Loopr AI

Just like Netflix replaced DVDs, cloud storage took over from data centers, and Google outdid encyclopedias, is AI about to take the place of quality inspectors in manufacturing? But first, let's take a step back to truly understand its impact. The tradition of quality inspection has undergone significant refinement over centuries. Well before the industrial innovations of the 18th and 19th centuries emerged, craftsmen meticulously scrutinized their work for defects. Then, as we ventured into the early 20th century, visionaries like Walter A. Shewhart and W. Edwards Deming introduced statistical methods, revolutionizing the way quality was assessed and managed. In the latter half of the 20th century, the concept of Total Quality Management (TQM) gained prominence, emphasizing the involvement of every employee in the pursuit of quality excellence. Today, in the 21st Century, robotic automation and AI have carved out their niche in the inspection process. However, unlike previous advancements, this shift comes with a looming concern: the potential replacement of quality inspectors who have traditionally performed these tasks. While quality inspection has been a cornerstone in manufacturing for over 250 years, but it's intriguing to consider: are we on the brink of seeing it fully automated in the next 10 years? Additionally, the role of quality inspectors is shifting. Beyond just spotting defects and ensuring compliance, there's a growing focus on predictive analytics and preventing issues before they happen. Manufacturers are leaning towards predictive maintenance and quality forecasting, transforming quality inspectors' jobs into more strategic, forward-looking roles. So, suggesting that their jobs will become extinct might be an overstatement. However, AI is set to enhance their roles in the following ways: 1. Automation and AI will streamline routine inspections, reducing manual intervention on the assembly line. 2. Quality inspectors will shift focus to predictive quality analytics and proactive defect prevention, using data-driven insights. 3. Quality control will merge with disciplines like data analysis and engineering, fostering integrated quality management in manufacturing. So, Will manufacturing quality inspector jobs disappear in the next 5 years? NO. Although their roles may evolve significantly, their core mission to maintain quality standards remains vital. As technology reshapes manufacturing, quality inspectors will need to adapt and learn new skills to stay essential in the production process. #manufacturing #qualityinspection

In today’s manufacturing landscape, there’s growing recognition that a truly modern factory must be both digitally advanced and environmentally responsible. Yet, many AI solutions demand excessive compute power and resources, clashing with sustainability efforts. By leveraging pre-trained, high-efficiency models and existing infrastructure we can deliver the benefits of advanced visual inspections without the typical overheads. Not only does this reduce your carbon footprint, but it also helps you focus on what really matters: smarter operations and minimal waste. Even better, our solution helps catch quality issues and defects early, lowering the chance of rework and material discard. The result? A leaner, greener production line that drives measurable impact for both your bottom line and the planet. Curious about how Loopr can help your factory harness AI while staying on track for sustainability goals? Swipe through our carousel below to see how our architecture helps with efficient and sustainable manufacturing. #SustainableManufacturing #EnergyEfficiency #AIinManufacturing #MachineVisionAI #LooprAI

Unplanned downtime doesn’t just happen when machines break - it also happens when overlooked defects force rework or recalls later on. As someone working in manufacturing, you know how costly it can be to discover a quality issue too late. Stopping a line or backtracking to fix mistakes drains both time and profits. AI-driven visual inspections and assembly verification enable you to catch these issues in real-time, preventing expensive rework down the line. Plus, with automated traceability, you’ll have a clear record of every inspection, making it easier to identify and fix problems before they multiply. Thinking about how to reduce defect escapes? Let’s chat about how we can help! #LooprAI #QualityControl #SmartManufacturing #AIInManufacturing

Quality control in medical manufacturing is critical - there’s no room for error when patient safety and regulatory compliance are on the line. Yet, traditional inspection methods often fall short when it comes to: 1. Detecting micro-defects that compromise product integrity 2. Maintaining precision in high-speed production environments 3. Keeping pace with ever-evolving compliance standards AI-powered visual inspection is changing the game: 1. Identifies defects with unmatched accuracy 2. Reduces human error and accelerates inspections 3. Ensures compliance with rigorous medical regulations Want to explore how AI is reshaping quality control in medical manufacturing? Read more here: https://lnkd.in/dgYCBWUG How are you addressing quality challenges in your production process? #MedicalManufacturing #QualityControl #AI #MachineVision #Pharmaceuticals #HealthcareInnovation #LooprAI

