{"id":849,"date":"2026-03-05T08:58:22","date_gmt":"2026-03-05T08:58:22","guid":{"rendered":"https:\/\/digiom.fi\/kradi\/?page_id=849"},"modified":"2026-08-24T15:05:36","modified_gmt":"2026-08-24T12:05:36","slug":"case-studies","status":"publish","type":"page","link":"https:\/\/marshallai.com\/fi\/case-studies\/","title":{"rendered":"Case studies"},"content":{"rendered":"<div class=\"mai-section gb-element-62641e3d\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-62143277\">\n<h1 class=\"gb-text mai-headline mai-reveal\">Proven at the <em>Edge<\/em><\/h1>\n\n\n\n<p class=\"gb-text gbp-section__text mai-reveal\">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.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div><ul class=\"gbp-list--unstyled gb-looper-5cf487fa\">\n<li class=\"gb-loop-item post-853 case-study type-case-study status-publish has-post-thumbnail hentry category-cosmetic-manufacturing category-quality-assurance tag-aerosol-manufacturing tag-case-study tag-computer-vision tag-cosmetic-manufacturing tag-defect-detection tag-edge-computing tag-machine-vision tag-quality-assurance\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/taerosol-automated-qa-in-high-mix-manufacturing\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"419\" alt=\"\" data-media-id=\"1462\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-768x419.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-768x419.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-300x164.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1024x558.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1536x838.webp 1536w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg.webp 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/taerosol-automated-qa-in-high-mix-manufacturing\/\">Mastering QA in High-Mix Manufacturing: Rapid Changeovers and >99% Accuracy at Taerosol<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">Contract 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.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/taerosol-automated-qa-in-high-mix-manufacturing\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Cosmetic manufacturing<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2282 case-study type-case-study status-publish has-post-thumbnail hentry category-beverage-industry category-quality-assurance tag-beverage-industry tag-case-study tag-defect-detection tag-drinks-industry tag-edge-computing tag-label-verification tag-quality-assurance tag-rogue-can\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/eliminating-rogue-cans-high-speed-edge-ai-qa-in-beverage-manufacturing\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"573\" alt=\"\" data-media-id=\"68\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-768x573.jpg\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-768x573.jpg 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-300x224.jpg 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-1024x765.jpg 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans.jpg 1200w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/eliminating-rogue-cans-high-speed-edge-ai-qa-in-beverage-manufacturing\/\">Eliminating Rogue Cans: High-Speed QA in Beverage Manufacturing<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">A global beverage manufacturer spent 15 years trying to reliably intercept &#8220;rogue cans&#8221; on their high-speed filling lines. Discover how MarshallAI deployed a minimal latency edge vision system to inspect 2,500 cans per minute, preventing mismatched products and costly mechanical jams with near-perfect precision.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/eliminating-rogue-cans-high-speed-edge-ai-qa-in-beverage-manufacturing\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Beverage industry<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2213 case-study type-case-study status-publish has-post-thumbnail hentry category-manufacturing category-quality-assurance tag-case-study tag-computer-vision tag-defect-detection tag-edge-computing tag-false-reject-reduction tag-high-speed-inspection tag-machine-vision tag-manufacturing tag-metal-manufacturing tag-quality-assurance tag-sub-millimeter-precision\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/turvanasta-sub-millimeter-defect-detection\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"455\" alt=\"\" data-media-id=\"2172\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-768x455.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-768x455.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-300x178.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-1024x607.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2.webp 1046w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/turvanasta-sub-millimeter-defect-detection\/\">Sub-Millimeter Quality Control at Scale: Securing Yield for Turvanasta<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">Legacy 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.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/turvanasta-sub-millimeter-defect-detection\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Manufacturing<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2174 case-study type-case-study status-publish has-post-thumbnail hentry category-smart-cities category-traffic-management tag-case-study tag-computer-vision tag-edge-computing tag-smart-cities tag-traffic-control tag-traffic-counting tag-traffic-management tag-traffic-statistics\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/vantaa-traffic-infrastructure-actuation\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" alt=\"\" data-media-id=\"2135\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-768x432.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-1024x575.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/vantaa-traffic-infrastructure-actuation\/\">Actuating Physical Infrastructure: How MarshallAI Achieved 99.8% Reliability in Harsh Conditions<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">Discover how MarshallAI&#8217;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.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/vantaa-traffic-infrastructure-actuation\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Smart cities<\/span> <span>Traffic management<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2123 case-study type-case-study status-publish has-post-thumbnail hentry category-smart-cities category-traffic-management tag-ai-vision tag-case-study tag-computer-vision tag-emission-reduction tag-machine-vision tag-traffic-control tag-traffic-counting tag-traffic-management\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/ai4cities-intelligent-traffic-intersection-management\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" alt=\"\" data-media-id=\"2133\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-768x432.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-1024x576.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/ai4cities-intelligent-traffic-intersection-management\/\">Smarter intersections, fewer emissions: MarshallAI and AI4Cities<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">MarshallAI 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%. <\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/ai4cities-intelligent-traffic-intersection-management\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Smart cities<\/span> <span>Traffic management<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2091 case-study type-case-study status-publish has-post-thumbnail hentry category-security category-smart-cities tag-ai-security-monitoring tag-case-study tag-crowd-analytics tag-crowd-counting tag-intrusion-detection tag-ip-camera-security tag-legacy-camera-integration tag-local-network tag-privacy-first-ai tag-security tag-security-monitoring tag-theme-park tag-video-management-system tag-visitor-flow tag-vms\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/sarkanniemi-crowd-analytics-and-security-using-edgeai\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"512\" alt=\"\" data-media-id=\"2092\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-768x512.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-768x512.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-300x200.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-1024x683.