Newton understands physical tasks across video, sensor data, and operational context to recognize actions, verify execution, measure performance, and capture expert knowledge. Start with a prompt—no training or labeled examples required.
PROBLEM
Verification can’t keep up with real-world work
Verification can’t keep up with real-world work
Assembly, maintenance, sanitation, and countless other activities depend on careful execution. One misstep can mean defects, downtime, or safety risks. Yet verification relies on manual supervision or bespoke vision systems, which can't scale across the volume of real-world work or the variation in how it gets done. Newton takes a different approach: a physical world model that recognizes actions and procedures automatically from video and sensor data, letting you define what to monitor with a prompt instead of building specialized models for every task.
Capabilities
Deeper intelligence, across every task
Deeper intelligence, across every task
_01
Recognize every action and sequence
Interpret physical activity from video and sensor signals, from individual actions to complete procedures. Define what matters in text and Newton identifies when and where it occurs without any labeled examples.
_01
Verify each step as it happens
Check work against standard procedures in real time, confirming the right actions, parts, and materials occur in the right sequence. Flag missed steps, incorrect actions, and deviations in execution.
_01
Guide operators in real time
Provide guidance as work unfolds, helping operators take the right steps and correct mistakes before they move downstream, reducing defects, rework, and delays.
_01
Capture and scale expert knowledge
Skip the manual write-up. Record experienced workers on the job and turn the video into step-by-step procedures and training materials that preserve hard-earned knowledge.
CUSTOMER STORY
Catching quality issues in real time
Catching quality issues in real time
An industrial equipment manufacturer used Newton to verify assembly tasks directly from live camera feeds, identifying real quality issues as work happened on the line. Newton also surfaced intentional operator improvements that could be incorporated into standard procedures—all without task-specific model training.
Zero
task-specific model training
Months to weeks
deployment time
APPLICATIONS
Extend intelligence across physical work
Extend intelligence across physical work
Combine video, physical signals, and operational knowledge to understand how work is performed, verify execution, measure performance, and preserve expertise.
//01
Task & SOP verification
Confirm required actions and steps are completed correctly and in the expected sequence, from production procedures to maintenance work.
//01
Assembly verification
Verify that the right components, tools, and actions are used throughout complex assembly workflows.
//01
Work quality verification
Verify that physical work meets quality requirements by identifying incorrect actions, missing components, and other execution issues.
//01
Productivity tracking
Measure how work gets done across workers and workflows to identify cycle times, bottlenecks, and opportunities to improve performance.
//01
Knowledge capture & manual generation
Capture expert demonstrations and turn them into reusable procedures, instructions, and training materials.
newton agents
Power any task with Newton Agents
Power any task 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.
