"In 2017, the founders took what they learned about teaching helicopters to fly and land safely and launched Gather AI. Using off-the-shelf cameras placed on strategic moving equipment like forklifts, as well as off-the-shelf drones flying around the warehouse, the cameras watch on-the-floor operations and log what they find into the warehouse management systems. But the catch is, the AI isn't being random about what it scans. It is being "curious," as Arora described it."
"In addition to barcodes, they look for lot codes, text, expiration dates, case counts, damages, occupancy, and other items. The idea is that they will discover and predict issues like low inventory, misplaced stock, and workflows that may cause safety issues. They also work in environments unfriendly to people, like freezers and cold storage. Because Gather's underlying tech was built years before the age of large language models, this is not the kind of AI that an LLM uses."
Gather AI raised $40 million in a Series B funding round led by Smith Point Capital, the venture firm founded by former Salesforce co-CEO Keith Block. The company was founded by four Carnegie Mellon PhD students who previously built autonomous helicopters and tested them at FBI training grounds. Gather AI places off-the-shelf cameras on moving equipment and deploys drones to monitor warehouse floors and log findings into warehouse management systems. The AI uses curiosity-driven methods to seek barcodes, lot codes, expiration dates, case counts, damages, and occupancy, combining classical Bayesian techniques with neural networks to predict inventory, misplacement, and safety issues, and to operate in cold storage environments.
Read at TechCrunch
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