Analytics engine for physical AI

Ship reliable robots, at any scale.

Roboto analyzes every log, so you always know what your robots are doing, why they're failing, and what to improve.

image · roboto visualizer · hero product shot
Full-width Roboto visualizer: fleet dashboard, time-series, video, AI summary panel open on the right.

Trusted by teams building the future of physical AI.

+BRINC
"We preemptively find complex issues across our entire fleet before they become a problem for our customers."
— Walker Robb, VP Eng · BRINC
Read case study →
CLEO
AMBOTICS
+TELOS HEALTH
"Roboto helps us qualify every device before it reaches a patient."
— Telos Health
MOON SURGICAL
CIVROBOTICS
PDW
ANDROMEDA
View all customers →
Overview

Every robot produces more data than your team can review. Most of it never gets looked at. Roboto reviews every log, automatically.

01

Automate the analysis, not just the visualization.

Every log gets analyzed the moment it lands. Your engineers walk in knowing what to fix, not what to look for.

02

One query. Every log. Every robot.

A visualizer shows you one incident. Roboto shows you every time it's happened. RoboQL, signal similarity search, and natural-language queries answer the question after every failure: is this one robot, or all of them?

03

Catch every failure, not just the obvious ones.

Deterministic checks catch the obvious failures like battery health and error codes. AI agents surface the subtle ones: anomalies and degradation trends.

Platform

From raw logs to shipped fixes, in one platform.

Roboto ingests every robotics format, analyzes every log, and helps your team ship fixes backed by fleet-wide evidence.

Ingest

Every log, every format, in one place.

Roboto reads the multimodal, messy data robots actually produce. ROS, PX4, MCAP, Parquet, and the custom formats your team uses. Your storage or ours. Your data stays yours.

  • 01
    Any robotics format
    ROS, PX4, MCAP, Parquet, and custom. One platform, every format your fleet produces.
  • 02
    One unified API
    The same Python call works across every format. No per-format parsers to maintain.
  • 03
    Your data, your storage
    Connect your S3 bucket or upload directly. No data migration, no pipelines to build.
Ingest reference →
Analyze

From triage to root cause, before your customers notice.

AI agents analyze every log, surface anomalies, and explain root causes with the evidence attached. Your engineers get answers, not just alerts.

  • 01
    Agents purpose-built for robotics
    Triage, root cause, summary, event detection, and anomaly detection. Agents you configure for the failure modes your team cares about.
  • 02
    Search across every dataset, file, and topic
    Filter by metadata, topic statistics, or tags. Save results as collections. Switch between basic search and RoboQL when you need precision.
  • 03
    CI/CD for your robotics data
    QA checks, regression tests, and health monitors. Package any Python analysis as an Action and Roboto runs it automatically on new data.
Analyze reference →
Improve

Close the loop. Turn every fleet finding into the next release.

Roboto doesn't stop at the alert. Ship a fix, re-run the exact scenario across every historical log, and watch the regression disappear, or catch a new one before it leaves the branch.

  • 01
    Reproduce any issue, across any run
    Pin a failing moment from a field log and replay the exact slice against new firmware, new perception weights, or a new planner. No custom rigs.
  • 02
    Curate training data from what actually breaks
    Save interesting events and edge cases as Collections. Export to LeRobot, Parquet, or your training pipeline in one click.
  • 03
    Prove the fix before you ship
    Run regression suites against the whole fleet's history on every PR. Merge with the numbers attached, not a hunch.
Improve reference →
Industries

Robots fail differently. Roboto finds the failures anyway.

The failure modes are different. The work of catching them is the same.

Drones

A single failure can ground a fleet.

From first-responder drones to industrial inspection to delivery fleets, Roboto analyzes every flight so teams catch failures before they become recalls.

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Roboto for drones →

We can preemptively find complex hardware and software issues across our fleet before they become a problem for our customers. Automated analysis has enabled us to scale faster and deliver best-in-class reliability.

