InLoop

Companies that need manual labor tasks like box assembly, kitting, visual inspection, and unpackaging done today rely on human workers or traditional automation. Traditional automation requires high upfront capital of $100k or more, months of integration time, specialized engineers to maintain it, and is brittle when physical conditions change. Facilities dealing with diverse or frequently changing inventory find such rigid systems hard to adapt. Human labor, meanwhile, carries ongoing costs and turnover.

InLoop offers Robots as a Service: customers pay a flat monthly fee instead of buying hardware, and get the robot, continuous AI updates, and 24/7 teleassistance fallback included. The robots handle tasks like box assembly, kitting (picking, sorting, and packing diverse items into orders), vision-based visual inspection for defect detection, content preparation such as labeling and wrapping, and unpackaging of varied materials. The company states its robots use a 'System 2 intelligence' that, after seeing enough variations during pre-training, can differentiate between different box types or object sets and handle diverse, changing inventory reliably. Deployment is described as taking hours rather than months, with a process that starts with identifying use cases, calculating potential savings, then integrating the robots into the customer's facility. If a robot breaks, InLoop says it sends an immediate replacement, and recommends customers with multiple robots keep a redundant arm on standby.