
Industrial-grade, scalable, and cloud-connected – Megalog, the latest innovation from ODOSOLUTIONS AB (ODOS), a leader in advanced data logging and edge analytics, is purpose-built to bring high-throughput CAN-FD data to the cloud. Designed for real-time fault detection, over-the-air diagnostics and predictive maintenance, Megalog is the ideal solution for fleet operators, test engineers, and industrial OEMs operating in safety and mission critical environments.
Built for harsh environments and high-stakes deployments, Megalog delivers seamless, real-time data streaming from ECU networks to the cloud, transforming how fleets, machines, and R&D teams capture and act on critical data.
“You can’t fix what you can’t see,” says Joachim Englund, CTO at ODOS. “As vehicles and machines grow more connected and complex, engineering teams need smarter, scalable, industrial-grade tools for remote fault detection and over-the-air diagnostics. Megalog delivers exactly that, real-time edge-to-cloud visibility, anywhere in the world.”

Encased in an IP67-rated chassis with a pressure equalisation valve for durability in environments with extreme vibration, temperature shifts, and pressure differentials, Megalog is ready for the roughest conditions, from mining operations and construction sites to advanced test fleets and high-altitude testing.
At its core:

What truly sets Megalog apart is its deep integration with the award-winning ODOS Cloud Platform. A secure, GDPR-compliant system built for scalable insight. Engineers can remotely stream, visualise, and analyse high-frequency data in real time, while leveraging AI/ML capabilities for diagnostics, anomaly detection, and trend analysis.
With native support for over-the-air updates, and remote configuration and diagnostics, Megalog eliminates the delays of manual data retrieval and empowers teams to move faster, from test benches to field deployment.
Whether you’re running armoured vehicle trials, managing rail assets, or monitoring critical industrial systems, Megalog gives you the tools to move from raw data to real decisions: securely, remotely, and at scale.