Traceability in Quality Control: A Data-Driven Approach In manufacturing, quality control isn’t just about catching defects - it’s about understanding patterns, optimizing processes, and ensuring traceability across the production line. But here’s the challenge: How do you track and leverage inspection data effectively? Our Knowledge Store aggregates, structures, and unlocks critical inspection data to provide deeper insights into quality control. What do we track? 1. Operator identity – Who inspected the part? 2. Inspection time – When was it checked? 3. Inspected part – What was analyzed? 4. Re-inspection data – How often was it re-checked? 5. QA lifecycle – The full journey from defect detection to rework and final approval. 6. Time spent per part – Efficiency metrics that reveal process bottlenecks. Turning Data into Intelligence By leveraging this structured, historical data, manufacturers can build custom LLMs (Large Language Models) to: 1. Query inspection histories – “How many parts required rework last month?” 2. Identify process inefficiencies – “Which defects are most common per shift?” 3. Predict quality trends – “What failure patterns should we proactively address?” Traceability is no longer a challenge - it’s an opportunity. Manufacturers can move from reactive quality control to proactive decision-making, reducing waste, rework and production costs. #AIinManufacturing #QualityControl #Traceability #LooprAI #MachineVision #ManufacturingInnovation

Quality control is a tough job. Every day, inspectors examine thousands of parts, scanning for tiny defects that could impact performance. But as hours pass, fatigue sets in. Even the best professionals can’t catch everything - not because of lack of skill, but because we’re human. Then there’s the subjectivity challenge—what one inspector flags as a defect, another might approve. The result? Inconsistencies that impact quality and efficiency. What if AI could assist you? 1. Catching the defects the human eye might miss 2. Eliminating inconsistencies 3. Ensuring faster, more reliable quality control At Loopr AI, we’re empowering manufacturers them with AI-powered visual inspection. Ready to rethink quality control? Let’s talk. #Manufacturing #QualityControl #AI #Automation #LooprAI

🚀 The Future of Work is Not AI vs. Humans It’s AI + Humans! 🤝 The manufacturing workforce is evolving, and AI is no longer just about automation - it’s about collaboration. AI is here to augment their abilities, making processes smarter, decisions sharper, and productivity higher. 🔍 Take quality control as an example: With AI-powered tools like LooprIQ Inspect and LooprIQ Verify, manufacturers can reduce defects, improve accuracy, and empower workers to focus on strategic, high-value tasks. This is the power of Collaborative Intelligence—where AI enhances human strengths rather than replacing them. ✅ AI speeds up data analysis. ✅ Humans bring creativity and critical thinking. ✅ Together, they drive efficiency and innovation. Our latest blog explores how AI-human collaboration is reshaping industries—from manufacturing to healthcare to marketing—and how companies can embrace this shift to stay ahead. 📖 Read the full blog here: https://lnkd.in/d7v7ZxvX How is AI transforming your workforce? Let’s discuss in the comments! ⬇️ #AI #CollaborativeIntelligence #Industry40 #ManufacturingInnovation #LooprAI #FutureOfWork

Exciting news! We’re gearing up to attend EXPO MANUFACTURA® 2025 in Monterrey, Mexico! 🇲🇽 📅 When? February 11th to 13th, 2025 📍 Where? Cintermex, Monterrey, Mexico Join us to explore how we're transforming quality control, defect detection and assembly verification in the manufacturing sector. Visit our booth to experience live demos and connect with our team of experts. Let's discuss how we can transform your manufacturing processes together! Are you attending? Drop a comment below, and let's schedule a meeting at the expo! 👇 #ExpoManufactura2025 #LooproAI #AIinManufacturing #IndustryInnovation

We are thrilled to announce that Ashish Soni has joined Loopr AI as a Senior Software Engineer! 🚀 Ashish is an alumnus of IIT Bombay and brings a wealth of experience in backend engineering from his time at GEVME and HDFC Life. With his passion for exploring innovative ideas and building impactful products, we’re confident he will play a key role in shaping the future of our technology. Outside of work, Ashish is a true all-rounder! Whether it’s enjoying a competitive gaming session, embarking on adventurous road trips, or cheering for his favorite cricket team, he knows how to balance work and play. And if you’re a foodie, you’ll find a kindred spirit in Ashish, who loves Korean, Indian, and Chinese cuisine. 🍜🏏🎮 Join us in giving Ashish a warm welcome to the Loopr AI family! We’re excited to see the amazing contributions he’ll make as we continue to innovate and grow. #LooprAI #Innovation #WelcomeToTheTeam #MeetOurTeam

Exciting News at Loopr AI! 🎉   We are thrilled to welcome Eric Summa to the Loopr AI team! Eric brings an incredible 19 years of experience from his tenure at 3M, where he excelled in various sales roles within the Industrial sector. Most recently, he contributed to scaling Account Executive and SDR teams at GrayMatter Robotics, an AI Robotics startup.   Eric’s passion for AI innovation and its transformative potential in manufacturing is truly inspiring. Outside of work, you’ll find Eric perfecting his golf swing, experimenting in the kitchen, or spending time with his family.   With Eric on board, we’re confident in elevating Loopr AI’s impact on the manufacturing industry with cutting-edge AI solutions.   Join us in giving Eric a warm welcome! 🙌   #LooprAI #WelcomeToTheTeam #AIinManufacturing #MeetOurTeam