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Roboto

Analytics engine for robotics data that detects failures and improves fleet reliability.

Last updated: Jun 24, 2026

Pricing

Updated: Sep 10, 2025
Starting Price
Free
Pricing Model
freemium
Free Plan
Yes
Free Trial
No

About Roboto

Roboto is an analytics platform designed to help robotics teams analyze their data at scale, understand how their robots behave, identify why they fail, and determine what improvements are needed. The platform ingests robotics data from multiple formats including ROS bags, PX4 ULogs, MCAP files, Parquet, and custom formats, then automatically surfaces critical issues, anomalies, and patterns that would be difficult to spot manually. Roboto is built for teams shipping robots from prototype to production across industries including drones, autonomous vehicles, and medical robotics. It combines automated data ingestion, workflow automation through Actions and Triggers, AI-powered analysis agents, and dataset curation capabilities. The platform enables teams to track fleet-wide reliability metrics and search across thousands of flights or missions to find edge cases and configuration-specific issues. A key limitation is that its value depends on having properly instrumented robotics systems that generate compatible log data.

At a glance

Company
Roboto Technologies, Inc.
Platforms
Web, API, Python SDK
API
Available
Integrations
PyTorch, Hugging Face, S3, Jupyter
Last verified
June 2026
Last updated: June 24, 2026

Who It's For

  • Robotics teams building autonomous systems from prototype to production
  • Drone operators and manufacturers requiring reliability assurance
  • Autonomous vehicle development teams
  • Medical robotics companies
  • Organizations in industries where uptime and reliability are critical
  • Machine learning teams needing curated datasets from robotics data

How It Works

  1. 1Ingests robotics data from multiple formats (ROS .bag, PX4 .ulg, MCAP .mcap, Parquet, video .mp4, and custom binary formats) through a single Python SDK
  2. 2Indexes and structures raw multimodal logs into searchable, queryable datasets
  3. 3Uses Actions and Triggers to automatically process raw data into metrics and fleet-level KPIs
  4. 4Employs AI agents to analyze data, perform automated triage, conduct root cause analysis, and detect anomalies
  5. 5Enables searching across metadata, tags, topics, and events to find patterns in large datasets

How to Use Roboto

  1. 1Install the Roboto SDK via pip (requires Python 3.10+)
  2. 2Upload robotics logs through the platform or programmatically via the SDK
  3. 3Configure Actions and Triggers to automate analysis workflows
  4. 4Query datasets using Python API to retrieve specific topics, signals, and time ranges
  5. 5Review AI-generated summaries and insights instead of raw logs
  6. 6Create custom Collections to curate datasets for training and export to ML pipelines

Key Features

  • Multi-format log ingestion (ROS, PX4, MCAP, Parquet, video, custom formats)
  • Automated workflow execution via Actions and Triggers
  • AI-powered analysis agents for triage and root cause analysis
  • Pattern search across petabyte-scale datasets
  • Custom metric creation and fleet-wide KPI tracking
  • Dataset curation and export to ML frameworks (PyTorch, Hugging Face, S3)
  • Anomaly detection for sensor and system issues
  • Metadata and topic-based filtering and search

Use Cases

  • Automated quality assurance testing across production robot fleets before deployment
  • Root cause analysis of failures and anomalies across thousands of flights or missions
  • Creating curated datasets from robotics logs for machine learning model training and evaluation
  • Detecting critical issues like vibration spikes, GPS jamming, sensor drift, and failsafe activation
  • Generating audit trails and compliance documentation for regulated industries like drone operations

Pros & Cons

Advantages

  • Supports multiple robotics data formats through a single unified Python API, eliminating need to build custom parsers
  • Automates anomaly detection and root cause analysis that traditionally required manual log review, reducing diagnostic time from days to minutes
  • Enables searching and filtering across fleet-wide datasets without downloading files locally
  • Provides AI-powered agents that automatically identify issues and generate summaries, scaling analysis as data volume grows

Disadvantages

  • Requires robots to generate compatible log data; value is limited for systems without proper instrumentation or telemetry
  • Platform focuses specifically on robotics data, limiting utility for teams outside the robotics industry
  • Learning curve for setting up custom Actions, Triggers, and workflows beyond basic usage

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Frequently Asked Questions

What is Roboto?

Roboto is an analytics platform designed to help robotics teams analyze their data at scale, understand how their robots behave, identify why they fail, and determine what improvements are needed. The platform ingests robotics data from multiple formats including ROS bags, PX4 ULogs, MCAP files, Parquet, and custom formats, then automatically surfaces critical issues, anomalies, and patterns that would be difficult to spot manually.

How much does Roboto cost?

Roboto is free to use.

Is Roboto free?

Yes, Roboto offers a free plan you can start with.

What are the best Roboto alternatives?

Popular Roboto alternatives include Automorphic, Invariant Labs, Foxglove Studio.

What is Roboto used for?

Roboto is commonly used for Automated quality assurance testing across production robot fleets before deployment, Root cause analysis of failures and anomalies across thousands of flights or missions, Creating curated datasets from robotics logs for machine learning model training and evaluation.

Does Roboto have an API?

Yes, Roboto offers an API for developers.

What platforms does Roboto support?

Roboto is available on Web, API, Python SDK.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.