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Applied Computing wants to give oil and gas operators an AI model for the entireplant
Applied Computing, a London startup, raised $20 million to develop an AI model, 'Orbital', for the oil and gas industry, aimed at optimizing operations by analyzing sensor data. The model helps facilities use under 8% of their data more efficiently, flag anomalies in minutes, and simulate changes' impacts. Key partnerships include KBR and plans for international expansion, including a new office in Houston.
Key points
- Applied Computing, founded in 2023, targets the oil and gas sector.
- Raised $20 million in Series A funding led by KBR, with Databricks Ventures participating.
- The 'Orbital' model integrates time series, physics, and language models.
- Orbital claims to reduce investigation times from days to minutes by processing real-time data.
- Operating decisions traditionally rely on less than 8% of available data, highlighting industry inefficiencies.
- Applied Computing has reported rapid revenue growth and plans for international expansion.
Why it matters
- The integration of AI in industrial settings reflects the ongoing trend towards digital transformation in the energy sector.
- As the 2025 IT trends focus on sustainability and efficiency, solutions like Orbital align with industry needs to reduce energy use and emissions.
- The market for AI-driven tools is intensifying as traditional industrial software faces competition from agile startups.
Applied Computing's innovative AI model addresses significant inefficiencies in oil and gas operations, promoting data-driven decision-making and offering potential for rapid growth in a transforming energy market.