Scale predictive intelligence across your asset base
Scale predictive intelligence across your asset base
Newton discovers novel conditions, diagnoses faults, and predicts what happens next by understanding relationships across hundreds of physical signals. Get started without labeled failures and scale one model across every asset.
PROBLEM
More machines shouldn’t mean more models
More machines shouldn’t mean more models
Predictive maintenance traditionally depends on known failure signatures, labeled examples, and specialized models for particular assets and conditions. As coverage expands, so does the data, tuning, and model maintenance. Newton takes a different approach: a physical world model pretrained to understand physical systems. It learns each machine from unlabeled sensor data, recognizes specific conditions from a few examples, and carries that understanding across equipment and changing conditions.
Capabilities
One model. Deeper intelligence.
One model. Deeper intelligence.
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Get more signal with less data
Identify emerging issues and specific equipment faults by understanding relationships across hundreds of physical signals—even with limited or no failure history.
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Full context, faster action
Newton reads sensor signals, maintenance logs, and manuals to explain what happened, accelerate root-cause analysis, and recommend next steps.
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Predict failures before they disrupt operations
Forecast degradation, failures, and remaining useful life—even as operating conditions change.
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Scale without rebuilding models
Extend intelligence across equipment, adapting to machine variability, process changes, and operating drift—without building and retraining models every time.
CUSTOMER STORY
Uncovering previously unknown failure modes
Uncovering previously unknown failure modes
A wind power operator used Newton to analyze 40+ sensor signals across its turbine fleet, identifying 11 failure modes—including 9 previously unknown—without any labeled data.
40+
signals analyzed together
$50M+
annual downtime exposure
APPLICATIONS
Extend coverage across your predictive maintenance program
Extend coverage across your predictive maintenance program
Fuse multiple sensor streams with video and domain knowledge to understand equipment health, intervene earlier, and keep critical assets running.
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Condition monitoring
Continuously understand equipment health and detect meaningful changes in behavior.
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Anomaly detection
Catch emerging issues outside known failure modes, thresholds, and failure history.
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Fault detection & diagnosis
Recognize specific faults and identify contributing signals for faster root-cause analysis.
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Failure prediction
Anticipate developing failures and equipment degradation.
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Remaining useful life
Estimate how long equipment or components can continue operating before intervention.
newton agents
Power predictive maintenance with Newton Agents
Power predictive maintenance with Newton Agents
Newton Agents apply Newton's physical understanding to predictive maintenance, continuously analyzing sensor data to understand equipment conditions, anomalies, and faults. Start with prebuilt agents and adapt them to your operations. Connect your IoT infrastructure, CMMS, EAM, and operational applications so teams can act where they already work.
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Put Physical AI to work
Talk with one of our Physical AI experts and learn how to deploy Newton Agents across a wide range of use cases — mapped to the outcomes you care about.
