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# Applied Computing wants to give oil and gas operators an AI model for the entire plant

**[TechCrunch](https://daily.dev/sources/tc)** · 4 min read · 0 upvotes · 0 comments

## Summary

Applied Computing, a London-based startup founded in 2023, has raised a $20M Series A led by KBR with Databricks Ventures participating. The company builds Orbital, a foundation AI model for oil, gas, refining, and petrochemical facilities. Orbital combines a time series model, a physics-based model, and a language model to analyze sensor readings, engineering documentation, and process physics in real time — addressing the problem that facilities currently use less than 8% of available data. The model can flag anomalies, identify root causes, and simulate proposed fixes within minutes, compressing investigations that previously took days or weeks. The startup claims double-digit millions in ARR within 18 months of leaving stealth, with customers including large publicly listed energy companies and partners such as KBR and Wipro. Applied Computing plans to use the funding to expand internationally, hire researchers and engineers, and grow its presence in the U.S. and Middle East.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/07/15/applied-computing-wants-to-give-oil-and-gas-operators-an-ai-model-for-the-entire-plant>

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