Roboto AI
Roboto AI is an analytics engine for searching, transforming, and analyzing robotics data at scale.
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What is Roboto AI?
Roboto AI is the analytics engine for Physical AI, designed to help robotics teams ship reliable robots at any scale. The platform analyzes robotics data so teams understand how their robots behave, why they fail, and what to improve. It ingests every robotics log format and automates data analysis, enabling users to understand robot behavior, diagnose failures, and improve system performance without manually reviewing logs.
Key features include automated analysis workflows, multimodal pattern search across petabytes of data, curating structured datasets from logs, and tracking custom reliability metrics across fleets. The platform supports ROS bags, PX4 (ULog), Ardupilot, MCAP, Parquet, CSV, JSON, Journal, video formats (MP4, MKV, AVI), and custom binary formats. Roboto offers a Python SDK for programmatic interaction, CLI tools, AI agents for automated triage and root cause analysis, signal search for finding similar patterns in time-series data, and image search for finding objects across thousands of datasets.
Roboto AI is built for industries where uptime and reliability matter: drone companies (public safety, delivery, defense), medical devices and surgical robot manufacturers, and autonomous vehicle teams. It serves robotics engineers, data analysts, algorithm developers, and reliability teams from prototype to production. Featured customers include BRINC (public safety drones), ANYbotics (autonomous robots), Telos Health (surgical robots), and Walker Robb's team.
The platform enables teams to preemptively find complex hardware and software issues across fleets before customers do, significantly reduces time and cost for investigating failures, and builds audit trails for regulators like the FAA and FDA. Roboto was founded by Amazon Robotics and AWS veterans who understood that robotics has a data problem, not an algorithm problem.
Roboto AI pricing
Pricing model: Free
Freemium model available. The platform offers a free tier with core functionality. Paid plans include enterprise features like SSO integration over SAML or OIDC, role-based access controls, managed cloud storage or VPC deployment, and retention window controls. Teams can choose between Roboto's cloud or self-hosted deployment inside their own AWS environment. Specific pricing tiers and exact costs are not publicly listed on the website - interested users likely need to contact the company for enterprise pricing details.
Roboto AI pros
- Ingests every robotics log format through single Python SDK
- Automates analysis workflows instead of manual replay tools
- Searches patterns across petabytes of data
- Signal search finds similar patterns in time-series signals
- Image search finds objects across thousands of datasets
- AI agents automate triage and root cause analysis
- Supports ROS, PX4, MCAP, Parquet, CSV, JSON, Journal formats
- Builds FAA Part 108 audit trails for drone companies
- Prepares FDA evidence for 510(k) submissions
- Tracks custom reliability metrics across entire fleets
- 90% less time on fleet-wide root-cause analysis
- Curates structured datasets for training and evaluation
- Connects to AWS S3 buckets directly or offers managed cloud storage
- Role-based access controls scoped by user, team, and dataset
- Works with Jupyter, pandas, and existing Python scripts
- Same Python SDK for ad-hoc analysis and production Actions
- Multimodal playback with time-synced video and telemetry
- Disengagement triage on autopilot for AV teams
- Catches vibration spikes, GPS jamming, sensor clipping issues
- Automated QA on battery health, sensor fusion, GPS, motor performance
Roboto AI cons
- Upcoming natural language search not yet available
- Requires creating account and access token to use
- Python 3.10+ requirement may limit older environments
- Primarily focused on robotics industry, not general use
- Self-hosting requires own AWS environment setup
- Natural language query feature still in development
- May require learning new Python SDK for existing teams
- Cloud storage option may not suit all security requirements
Frequently asked questions about Roboto AI
What is Roboto AI?
Roboto is the analytics engine for Physical AI. It ingests every robotics log format and automates robotics data analysis so you can understand robot behavior, diagnose failures, and improve system performance.
How is Roboto different from visualizers?
Visualizers show you one log at a time. Roboto analyzes every log, flags the issues that matter, and lets you query patterns across your entire fleet. You start with the answer, not a timeline.
How does Roboto process my logs?
Roboto reads your logs from your bucket or upload, indexes every topic and event, runs configurable agents and deterministic health checks against each one, and surfaces results. The same Python SDK powers ad-hoc analysis and production Actions.
What file formats does Roboto support?
Roboto supports multimodal data stored in ROS bags, PX4 (ULog), Ardupilot (bin, log, tlog), MCAP, Parquet, CSV, JSON, Journal, video (MP4, MKV, AVI), and custom binary formats. You can add a new format in a few lines of Python and the rest of the platform inherits it.
Where is my data stored?
You choose. Connect an AWS S3 bucket and Roboto indexes and reads from it directly. For teams that prefer it, Roboto also offers fully-managed storage in their cloud or your VPC.
How does Roboto handle security and compliance?
Roboto connects to your existing SSO over SAML or OIDC, with role-based controls that scope access by user, team, and dataset. Run Roboto in their cloud or self-hosted inside your own AWS environment. Every action is logged with retention windows you control.
What industries does Roboto serve?
Roboto is built for industries where uptime and reliability matter: drones (public safety, delivery, defense), medical devices and surgical robots, and autonomous vehicles. It serves teams from prototype to production.
Can Roboto help with regulatory audits?
Yes. For drone companies, Roboto builds the FAA Part 108 audit trail. For medical devices, every analysis runs through repeatable, version-controlled pipelines to prepare evidence for FDA review and 510(k) submissions.
How do I start using Roboto?
Install with pip install roboto. It works with Python 3.10+, Jupyter, pandas, and your existing scripts. Use the Roboto SDK to start reading ROS, PX4, MCAP, and Parquet files through one Python API in your notebook, in CI, or on every new upload.
What are Roboto's AI agents?
Agents analyze data for you and automate triage, root cause analysis, and event detection. For AV teams, Roboto's agents determine the failure mode and potential root cause for every disengagement, and tag them in your issue tracker. You review insights not raw logs.