Momentedge
Data intelligence infrastructure for deployed autonomy
Robotics teams generate massive amounts of multimodal data, but capturing the right data and turning it into actionable insight still takes significant engineering work. Momentedge helps teams collect high-value data, surface important events, and assemble the context needed to investigate issues and identify root causes. From fleet operations to evaluation and training, we turn real-world robot data into information teams can act on.
The Challenge
Robot fleets generate more data and more edge cases than teams can manually keep up with. Teams can use triggers to capture data around known events, but real-world deployments also produce unexpected behaviors, performance degradation, and incidents no one thought to instrument for. Engineers are left searching and correlating large volumes of multimodal data to understand what happened, while less obvious issues can stay buried.
Build a smarter data loop for robotics
- Process multimodal robot data - Bring together telemetry, logs, ROS data, video, sensor streams, and operational events
- Surface what deserves attention - Identify failures, anomalies, unusual behavior, and other events worth investigating
- Assemble the relevant context - Pull together the data surrounding an event so engineers can understand what happened
- Feed what you learn back into collection - Use what matters in deployment to improve what gets captured, retained, and analyzed next
Momentedge Clipper
Our open-source ROS 2/Rust component for event-triggered data collection. Clipper preserves the context immediately before and after a trigger in MCAP, helping teams retain targeted evidence when they already know what condition matters.
GitHub: momentedge-clipper - MCAP in, MCAP out, Apache-licensed.
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Contact: hello@momentedge.xyz
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