Autonomous IntelligenceIntelligence

A new approach to tool condition intelligence

We develop next-generation manufacturing systems that enable machines to sense, understand, and optimize themselves in real time through physics-driven AI.

SMARC TCMSMARC TCM

Smarter. Lower Cost. Ready for the majority of machines.

Retrofit-ready and easy to implement, enabling intelligent monitoring across existing equipment.

Tool to Factory Factory

From tool-level intelligence to scalable manufacturing systems.

Core Strengths Why SMARCSMARC

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Physics-Based Sensing

Unlike conventional systems relying on vibration or force, SMARC focuses on understanding physical interaction at the tool–material, enabling higher precision and deeper process insight.
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Low-Cost Innovation

SMARC develops cost-efficient sensing technologies for real-world deployment, enabling scalable, accessible, and practical manufacturing intelligence without heavy investment.
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AI-Driven Optimization

By combining AI with physics-based data, SMARC enables intelligent analysis and continuous optimization of manufacturing processes for continuous performance improvement.
SMARC TCM

Tool Condition IntelligenceIntelligence

A new approach to understanding tool–material interaction in real time

SMARC introduces a new layer of intelligence at the tool level, enabling deeper insight into manufacturing processes and unlocking new possibilities for precision, efficiency, and adaptive control.

Applicable across a wide range of manufacturing processes.

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CapabilitiesWhat SMARC EnablesCapabilities

Turning physical interaction into actionable intelligence
Real-Time Insight
Capture and understand critical process behavior as it happens
Process Understanding
Reveal hidden interactions at the tool–material interface
Predictive Intelligence
Anticipate process variations and potential issues
Adaptive Optimization
Continuously improve performance through intelligent feedback
Use Cases

From tool-level insight to
factory-wide optimizationUse Cases

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Tool Wear
Monitoring

・Detect wear progression
・Improve tool life
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Proces
Stability

・Reduce variation
・Maintain consistent quality
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Quality
Control

・Identify defects early
・Prevent scrap
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Predictive
Maintenance

・Anticipate issues
・Reduce downtime

Research & CollaborationDeveloped with academic research partnersCollaboration

Ongoing collaboration with international research institutions.
LMP3
UNIV

Let’s Explore Your Manufacturing Potential !