What It Does

Roboto is an analytics engine built specifically for Physical AI and robotics teams. It ingests multimodal robotics data from any format—ROS, PX4, Ardupilot, MCAP, Parquet, JSON, CSV, and custom logs—and automatically surfaces critical issues, anomalies, and edge cases hiding in petabytes of sensor data. Roboto transforms raw recordings into structured, queryable datasets, enabling teams to diagnose failures, track reliability metrics, and curate training data for AI models.

Who It's For

Roboto serves robotics teams deploying drones, autonomous vehicles, medical robots, and other physical AI systems from prototype to production. It's designed for organizations where uptime and reliability are mission-critical—whether you're building public safety drones, surgical robots, or autonomous fleets operating at scale.

Key Features & Capabilities

• Automated Analysis: Replace manual log review with AI agents that triage issues, detect root causes, and flag anomalies like vibration spikes, GPS jamming, sensor clipping, and failsafe activations
• Fleet-Wide Search: Query across thousands of flights or missions by hardware config, software version, or signal patterns—no downloads required
• Multimodal Playback: Time-sync video, telemetry, and system logs into a unified view with key events highlighted
• One SDK, Every Format: Python SDK provides a single API to read ROS bags, ULogs, MCAP, Parquet files, and more—works in Jupyter, CI pipelines, or automated workflows
• Data Curation: Slice long recordings into episodes, organize them into Collections, and export to training formats like LeRobot
• Custom Metrics & Triggers: Create KPIs to track performance across your fleet; set up Actions and Triggers to automate workflows on every new upload
• Audit Trail: Version-controlled, repeatable analysis pipelines prepare evidence for regulatory review (FDA 510(k), FAA Part 108)

Typical Workflows

Teams use Roboto to automate QA on every unit at the factory, triage disengagements in autonomous vehicles, validate medical procedures in R&D labs, and build audit trails for regulators. Case studies include BRINC cutting root-cause diagnosis from days to minutes and ANYbotics reducing investigation time for hardware/software failures.

What Sets It Apart

Unlike traditional log visualizers that show one recording at a time, Roboto analyzes every log automatically, letting you start with answers instead of timelines. It combines deterministic analysis with AI agents, scales from single datasets to fleet-wide metrics, and turns every procedure or flight into training data.