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Physical AI for Oil & Gas

Intelligence that scales from rig to refinery

The conditions that matter most in oil and gas operations are often hidden across thousands of physical signals. Newton uncovers these patterns across wells, pipelines, and facilities—helping teams catch emerging issues and keep production running, without building custom models for every asset.

Oil refinery with storage tanks and towers

USE CASES

Put Physical AI to work across your operations

Newton Agents adapt across different equipment, processes, and operating conditions, bringing together physical signals—from pressure and flow to vibration, electrical signatures, and video—to understand, optimize, and automate operations.

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Keep critical assets running

Monitor pumps, compressors, pipelines, and other critical equipment. Detect anomalies and degradation early, identify root causes, and prevent unplanned downtime.

  • ESP condition monitoring
  • Compressor anomaly detection
  • Drilling equipment failure detection

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Optimize production as conditions change

Monitor drilling activity, well performance, flow conditions, and production processes in real time. Identify changing conditions and inefficiencies, optimize operations, and maximize production.

  • Drilling state detection
  • Artificial lift optimization
  • Production process optimization

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Improve field execution

Verify inspections, maintenance, and critical field procedures as work happens. Identify missed steps, capture expert workflows, and improve consistency across sites.

  • Inspection verification
  • Maintenance verification
  • Expert knowledge capture

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Reduced oil rig downtime

Cross-modal reasoning inferred complex drill states no single sensor can capture — deployed remotely across diverse wells with no site-specific models.

DRILL STATE DETECTION
FAILURE PREDICTION

_ on-demand webinar

See how one foundation model scales across wells with no per-asset training. A live rig-state demo shows zero-shot, few-shot, and edge deployment in action.

watch the webinar

newton agents

AI agents built for physical operations

Newton Agents continuously interpret physical data to understand machine behaviors, detect emerging issues, and verify critical activity across your operations. Start with prebuilt agents and adapt them to your equipment, processes, and operating environment.

Explore Newton Agents

A physical world model

Built for the complexity and scale of oil and gas

Newton, Archetype’s physical world model, learns patterns of physical behavior across diverse sensor data, providing a common foundation for understanding equipment and processes across oil & gas operations.

explore newton

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Understand complex physical systems

Connect multimodal sensor streams to reveal hidden states, anomalies, and patterns.

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Scale across assets and operations

One model generalizes across equipment, processes, and environments — no custom model per asset.

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Built for remote, distributed operations

Runs from cloud to edge across wells, pipelines, and facilities. Your data stays under your control.

blog

The Archetype AI Blog

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Feb 13, 2025

Building Physical AI for People, Not Robots

Physical AI is here, but the vision behind it is often reduced to robotics powered by multimodal AI models, and we believe this view is too narrow. In this article, we will outline an approach that focuses on enabling AI to independently uncover the underlying principles of the physical world and augment human intelligence rather than replacing humans.

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Apr 29, 2025

How The 184-Year-Old KAJIMA Is Embracing an AI Future in Construction

Through an innovative project involving a major canal reconstruction in Niigata, KAJIMA demonstrates how Physical AI can process terabytes of sensor data to improve efficiency, reduce waste, and preserve expert knowledge in the construction industry.

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Jun 25, 2025

How Newton AI Is Transforming Manufacturing

Despite billions invested in industrial monitoring systems, the majority of manufacturing sensor data goes unused. Newton AI changes this by providing a foundation model that fuses data from different types of sensors to deliver actionable insights for safety, quality, and maintenance — without requiring months of custom development.

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