Proven at the Edge
From eliminating false rejects on the factory floor to actuating city infrastructure, see how our deep learning platform solves the hardest visual challenges and delivers immediate ROI.
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Sub-Millimeter Precision at Scale: Securing Yield for TurvanastaLegacy vision systems were throwing away perfectly good material. Discover how MarshallAI deployed an edge computing solution to eliminate false rejects and inspect hundreds of millions of sub-millimeter metal parts with absolute precision.
Manufacturing Quality assurance
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Actuating Physical Infrastructure: How MarshallAI Achieved 99.8% Reliability in Harsh ConditionsDiscover how MarshallAI’s edge vision flawlessly tracks complex objects in extreme conditions, achieving a 99.8% pedestrian detection reliability rate while safely triggering physical infrastructure controllers in real-time.
Smart cities Traffic management
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From Scratch to Deployment in 1 Hour and 40 Minutes: Winning the xTech Global AI ChallengeSee how our platform won the U.S. Department of Defense sponsored xTech Challenge by building a custom, fully offline object-detection model in just 1 hour and 40 minutes using only 77 reference images.
Defence Edge AI
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Smarter intersections, fewer emissions: MarshallAI and AI4CitiesMarshallAI is proven in critical systems and continuous operation. Deployed in Helsinki and Paris, our deep learning platform autonomously controlled live infrastructure to reduce emissions by up to 8%.
Smart cities Traffic management
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Upgrading Legacy Infrastructure: Crowd Analytics & Security Without Cloud DependencyLearn how we utilized Särkänniemi theme park’s existing camera infrastructure to process live video on a closed-loop local area network – enabling security and crowd flow analytics while maintaining privacy.
Security Smart cities
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Mastering QA in High-Mix Manufacturing: Rapid Changeovers and >99% Accuracy at TaerosolContract manufacturing and frequent product changeovers used to mean a constant struggle with QA bottlenecks. Discover how Taerosol future-proofed their cosmetics line with a rapidly adaptable AI system that catches over 99% of complex label and packaging defects.
Manufacturing Quality assurance
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