
ChirpIQ helps manufacturers reduce downtime by predicting equipment failures before they happen. The ChirpIQ SMART Platform analyzes real-time sensor data and learns models from multiple data streams to generate predictive alerts using AI and machine learning. It integrates with existing sensors and PLCs and can be deployed in public or private clouds, leveraging cloud computing and microservices architecture. The system is designed for manufacturing use, scalable across facilities, and includes plans for an App Exchange and a developer IoT platform to expand capabilities.

ChirpIQ helps manufacturers reduce downtime by predicting equipment failures before they happen. The ChirpIQ SMART Platform analyzes real-time sensor data and learns models from multiple data streams to generate predictive alerts using AI and machine learning. It integrates with existing sensors and PLCs and can be deployed in public or private clouds, leveraging cloud computing and microservices architecture. The system is designed for manufacturing use, scalable across facilities, and includes plans for an App Exchange and a developer IoT platform to expand capabilities.