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Physical AI for
Upstream Oil & Gas Operations:
Less Downtime,
Fewer False Alarms

Conventional monitoring over-warns, forcing shutdowns for anomalies that were never real and at a cost that often exceeds the event itself. Newton, Archetype AI's Physical AI foundation model, cuts the false positives so your teams act only on the alerts that matter.

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Less Downtime Across Your Entire Fleet

Newton is the first foundation model built for the physical world — designed to fuse multimodal sensor data into real-time intelligence. By learning across machines, sites, and workflows, Newton delivers outcomes traditional predictive maintenance can't.

01
Reduce non-productive time
02
Increase runtime and reliability
03
One model across every asset and site

See Physical AI Read Your Operations Live

Explore how Newton learns continuously from your rigs and wellsites, turning raw sensor signals into intelligence that improves uptime and safety.

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One Platform for All Your Upstream Oil & Gas Needs

Industrial operations are stuck in a reactive loop: pilots that don’t scale, siloed systems, and 98% of sensor data unused. Newton changes your trajectory:

01
Multimodal asset understanding: fuse downhole telemetry, vibration, thermal, current, flow, video, and logs
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Fleet-scale generalization: one model across drilling, production, and asset reliability
03
Few-shot adaptation: onboard new wells and rigs with a handful of examples instead of retraining for months
04
Natural-language operations: define use cases in plain English and automate workflows

From a Single Pilot to Fleet-Wide Intelligence

Start with one use case your team owns and extend the same foundation model across the fleet — no bespoke model per rig or well.

Asset State Detection
Pump Health Monitoring
Newton identifies operationally meaningful drilling and tripping states automatically, supporting remote monitoring experts with signals they can trust — reducing Invisible Lost Time and non-productive time across the campaign, without a custom classifier per rig.
Running as a container on existing edge hardware, Newton distinguishes normal pumping behavior from degraded regimes and catches early degradation before it becomes an unplanned workover, cutting the false alarms that trigger costly, unnecessary shutdowns.

Inside the
White Paper

Explore how Physical AI helps upstream teams move from reactive maintenance to proactive intelligence — unlocking hidden value in existing sensor data. Download the white paper to discover
01
Why ~55% of oil & gas sensor data goes "dark" — stored but never analyzed
02
How one foundation model spans drilling, production, and asset reliability
03
The proof: automated asset-state detection and edge-deployed pump health monitoring