Intelligence that adapts with your processes
Intelligence that adapts with your processes
Newton reveals hidden process states across hundreds of physical signals, catching deviations and uncovering the conditions behind your best runs. Start without labeled data and scale across lines, recipes, and sites without rebuilding models.
PROBLEM
Real-world variation breaks static models
Real-world variation breaks static models
Industrial processes are defined by relationships across many signals, and those relationships shift with changes in materials, equipment, and recipes. Models built for one condition must be rebuilt for the next, while meaningful changes in behavior emerge beyond the reach of existing logic. Newton takes a different approach: a physical world model pretrained to understand physical systems. It learns process behavior from unlabeled sensor data, recognizes specific conditions from a few examples, and adapts as your process changes.
Capabilities
Deeper intelligence, across every process
Deeper intelligence, across every process
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Optimize and control in real time
Turn real-time understanding across signals into recommended operating adjustments—or direct control actions. Adapt parameters as materials, equipment, and conditions change to keep performance on target.
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Predict process outcomes
Forecast how process states evolve to anticipate deviations, failures, and quality outcomes from just a few examples, even as operating conditions change.
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Reveal hidden process states
Fuse hundreds of physical signals—vibration, temperature, pressure, acoustics—with video to discover complex process states and regimes without any labels. Identify emerging behaviors and process drift even when individual signals are in range.
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Understand what drives performance
Connect learned states and multi-sensor patterns to quality, yield, and throughput to uncover the conditions that drive performance. Explain process deviations and contributing signals in plain language to speed root cause analysis.
CUSTOMER STORY
Optimizing uptime with real-time intelligence
Optimizing uptime with real-time intelligence
Continuously interpret multisensor data to identify named pump operating conditions and detect anomalous behavior, giving operators the context to adjust pump behavior earlier, avoid unnecessary interventions, and maintain stable production. Run intelligence in real time on existing edge infrastructure.
10+
sensor streams
1 model
for a fleet of pumps
APPLICATIONS
Extend intelligence across every process
Extend intelligence across every process
Fuse multiple sensor streams with video and domain knowledge to understand process behavior, predict outcomes, and optimize performance.
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Operational state monitoring
Understand operating modes, process stages, and transitions in real time across complex physical signals.
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Process anomaly detection
Surface deviations, instability, and emerging conditions beyond predefined rules and thresholds.
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Performance optimization
Identify the process states and operating conditions associated with higher yield, throughput, efficiency, and other objectives.
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Quality prediction
Anticipate quality issues and off-spec outcomes from process behavior before they become observable downstream.
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Process control
Anticipate quality issues and off-spec outcomes from process behavior before they become observable downstream.
newton agents
Power process intelligence with Newton Agents
Power process intelligence 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.
_Schedule a Demo
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.
