Parasail

AI inference across distributed GPU networks

Parasail runs AI workloads across distributed GPU networks, optimising each deployment for cost, performance and flexibility so developers get a scalable cloud without being locked to one vendor. Every inference request it serves is really a decision about which hardware to use at what price, and making those decisions well across a distributed fleet is a data problem before it is an infrastructure one. That intelligence layer is the company's actual advantage. It runs itself the same way it runs the product: internal analytics are agent-native, so teams ask business questions directly and get real analysis in minutes, on infrastructure where people and agents query the same way.