Applied Computing raises $20m to build a foundation model for the refinery

A single refinery can carry thousands of sensors measuring temperature, pressure, velocity, and viscosity. According to Applied Computing, operators make decisions using less than 8% of what those sensors tell them. The London startup has raised a $20m Series A to close that gap, led by engineering giant KBR with Databricks Ventures participating.