Intelligence that keeps production running
Intelligence that keeps production running
The patterns that reveal machine health, process performance, and product quality are often hidden across physical signals. Newton uncovers them across machines, production lines, and facilities—helping manufacturers catch emerging issues and optimize production without a custom model for every machine.
USE CASES
Put Physical AI to work across your operations
Put Physical AI to work across your operations
Newton Agents bring together physical signals—from vibration and electrical current to temperature, pressure, and video—to monitor asset health, optimize production, verify quality, and automate control.
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Detect failures hidden across every signal
Monitor CNCs, industrial robots, presses, conveyors, and other production equipment. Understand behavior across sensor signals to detect novel anomalies and degradation, diagnose faults, and prevent unplanned downtime.
- Machine condition monitoring
- Anomaly detection
- Equipment failure detection
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Adapt production as conditions change
Understand production processes in real time. Identify operating states, process drift, bottlenecks, and inefficiencies to optimize controls, improve throughput, and maintain consistent quality.
- Process drift detection
- Product quality monitoring
- Control optimization
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Turn expert execution into consistent quality
Verify assembly, inspections, and critical production tasks as work happens. Identify missed steps, ensure process adherence, and capture expert workflows to reduce quality issues, scrap, and rework.
- Assembly verification
- Inspection verification
- Expert knowledge capture
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Turn connected products into intelligent products
Embed Physical AI into products to understand their health, activities, and surroundings. Enable products to recognize changing conditions, adapt how they operate, and support new services throughout the product lifecycle.
- Product health & diagnostics
- Activity & environment recognition
- Adaptive control
_01 case study
Reduced oil rig downtime
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.
_ on-demand webinar
Inside a live Hyster-Yale deployment: how Physical AI Agents adapt per site and catch quality issues without retraining.
newton agents
AI agents built for physical operations
AI agents built for physical operations
Newton Agents continuously interpret physical data to understand machine and process behavior, detect emerging issues, and verify critical activity across your operations. Start with prebuilt agents and adapt them to your equipment, processes, and operating environment.
A physical world model
Built for the demands of modern manufacturing
Built for the demands of modern manufacturing
Newton, Archetype’s physical world model, learns patterns of physical behavior across diverse sensor data, providing a common foundation for understanding machines, production processes, and physical activities across operations.
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Production insights from every signal
Connect patterns across physical signals to reveal machine and process behavior no single signal can capture alone.
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Scale intelligence across machines, lines, and sites
Adapt across machines, lines, and production environments without building custom models for every application.
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Built to run where production happens
Deploy to on-premise and edge hardware for real-time intelligence, reliable operations, and complete control of your data.
blog
The Archetype AI Blog
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.
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.
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.
_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.
