Maneva builds a video-to-action AI platform that integrates with existing factory vision systems to perform real-time analysis on production floors. The system detects defects, predicts equipment failures before they cause downtime, and monitors worker safety - all running on off-the-shelf hardware without requiring wholesale infrastructure replacement.
The platform learns customer-specific processes over time, adapting to the actual conditions of each deployment: variable lighting, network interruptions, and the relentless pace of production lines. Maneva has demonstrated measurable return on investment within weeks in glass manufacturing and meat processing environments, where the cost of undetected defects or unexpected equipment failures directly impacts throughput and safety.
The team combines AI expertise - founded by a former Google DeepMind researcher - with hands-on experience deploying vision systems in industrial settings. The company operates small by design, prioritizing direct engagement with customer operations and the ability to move quickly on real-world problems. Engineering work centers on the hard constraints of factory deployments: integrating with legacy systems, managing edge processing, and ensuring reliability in environments where downtime is measured in lost production capacity.