
Transform large-volumes of sensor data into actionable insights for IoT and OEM industry.
Vendor
KX
Company Website
Scale data analysis for massive IOT data volumes.
Introducing KX Sensors
KX Sensors transforms vast IoT data into actionable insights, helping businesses maintain a competitive edge.High-performance analytics enable real-time and historical sensor data analysis to quickly identify abnormalities, detect faults, and predict failures.Optimize efficiency, maintain data fidelity, and reduce downtime with powerful analytics that turn sensor data into business value, ensuring reliable operations and maximizing performance across your organization.
Features
Next-level data processing
Able to process 4 million data points per second, enabling fast decision-making based on the highest data volumes.
Integrated VEE analytics solution
Support validation, estimating, and editing of real-time and historical data to combat data quality challenges.
High performing, resource efficient
Supports any sensor, frequency, tags, and attributes with nanosecond precision, while minimizing infrastructure cost.
Designed for extensibility
Ensures compatibility with kdb VSCode extension as well as custom processes, tables, APIs, and business logic.
Resilience and availability
Hardened for the most rugged environments with fully online upgrades mean zero-downtime to suit high availability needs.
Customizable and flexible
Layered application architecture provides high customizability and flexibility, suitable for OEM use.
Use cases
Reduce waste and limit downtime
Identify and address abnormalities during the manufacturing process with real-time data analytics. Detect faults early, enabling swift action to eliminate waste, reduce downtime, and maintain operational efficiency. Ensure consistent quality and minimize disruptions in production workflows.
Predict and prevent failures
Predict asset failures by analyzing real-time and historical data. Optimize equipment performance and extend its lifespan while proactively scheduling maintenance to avoid unplanned downtime. Enhance efficiency, reduce repair costs, and ensure smooth, uninterrupted operations.