Table of Content Subscribe To Updates Get insightful content delivered right to your inbox! Subscribe To Updates How Automated Time and Motion Studies Improve Manufacturing Process Efficiency Posted by Saif Khan Most operations leaders have experienced a familiar problem on the production floor. A workstation appears efficient according to planning models, cycle time standards, and … Read more
How AI-Powered Time Studies Improve Workstation Optimization Every factory leader has experienced the same situation. Productivity metrics suggest the line should be performing better, yet small delays continue to appear throughout the shift. Operators are working consistently, but rework increases and scrap slowly accumulates. These inefficiencies rarely appear dramatic in isolation. Instead, they build gradually … Read more
Table of Content Subscribe To Updates Get insightful content delivered right to your inbox! Subscribe To Updates Lean Manufacturing Techniques for Increased Productivity and Efficiency Posted by Sadia Waseem Do you know that implementing lean manufacturing techniques can reduce your overall cycle time by 50%, with a 25% increase in customer order accuracy and a … Read more
Table of Content Subscribe To Updates Get insightful content delivered right to your inbox! Subscribe To Updates How Vision-Based AI Enables Workstation Efficiency Analysis Posted by Saif Khan Every operations leader has encountered the same situation: the numbers look correct on paper, cycle time expectations are approved, and staffing levels appear balanced. Yet the workstation … Read more
Table of Content Subscribe To Updates Get insightful content delivered right to your inbox! Subscribe To Updates Lean Manufacturing in the Age of AI Posted by Saif Khan Lean Manufacturing 4.0: How AI Enhances Lean StrategiesFor years, manufacturers have tried to do more with less. Every wasted second and product defect seems like a missed … Read more
In the first episode of Factory Forward, Dr. Zeeshan Zia is renowned lean management expert Dr. Bob Emiliani sheds light on critical misconceptions surrounding lean in manufacturing
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.
Â
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.
Â
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.
