From Raw Streams
to Real Insight
Ingest, manage, and analyze ROS bag data at scale. From multi-sensor streams to complex robotics workloads, BringUp Data simplifies debugging, post-processing, and exploration so teams move faster from data to decisions.
ROS Bag Library Management
Dive deep into ROS bag data with rich metadata and per-topic analytics, powered by built-in visualization.
Advanced Querying & Intelligent Filtering
Go beyond search with condition-based filtering across bags and experiments. Combine metadata, tags, and attributes to instantly pinpoint the right data.
Library of Processing Nodes
A catalog of reusable containerized actions (built-in and custom) that operate on bags or experiments — topic analysis, stats generation, data transformation. Browsable via an integrated marketplace.
Post-Processing Pipelines
Chain custom processing nodes into repeatable workflows. Run calibration, object detection, map generation, or any ROS-compatible workload on stored data — triggered manually or on ingest.
Self-Hosted Workers
Run data processing locally by attaching your own workers, and scale seamlessly on your own infrastructure.
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