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Ask questions like “Show me all navigation failures in the last 24 hours” and get instant results — no SQL, no filters, just plain English queries.
Search across all robots, test runs, and log files at once. Stop hunting through individual bag files — everything is indexed automatically.
Mobius understands your data model. It links topics, events, and anomalies together, giving you a full picture of what happened and why.
Turn your searches into saved queries and real-time alerts. Get notified when a problem reoccurs — before it impacts your next deployment.
Replay bag files and MCAP logs natively, with synchronized timelines for every topic, camera, and sensor stream — no conversion needed.
Analyze and replay data from your laptop, tablet, or phone — whether you’re in the office, the lab, or out in the field.
Automatically detect unusual behaviors — navigation errors, sensor dropouts, unexpected stops — and highlight them for investigation.
Receive instant alerts (Slack, email, or webhooks) when critical events occur. Filter noise so your team only sees what matters.
Mobius learns from historical logs to predict future failures (e.g., motor overheating, sensor drift) — so you can schedule maintenance before a robot goes offline.
Tag specific events in the timeline, leave comments, and assign follow-ups. Turn a bug in a log into a tracked task for an engineer.
Plug Mobius into ROS, MCAP, OpenLABEL, Slack, GitHub, Jira, and CI pipelines. Automate log uploads, attach data to tickets, and keep debugging workflows smooth.
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