the factory floor in real time. The system converts manual assembly work into structured, cycle-level data automatically, replacing stopwatch-and-clipboard time studies with continuous data collection, and pushes insights to industrial engineers and team leads — surfacing cycle time variability, process drift and improvement opportunities.

The product is organized around four solution areas: continuous improvement (cycle-level data across lines and shifts in place of manual time studies), production management (real-time line status with alerts when cycle times drift, throughput drops or a station falls behind), quality (identifying station-level process deviations before escapes and tracing issues to a specific cycle with video context, including tracking a vehicle by sequence or body number), and safety and ergonomics (automatic ergonomic risk data flagging high-risk stations). The company also offers Studio, described as an experiment, which sketches standard work from uploaded shop-floor video.

Business model

Invisible AI sells a camera-and-software system deployed at customer plants, accompanied by on-site Vision System Engineers who support implementation and platform adoption. Customer commentary on the company's site references return on investment measured per device, indicating a device- or deployment-based commercial arrangement.

Traction

The company's site cites use by leading automakers, including a Toyota testimonial, and customer quotes describing expected 3-5x ROI per device, $1,000 saved per minute of prevented downtime, and $200,000 in annual savings per removed workstation. Other customers report using the system daily for defect investigation and audits, root-causing line issues by serial number in minutes, monitoring highest cycle times on the dashboard to protect throughput, and identifying AGV downtime.