AI Model for Heavy Industry
Industrial energy plants only use 8% of their data. This new AI model wants to change that forever. 🏭
What the video says
Industrial energy plants are flying blind. They run on massive data streams but make crucial operating decisions using less than 8% of their available information.
Now, London startup Applied Computing has raised a $20 million Series A. This is a high-conviction bet on their flagship release, Orbital.
The round was led by engineering giant KBR, with Databricks Ventures participating. It marks a major turning point for heavy industry.
Orbital is a multimodal AI model. It combines time series, physics, and language models to predict plant states in real time.
CEO Callum Adamson says the real key is getting those three data sources to talk to each other. This compresses investigations from days to seconds.
The startup is already expanding. They just opened a new office in Houston to support their North American clients.
With this fresh funding, they plan to expand internationally and hire more research and engineering roles. The race to automate heavy industry is officially on.
