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$27M raised: Maneva has closed $27 million in Series A funding led by US Venture Partners, with returning investors Bling Capital and Freestyle Capital and angels participating. Total funding now sits at $38.4 million. The Palo Alto company is registered in Toronto with engineering across Toronto, Montreal, and the San Francisco Bay Area. Maneva is video-to-action AI for manufacturing. The platform pulls live feeds from factory cameras and sensors and deploys AI agents that detect missing labels and product defects, monitor worker safety compliance, predict machine failures, and autonomously accept or reject units on the production line. The architecture is not a generic computer vision tool. It is a perception-to-decision stack built for the throughput and latency a real factory needs. The competitive set is sharp. Landing AI, Instrumental, and Covariant all sit in adjacent industrial vision territory. Maneva's wedge is the action layer. Agents act on the line in real time, instead of dashboards that wait for a human to react. The pitch is that a factory floor benefits 10x more from autonomous decisions on bad units than from yet another anomaly notification. CEO Rae Jeong is a former Google DeepMind research engineer who worked on robotics and lifelong reinforcement learning. CTO Kelvin Chan came out of Magna International's R&D group, building computer vision, RF, and deep learning for automotive and manufacturing. The new capital funds further AI development, new product launches, and global expansion as Maneva scales beyond its North American base. #fundraising #ai #manufacturing #aiagents

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