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Applied Computing raised a $20 million Series A led by KBR with Databricks Ventures participating. The London-based startup's foundation model, Orbital, combines time series, physics, and language models to predict facility states. Orbital can flag anomalies and model fixes in minutes, compressing investigations from days into seconds.
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