Company BrochureA multimodal AI agent that reads the invisible field
InnerSense AI
InnerSense AI is a next-generation field intelligence system
that integrates sound, vibration, vision cameras, and air quality data.
It combines multiple AIs into a single unified system
to predict and prevent hazardous situations in advance.
Why We Built This
Traditional field management has clear limitations.
Existing systems operate independently, making it difficult to understand the complex context of hazardous situations. They could only detect results after an incident occurred, not predict the root causes in advance.
After Response
Reactive post-incident response
- Response after incident occurrence
- Lack of proactive detection
- Limited preventive management
Human Judgment
Judgment dependent on operator experience
- Judgment relying on worker experience
- Dependence on individual skill level
- Difficulty in ensuring consistency
Siloed Data
Fragmented sensor data
- Fragmented sensor data
- Lack of integrated analysis
- Difficulty in understanding overall context
After Alert
Alerts only after disasters occur
- Notification after incident occurs
- Delayed response time
- Limited damage minimization
Beyond fragmented sensors and experience-dependent judgment, Multimodal AI integrates all signals into a single unified standard.
Introducing Multimodal AI Agent Technology
Introducing the Multimodal AI Agent Architecture.
InnerSense AI operates with compound AI agents that analyze multi-sensor data in a distributed architecture, deriving risk situations through consensus via the agent network.
Unified AI Agents
Experience the power of Multimodal AI Agents that unify all senses.
InnerSense AI is not a single AI, but a collaborative system where specialized AI agents — Sound, Vibration, Vision (Camera), and Air Quality — communicate with each other to make intelligent decisions.
Sound Agent
Sound Agent
Analyzes abnormal sounds and pattern changes occurring in equipment and work environments to detect early signs of anomalies based on acoustic data.
Vibration Agent
Vibration Agent
Detects subtle changes in vibration patterns and frequency shifts to identify structural issues or equipment condition changes.
Air Quality Agent
Air Quality Agent
Monitors changes in key air components and environmental shifts to detect workplace hazards and risky conditions in real time.
Vision Agent
Vision Agent
Analyzes visual data to detect spatial anomalies, abnormal movements, and abnormal airflow, while predicting situational risks.
Collaborative
Multimodal AI Agents collaborate with each other to determine hazardous situations.
Each agent's independent analysis results are shared in real time through the network. They cross-reference different sensory signals to adjust and enhance reliability. This process eliminates simple noise or isolated errors, ensuring accurate identification of the true nature of hazardous situations.
No Accident Data Required
Why can InnerSense AI operate immediately without large-scale accident training data?
InnerSense AI does not rely on massive training datasets based on past accident history. It is an innovative system architecture that focuses on analyzing subtle 'changes' from normal patterns and the 'contextual relationships' between agents.
Technical Features
Change-based Analysis:Detects minute deviations from normal patterns rather than relying on absolute threshold values
Contextual Judgment:Minimizes false positives by simultaneously analyzing patterns from sound, vibration, and vision
Initial Rule-Based & Incremental Learning:Enables immediate deployment in new environments, with self-improving accuracy through real-world operation
Key Benefits
True Zero-Shot Deployment:Can be deployed instantly without any prior training data
Rapid PoC and Reliable On-site Validation:Fast verification and stable performance even in short proof-of-concept periods
Maximum Operational Efficiency:Quick deployment across multiple sites, dramatically reducing rollout time
No Accident Data Required
Discover the 5 Key Benefits of Implementing InnerSense AI.
Risk Prevention
Preemptive Disaster Prevention
- Detects risk signals in advance to secure critical response time before accidents occur.
Cost Reduction
Operational Cost Reduction
- Prevents unnecessary maintenance and downtime costs by predicting equipment and facility failures in advance.
Zero Accidents
Zero Critical Accidents
- Strengthens on-site safety and minimizes human error-related risks.
24/7 Monitoring
24/7 Automated Surveillance
- Enables continuous automatic monitoring to reduce reliance on human oversight and maximize operational efficiency.
Data Assetization
Field Data Digitization
- Transforms on-site data into valuable digital assets, providing a foundation for continuous improvement and operational optimization.
InnerSense AI goes beyond simple monitoring to accelerate the digital transformation of the workplace and build a competitive smart field.
Industry Applications
InnerSense AI can be applied across various industries.
InnerSense AI
AI Platform
Manufacturing
& Quality
Manufacturing Process & Quality Control
Early detection of equipment anomalies
Predicts failures before they occur to minimize production risks and defects.
Logistics
Automation
Logistics Centers & Automated Facilities
Optimization of sound and vibration-based detection
Analyzes equipment sound and vibration to improve operational efficiency and stability.
Construction
& Plant Safety
Construction Sites & Plant Safety
Real-time hazard detection at construction sites
Detects structural anomalies and worker risk factors in advance to prevent accidents.
Energy
& Environment
Energy, Environment & Public Infrastructure
Environmental change detection
Monitors environmental variables to ensure safe and stable operation of energy and public infrastructure.
Smart City
Urban infrastructure monitoring
Monitors the condition of city infrastructure in real time to enable safer and more efficient urban operations.
Smart Factory
Integrated control and optimized operation
Integrates field data to simultaneously improve safety, productivity, and operational efficiency.
We provide the optimal customized solution tailored to your industry sector.
Not a response 'after' the accident, but a judgment 'before' the accident.
InnerSense AI presents a new standard that predicts the future of the workplace.