"A surprising amount of our scrap came from incorrect expiration dates printed on packaging. Operators had to calculate Julian Date codes manually, leading to frequent mistakes and large volumes of finished product being rejected. Squint became our AI verification layer—reading the printed code, recomputing the correct value, and flagging any mismatch in real time before product runs for hours."

"We were experiencing repeated sanitation failures that forced five cycles per week instead of the intended 46-hour run, each costing $13,000. Squint captured the correct workflow and retrained operators, cutting cycles from five to three per week and saving $26,000 weekly."

“We were spending roughly $5 million per machine on annual OEM overhauls for critical equipment. Instead of accepting that as a fixed cost, we used Squint to capture the OEM’s work once and turn it into a guided, visual procedure. Our in-house technicians now execute those overhauls themselves, reclaiming a critical maintenance capability and materially reducing OEM spend.”

"Operator retraining has historically been manual, instructor-led, and time-consuming. We transformed it with Squint, shifting to interactive digital modules aligned with shop-floor reality. Retraining time dropped from 40 to 16 minutes, scores jumped from 65% to 97%, and reclaimed production time yielded approximately 670 additional tires per cycle."