Edge Insights Beta License key

Description

Edge Insights is designed for validation engineers, HIL teams, embedded developers, field-service engineers, and fleet operations teams working with trucks, buses, construction equipment, mining, marine, and other heavy-duty CAN networks. It helps detect issues earlier—during development and testing, before they become expensive production or field failures.

Core features

• Automatic anomaly detection for timing issues, bus congestion, and signal anomalies.

• Foreign CAN ID detection to identify unexpected, rogue, or incorrectly configured messages.

• Unified dashboards that make it easier to review events, correlate signals, and investigate the moments that matter.

• Continuous CAN logging and analysis with configurable data retention.

• Offline-first deployment for sites and vehicles where cloud connectivity is limited or unavailable.

• Runs on Windows and Linux, with support for SocketCAN and J1939.

• Kvaser Edge Ready starts on a PC with a Kvaser USB interface, then moves configurations, DBC files, and dashboards to edge hardware when you are ready for in-vehicle or field deployment.

Beta access

This is a beta release of Edge Insights. By joining, you get early access to the platform and the opportunity to help shape its development.

During the beta period, we would greatly value your feedback on:

• Features that are most useful in your daily CAN-analysis workflow

• Missing capabilities, integrations, or hardware support

• Dashboard usability and anomaly-detection results

• Bugs, edge cases, and performance observations

• Improvements that would make Edge Insights more valuable for your test, validation or field environment

Your input will directly help us prioritise product improvements ahead of future releases.

Learn more

For product information, technical details, documentation, and demos, visit CED Edge Insights. The product site includes more detail on how Edge Insights supports automated CAN analysis from laptop-based development through to edge and vehicle deployment.