Prax

Prax builds AI systems for heavy industry, specialising in domains with heterogeneous input feeds where material flow is difficult to measure. This includes secondary metal making, mineral processing, and battery recycling, where different grades of input feed, such as scrap or mineral ore, are moved via cranes and mobile loaders and blended before processing. Because material inputs significantly affect downstream processes, the combination of uncertain quality and manual handling creates a fundamental visibility gap, forcing operators to rely on coarse estimations and suboptimal rules of thumb when making process decisions.

Prax have developed a suite of products that work together to address these challenges. Their AI vision models and camera hardware measure process conditions, track precise material handling events, and recognise commodities and their quality. Their AI models use these datastreams to optimise material mix decisions and other downstream process decisions, resulting in an integrated system that optimises end-to-end, reduces costs, and improves throughput and yield. The intelligence they provide flows across the entire business, and they deploy their AI systems beyond industrial processes to help customers tackle bottlenecks anywhere in their operations, upstream or downstream.

Their team includes elite physicists, engineers, and software developers, and they deploy them on-site with clients for the majority of their time, delivering real solutions that generate lasting value. 

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