MarshallAI is joining Bittium at Eurosatory 2026, June 15–19, Hall 6, Stand G146 (Finnish Defence & Aerospace Industries pavilion). On display: Bittium’s Tough SDR radios paired with AI-powered spectrum surveillance — handheld detection, monitoring, and analysis of unknown emissions in the field. “Bittium has been leveraging AI in tactical defence communications for years. Their strategic … Read more
PRESS RELEASE The pilot tests new technology to automate freight traffic at border crossings. It takes place on the Finnish-Norwegian border in Kivilompolo and continues throughout the year. Smart technologies are used to digitalize the flow of information, identify transport data and speed up border crossing procedures. Cargo can be monitored in real time and … Read more
Bittium invests in Finnish artificial intelligence pioneer MarshallAI. This investment supports Bittium’s capabilities in AI-solutions across all business areas.
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.
A global beverage manufacturer spent 15 years trying to reliably intercept “rogue cans” on their high-speed filling lines. Discover how MarshallAI deployed a zero-latency edge vision system to inspect 2,500 cans per minute, preventing mismatched products and costly mechanical jams with near-perfect precision.
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.
Discover 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.
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%.
Learn 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.
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.
Real-time AI vision and intelligence for industrial environments, public sector, defence & law enforcement.
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