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/sarkanniemi-crowd-analytics-and-security-using-edgeai\/\">Upgrading Legacy Infrastructure: Crowd Analytics &amp; Security Without Cloud Dependency<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">Learn how we utilized S\u00e4rk\u00e4nniemi theme park&#8217;s existing camera infrastructure to process live video on a closed-loop local area network \u2013 enabling security and crowd flow analytics while maintaining privacy.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/sarkanniemi-crowd-analytics-and-security-using-edgeai\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Security<\/span> <span>Smart cities<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2124 case-study type-case-study status-publish has-post-thumbnail hentry category-defence category-edge-ai tag-case-study tag-computer-vision tag-edge-computing tag-edge-device tag-edge-processing tag-machine-vision tag-no-code-training tag-object-detection tag-offline-ai tag-rapid-deployment tag-xtech\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/xtech-challenge-win-rapid-ai-deployment\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"403\" alt=\"\" data-media-id=\"2145\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/xTech_MarshallAI_hero-768x403.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/xTech_MarshallAI_hero-768x403.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/xTech_MarshallAI_hero-300x158.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/xTech_MarshallAI_hero-1024x538.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/xTech_MarshallAI_hero.webp 1200w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/xtech-challenge-win-rapid-ai-deployment\/\">From Scratch to Deployment in 1 Hour and 40 Minutes: Winning the xTech Global AI Challenge<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">See 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.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/xtech-challenge-win-rapid-ai-deployment\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Defence<\/span> <span>Edge AI<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2309 case-study type-case-study status-publish has-post-thumbnail hentry category-logistics-supply-chain category-security tag-access-control tag-alpr-automatic-license-plate-recognition tag-border-security tag-case-study tag-edge-ai tag-freight-automation\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/zero-friction-borders-automating-freight-traffic-with-finnish-customs\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"419\" alt=\"\" data-media-id=\"2312\" class=\"gb-media-264cf724 mai-card-article-image\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-768x419.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-768x419.png 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-500x273.png 500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-1500x818.png 1500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-1536x838.png 1536w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Study_Tulli_Truck-2048x1117.png 2048w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/zero-friction-borders-automating-freight-traffic-with-finnish-customs\/\">Zero-Friction Borders: Automating Freight Traffic with Finnish Customs<\/a><\/span>\n\n\n\n<div class=\"gb-element-462c7cbe\">\n<p class=\"gb-text mai-card-article-text\">MarshallAI partnered with Finnish Customs to pioneer the future of automated border control. Learn how our edge vision technology instantly clears heavy freight traffic for transit, creating a zero-friction border experience.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<a class=\"gb-text mai-button-secondary-block\" href=\"https:\/\/marshallai.com\/fi\/case-study\/zero-friction-borders-automating-freight-traffic-with-finnish-customs\/\">Read case<\/a>\n\n\n\n<span class=\"gb-shape gb-shape-8d885a20\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1200 40\" preserveaspectratio=\"none\" width=\"100%\" height=\"100%\">\n  <path d=\"M0,20 L1200,20\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><\/path>\n<\/svg><\/span>\n\n\n\n<p class=\"gb-text mai-article-card-tag\"><span>Logistics &amp; Supply Chain<\/span> <span>Security<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n<\/ul><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-f19c7875\">\n<h2 class=\"wp-block-heading has-text-align-center mai-heading mai-reveal\">Trusted by<\/h2>\n<\/div>\n\n\n\n<div>\n<div class=\"gb-element-d6326e42\">\n<div class=\"mai-container-logo\">\n<img loading=\"lazy\" decoding=\"async\" width=\"695\" height=\"80\" class=\"mai-image-logo gb-media-e8244ef0\" alt=\"\" title=\"Turvanasta logo\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo.png 695w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo-300x35.png 300w\" sizes=\"auto, (max-width: 695px) 100vw, 695px\" \/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"mai-image-logo\" alt=\"\" title=\"Taerosol logo\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo.png 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo-300x60.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"mai-image-logo\" alt=\"\" title=\"Stockholms stad logo\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Stockholms-stad-logo.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Stockholms-stad-logo.png 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Stockholms-stad-logo-300x60.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"mai-image-logo\" alt=\"\" title=\"Rani logo\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Rani-logo.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Rani-logo.webp 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Rani-logo-300x60.webp 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"mai-image-logo\" alt=\"\" title=\"Lappeenranta kaupunki logo\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo.png 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo-300x60.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Department of war logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Department-of-war-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Hartwall logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Hartwall-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Savox logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Savox-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Securitas Technology logo svg white\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/Securitas-Technology-logo-svg-white.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"US Army logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/US-Army-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Telia logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Telia-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Finnish_customs_Tulli_logo_svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Finnish_customs_Tulli_logo_svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Helsingin kaupunki logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Helsingin-kaupunki-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Puolustusvoimat logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Puolustusvoimat-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Cinia logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Cinia-logo-svg.svg\"\/>\n<\/div>\n\n\n\n<div class=\"mai-container-logo\">\n<img decoding=\"async\" class=\"mai-image-logo\" alt=\"\" title=\"Port of turku logo svg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Port-of-turku-logo-svg.svg\"\/>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>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. Trusted by<\/p>","protected":false},"author":1,"featured_media":2272,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","page_theme":"","footnotes":""},"class_list":["post-849","page","type-page","status-publish","has-post-thumbnail"],"_links":{"self":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/849","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/comments?post=849"}],"version-history":[{"count":14,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/849\/revisions"}],"predecessor-version":[{"id":3581,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/849\/revisions\/3581"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media\/2272"}],"wp:attachment":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media?parent=849"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}