A leading manufacturer of mission-critical medical devices was grappling with a substantial scrap rate that directly impacted its production costs. It was a critical concern as these devices were essential for patient care and could not fail at any cost. The manufacturer recognized the urgent need to optimize its production processes so it could reduce waste, enhance overall efficiency, and ensure the highest possible product quality.
The medical device manufacturer had to go to great lengths to ensure the quality of its products, which led to several challenges. The scrap rate shot up to 30%, which meant a loss of $1500 on each scrapped unit, along with additional maintenance, support, and repair costs. They needed a solution to provide real-time insights and process optimization without disrupting its existing workflow.
The manufacturer deployed Assembly Copilot across four workstations. The implementation of Assembly Copilot was efficient and user-friendly, minimizing disruptions to regular operations. The process involved several steps, including:
The entire process took approximately two days. It required minimal effort from the manufacturer’s team. This ensured the system was accurately calibrated to their specific assembly process. With Assembly Copilot successfully implemented, the manufacturer was ready to observe significant improvements in their production process and quality.
The deployment of Assembly Copilot resulted in a significant reduction in the scrap rate, dropping from 30% to 12%. Moreover, the software demonstrated high accuracy in detecting mistakes or errors, with an 82.4% success rate, and only generated two false positives per 100 cycles. This improvement translated into several million dollars in annual savings for the manufacturer, proving the effectiveness of the solution in enhancing both quality and productivity.
A leading manufacturer of mission-critical medical devices that prioritizes product quality and operational efficiency, ensuring the production of reliable devices essential for patient care.
Health Care Manufacturing
Reduce waste and scrap cost; ensure high quality and efficiency.
Brandin and his team help our customers with setting up the Pathfinder platform and getting up-to-speed on all the features and functionalities, in addition to assisting them with standardizing their processes where needed.
Brandin is a seasoned manufacturing leader, who has spent more than a decade designing and setting up assembly lines in both the US and China, optimizing them, and working with human operators to maximize productivity and quality.
Jesse works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Jesse has two decades of enterprise sales experience. He has held sales leadership roles at pioneering technology startups.
Andrey takes inventions and converts them into innovations. He leads our product engineering team to turn our scientific prototypes into robust customer-facing products.
Andrey co-founded and successfully exited a startup to immigrate to the US. He spent his next eight years building the core data science infrastructure for Amazon’s supply chain planning team, and the CV/ML infrastructure for Microsoft’s HoloLens organization.
Zeeshan focuses on delighting our customers by understanding their needs and defining product and strategy to meet and exceed these needs. He works closely with our sales leadership to grow our customer base.
Zeeshan was a scientific leader at Microsoft’s HoloLens division, where he invented AI technologies to assist frontline workers across industries. Earlier, he shipped IoT platforms and visual defect detection software for manufacturers at Siemens and MVTec GmbH.
Huy takes our product roadmap and figures out what’s achievable with today’s AI advances, and what we need to invent to solve our customers’ pain points.
Huy led teams of scientists and engineers at NEC and invented technologies for driver assistance systems that are part of 500,000+ Honda cars. He is an inventor on more than 20 US patents, and his research papers are cited by every lab from MIT, Stanford, and CMU to Apple, Google, and Baidu.
