Physical agents that perceive, reason, and act in the real world
Newton Agents turn sensor data, vision, and domain knowledge
into real-time understanding of your operations — improving asset reliability, optimizing processes, and scaling operator expertise.
Start with ready-to-deploy agents or build your own.
challenges
From physical signals to operational understanding
Industrial operations generate more data than any team can process, from sensor streams and telemetry to operator logs. Hidden within it are the early signatures of machine failure, the subtle variables behind successful production, and the expertise earned over years of hands-on work.
Newton Agents activate that intelligence — monitoring, optimizing, and automating physical operations in real time. Powered by the Newton foundation model, agents fuse physical signals from any sensor with video and language into a unified understanding across your machines, processes, and workforce.
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Understand machine behavior to identify anomalies, degradation, and early signs of failure before they impact production.
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Reveal hidden process conditions and drivers to improve quality, throughput, and efficiency.
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Verify task execution, generate guidance, help teams perform consistently and safely.
NEWTON AGENTS
Ready-to-deploy agents, ready for any operation
Newton Agents are prebuilt to solve common operational challenges. Unlike traditional industrial AI that requires custom models for every machine, site, or environment, Newton Agents work across any asset with just a handful examples—eliminating months of model data labeling, model development, and retraining.
Surface emerging issues and unknown failures for early investigation and response.
Common use cases:
Detect previously unknown equipment issues
Identify emerging process abnormalities
Surface novel failure modes
Monitor assets without labeled failure history
Discover novel anomalies and failure modes across complex sensor streams—without any labeled data. The agent surfaces issues from cross-sensor patterns, enabling operators to investigate emerging risks before they impact production.
Detect critical events and failures from just a handful of examples.
Common use cases:
Detect known failure modes
Identify critical operational events
Monitor infrequent quality or safety issues
Reduce missed detections despite limited training data
The most critical operational events often have very little historical data, making them difficult for traditional AI systems to learn. The agent learns the unique patterns associated with known faults, failures, or operational events from just a handful of labeled examples, enabling teams to identify critical conditions before they become larger operational problems.
Understand the hidden operating conditions that drive machine performance.
Common use cases:
Monitor asset condition and performance
Detect process drift and degradation
Identify and maintain optimal operating envelopes
Continuously monitor machines and industrial processes by identifying changing operating states from multimodal sensor data. The agent provides real-time visibility into machine behavior, surfacing equipment degradation, process instability, and the operating envelopes that drive reliability, quality, and throughput.
Turn video demonstrations into step-by-step documentation.
Common use cases:
Generate work instructions and standard operating procedures (SOPs)
Document maintenance and inspection procedures
Create visual training and onboarding materials
The agent analyzes video recordings of operational procedures to automatically generate work instructions with relevant images for every step. Organizations can rapidly create and maintain standardized procedures, reducing documentation overhead while preserving institutional knowledge.
Verify work execution in real time to prevent costly defects.
Common use cases:
Detect task deviations and quality issues
Verify SOP compliance
Reduce manual quality inspections
Support operator training, onboarding, and consistency
Execution and procedural errors can lead to costly defects, turning minor mistakes into rework, scrap, or customer quality issues. The agent verifies work is performed according to standard operating procedures, observing work as it happens and identifying deviations before the product moves to the next stage.
Common use cases:
Don’t see your use case? Build custom agents on the Archetype Platform.
Archetype AI platform
Learn. Adapt. Deploy.
Newton Agents automatically discover patterns and behaviors in your operational data. Label a few examples to identify the conditions that matter, then continuously recognize them in real time.
Build your first Newton Agent
Get hands-on with Newton Agents. Start a free 14-day trial or join a monthly hands-on meetup with the Archetype AI team.
_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.
