Applied Computing wants to give oil and gas operators an AI model for the entire plant
Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas and petrochemical industry, has raised a $20 million...
Key points
- Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating.
- Adamson said the startup is also working with a “major U.S.
- Adamson argues that the company’s moat is not access to industrial data or process knowledge, but assembling AI researchers to build a model that can compete with Orbital.
- It’s not a data problem, and it’s not an energy problem,” he said.
What happened
Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating. Adamson said the startup is also working with a “major U.S. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but assembling AI researchers to build a model that can compete with Orbital. It’s not a data problem, and it’s not an energy problem,” he said. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. Adamson said the partnership gives Applied Computing access to operational data, industry expertise, and also introductions to more potential customers.