Loopr AI

Before automating a visual inspection, can your team clearly define what a failed inspection looks like?   Consider a wire harness used in data center power equipment.   An inspector may need to check for missing connectors, incorrect wire routing, or improperly secured components.   These checks might be obvious to an experienced operator. But turning them into a repeatable digital inspection process requires more than capturing an image.   A few questions need clear answers:   1. What exactly is being inspected, and which defects matter?   2. What are the pass/fail criteria? Are there acceptable variations?   3. At which stage of production should the inspection happen?   4. What information needs to be recorded for traceability?   5. Where should the inspection result go, and who needs to act on it?   The answers determine how an inspection should be designed, whether it is performed manually or supported by Vision AI.   At Loopr AI, we work on digitizing visual quality inspections and making inspection data useful beyond the individual check.   For manufacturers building new battery and power equipment production lines, defining these inspection requirements early can make the transition to digital quality workflows much more straightforward.   How does your team define inspection criteria before introducing automation?   #Manufacturing #QualityControl #VisualInspection #VisionAI

AI data-center growth is already showing up on factory floors. The U.S. EIA expects record electricity generation in 2026 and 2027, with data-center development and manufacturing among the demand drivers. Generac Industrial Energy says initial backup-generator deliveries for Amazon data centers are expected to total $2.4 billion in 2027 and 2028. Eaton is opening a 370,000-square-foot Nebraska switchgear facility, with production expected in the first half of 2027. It is also investing more than $242 million in Arkansas to double U.S. capacity for electrical enclosures. Vertiv says its Ohio expansion will increase liquid-cooling and chilled-water capacity by about 45%, with the expanded facility expected online in Q2 2027. Across generators, switchgear, enclosures and cooling systems, data-center demand is translating into real manufacturing capacity. For manufacturers adding that capacity, we think quality and inspection should be part of line design early. NIST's digital-thread work supports connecting design, manufacturing, quality and inspection information. At Loopr, we focus on visual inspection: digitizing and automating checks at incoming, inline and final inspection points, with traceability and manufacturing-system integrations. #Manufacturing #DataCenters #QualityInspection #AI

When setting up a new manufacturing plant for batteries, power systems, or data center equipment, three software systems usually play very different roles. Product Lifecycle Management (PLM) defines what you are building. Manufacturing Execution System (MES) manages how it is being built. Quality Management System (QMS) manages whether it meets the required quality standards. For operations and inspection teams, the next question is where the inspection result goes. A missing component, incorrect wire routing, or visible defect should connect to the right manufacturing, quality, and traceability workflow. This is where AI-powered digital visual inspection fits into the stack. Loopr captures inspection results at the point of quality and connects them with the systems around the production process. #Manufacturing #Quality #VisualInspection #IndustrialAI

Safran expands AI inspection tools to US facilities after pilot success Read the verified report: https://lnkd.in/evj8WjwK Safran is deploying synthetic-data-driven AI inspection software from Loopr AI to its Marysville, Washington, and Santa Maria, California facilities, following pilot projects that reduced inspection time and increased throughput. #AI #MachineLearning #Enterprise

A recent article highlights how Safran is leveraging Loopr AI to enhance defect inspections through synthetic data. I found it interesting that the effectiveness of AI in aviation hinges not just on the technology itself, but also on the quality of the data it learns from. What do you think are the challenges companies face in ensuring data integrity for AI applications?

Most of our posts are about the problems we're solving. This one is about the team solving them. A recent photo of our Pune team. A lot of the work happens behind the scenes. So every once in a while, it is nice to put the people behind it in front of the camera. Then back to building. #TeamLoopr #LifeAtLoopr #Pune

Looking forward to being back with the Women in Manufacturing community in Las Vegas. WIM SUMMIT runs October 7-9, bringing together manufacturing professionals from across the industry. On October 8 from 2:00-3:00 p.m., I'll be joining Allison Roberts Grealis and Joanna C. Cooper for an invite-only executive roundtable: "Momentum: How Leaders Remove the Barriers Between AI Ambition and Operational Reality" We'll be discussing a question I hear often from manufacturing leaders: How do you move from AI ambition to operational reality? AI pilots are one thing. Making AI work within real processes, systems, teams and day-to-day operations is where the harder work begins. If you're working through this challenge and would like to join the roundtable, reach out to me for an invitation. Loopr AI will also be exhibiting at the WIM EXPO during Women in Manufacturing Summit. If you're planning to attend WIM SUMMIT, you can register here: https://lnkd.in/deukWdzV And if you're already attending, Me and Monica Lazo would love to connect. #WomenInManufacturing #Manufacturing #IndustrialAI

The best place to catch a wiring issue is before the assembly reaches the next operation. Take a terminal wiring assembly.   The inspection may need to confirm: • The correct wire is connected to the correct terminal. • The wire is positioned correctly. • The required fastener is present.   Once those checks are defined, visual inspection can become part of the normal production flow:   Assemble. Inspect. Pass or flag for review. Move to the next operation.   For manufacturers building new power equipment, battery systems, and data center infrastructure, this is the kind of inspection decision that should happen during process design, not after quality issues start appearing downstream.   #Manufacturing #VisualInspection #QualityInspection #ComputerVision

We’re looking for a senior leader to own some of our most strategic customer engagements at Loopr AI. We’re hiring a Principal Project Manager – Customer Success & Growth to lead customers from implementation through adoption, value realization, renewals, and expansion. This is a senior, cross-functional role where you’ll work closely with customer executives, technical teams, and internal stakeholders to lead complex technology and digital transformation programs. You’ll own delivery, manage risks and commercial commitments, build strong executive relationships, and help successful engagements expand across use cases, facilities, and business units. We’re looking for someone with 15–20 years of experience across enterprise project or program management, customer success, consulting, professional services, or account delivery. Experience with manufacturing, automotive, aerospace, or industrial organizations is highly relevant. The role is full-time in Pune, with limited overlap with US working hours and customer travel as required. If you’ve built a career around making complex enterprise engagements successful and turning that success into long-term customer relationships, we’d love to hear from you. Apply here: https://lnkd.in/dvkdK-hZ #Hiring #ProjectManagement #CustomerSuccess #Manufacturing #EnterpriseAI