Overview
Manufacturing operations face critical challenges with unplanned equipment downtime, delayed responses to anomalies, and ineffective Corrective and Preventive Action (CAPA) processes. These issues lead to significant productivity losses, safety risks, and increased operational costs. Traditional monitoring approaches remain largely reactive, manual, and siloed—making it difficult to detect issues early or respond quickly across large-scale operations.
SenseX addresses these challenges with an intelligent automation solution that continuously monitors IoT device data, identifies deviations from standard operating parameters, and proactively initiates alerts or corrective actions—all powered by Amazon Bedrock and Meta Llama 3.3.
Key Capabilities:
Real-time Device Monitoring & Analysis:
- Continuous ingestion of IoT device data streams
- Automated parameter comparison against device manuals and specifications
- Advanced anomaly detection using machine learning algorithms
- Real-time performance analytics and trend identification
Intelligent CAPA Automation:
- AI-powered root cause analysis using Meta Llama 3.3 on Amazon Bedrock
- Automated generation of corrective action recommendations
- Preventive maintenance scheduling based on predictive insights
- Workflow automation for maintenance ticketing and resource allocation
Enterprise Integration & Scalability:
- Seamless integration with existing IoT infrastructure and ERP systems
- Scalable architecture built on AWS services (API Gateway, S3, DynamoDB, Lambda)
- CrateDB integration for high-performance time-series data processing
- Customizable dashboards and reporting capabilities
Developed in partnership with Crate.ai and successfully piloted across multiple manufacturing environments, SensX delivers measurable improvements in equipment uptime, maintenance efficiency, and operational costs. By transforming device insights into automated actions, SensX helps manufacturing operations achieve new levels of productivity and reliability.
Highlights
- Reduce unplanned downtime by up to 30% with AI-powered anomaly detection that continuously monitors device parameters and automatically initiates corrective actions before failures occur.
- Streamline CAPA processes with intelligent automation that analyzes device data, generates root cause assessments, and recommends specific corrective and preventive actions using Meta Llama 3.3 on Amazon Bedrock.
- Scale monitoring capabilities across your entire manufacturing operation with a solution built on AWS services (API Gateway, S3, DynamoDB, Lambda) and optimized for industrial IoT environments.
Details
Unlock automation with AI agent solutions