Jon Hoff
Autonomy Engineer, BRINC
99.5%
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Medical devices & surgical robotics

One failure is too many.

Surgical and medical devices can't afford statistical reliability. Roboto analyzes every log so your team catches issues in R&D and qualifies every device before it reaches a patient.

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Roboto for medical →
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Autonomous vehicles

Every drive, analyzed.

Roboto surfaces the edge cases hiding in your data and helps your team iterate on autonomy without drowning in logs.

  • Multimodal at scale. LiDAR, camera, radar, map, telemetry. One index, one query language.
  • Scenario mining. Find the 40 near-misses that look like last week's disengagement.
  • Regression over the whole fleet. Prove the fix against every historical drive, not a sampled subset.
Roboto for AVs →
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Developers

One SDK. Every format. Every log.

Add the Roboto SDK to your project and start reading ROS, PX4, MCAP, and Parquet files with one unified Python API. Query topics as pandas DataFrames, prototype in a notebook, and deploy the same code as an Action that runs on every new log.

pip install roboto

Python 3.10+ · Works with Jupyter, pandas, and your existing scripts.

Read the docs →
  • 01
    Every robotics format, one call
    ROS bags, ULogs, MCAP, Parquet, JSON, CSV, and custom formats. All return pandas DataFrames through the same API.
  • 02
    Query across your entire fleet
    RoboQL and Signal Search filter by metadata, topic statistics, or waveform patterns.
  • 03
    Every log is training data
    Slice episodes, curate Events, export in LeRobot. Production data becomes the next model's fuel.
  • 04
    From notebook to production
    Same Python runs locally, in CI, or automatically on every new upload.
quickstart.py
python · roboto-sdk
from roboto import Dataset

ds = Dataset.from_id("ds_9ggdi910gntp")
flight = ds.get_file_by_path("flight_042.ulg")

# Works the same for ROS bags, ULogs, MCAP, and Parquet
mag = flight.get_topic("sensor_mag")
df = mag.get_data_as_df(["x", "y", "z"])

df.plot()
from roboto import query

# Find every drone flight with high mag variance in the last 30 days
results = query.signals(
    topic="sensor_mag",
    metric="variance",
    threshold="p95",
    since="30d",
)

for log in results:
    print(log.id, log.fleet, log.metadata["vehicle"])
from roboto import Action, Trigger

@Action.register(name="mag_health_check")
def mag_health_check(file):
    mag = file.get_topic("sensor_mag")
    df = mag.get_data_as_df(["x","y","z"])
    return df.std().max() < 0.8

# Run automatically on every new upload
Trigger.on_upload(action="mag_health_check")
Content

How teams ship reliability with Roboto.

How robotics teams are using Roboto in production, and what we're learning along the way.

image · brinc drone / visualizer
Case study · BRINC · Drones

How BRINC averted a full-fleet drone recall with Roboto

When a critical issue threatened BRINC's entire fleet, Roboto helped narrow the impact to 0.5% of drones. 99.5% stayed in service.

Read the case study →
image · telos / medical
Case study · Telos Health · Medical robotics

How Telos Health accelerates medical device R&D with Roboto

Telos brings video and time-series data together in Roboto to diagnose device issues faster. From a single procedure to aggregated fleet metrics.

Read the case study →
image · engineering · triage agent
Engineering · AI agents

Building the Triage Agent: how Roboto automates root cause across a fleet

How Roboto's AI agents combine deterministic health checks with LLM-powered analysis to surface the issues that matter across thousands of logs.

Read the post →
Enterprise

Built for the teams that can't compromise.

Everything your security team needs to say yes.

01

Your data, your storage

BYO-bucket. Connect your existing S3.

02

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Build reliable robots,
not data infrastructure.

Every log analyzed. Every failure surfaced. Starting with your next upload.

FAQ

Common questions about Roboto.

What is Roboto? [ − ]

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How is Roboto different from a log visualizer? [ + ]

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How does Roboto work? [ + ]

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What file formats does Roboto support? [ + ]

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Where is my data stored? [ + ]

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