Comparison

Alloy vs Roboto

Give your engineers room to build.

Your fleet is growing. Your most experienced engineers cannot be the first stop for every customer question. Alloy helps more of your team find what happened, explain it with evidence, and carry that knowledge into the next incident.

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Advanced NavigationMore validation, faster customer answers

Alloy

Alloy brings mission analysis, shared reports, and connected engineering tools into one workflow. Ask questions in plain English, inspect the supporting data, and turn recurring questions into Scenarios that run across past and future missions.

Best for

Choose Alloy when you want support, validation, and engineering to answer more field questions without routing every investigation through the same specialists.

Roboto

Roboto is a robotics analytics platform for multimodal search, automated triage, root-cause investigation, and dataset curation. Its agents investigate failures, connect findings to code, and help teams find relevant examples for training and evaluation.

Best for

Choose Roboto when your priority is an integrated workflow for automated log analysis, custom processing, and curating robotics datasets.

Alloy and Roboto at a glance

Both platforms can investigate robot data. The decisive question is what happens next: can the person handling the customer use the answer, follow the evidence, and handle the next incident with less help?

Your team’s jobAlloyRoboto
Investigate a field issueMission analysis with connected engineering context and source-linked reports.Multimodal search and agents for triage, root cause, and code-linked findings.
Repeat the analysisScenarios across historical missions and future uploads.Actions, Triggers, and agents for processing and fleet analysis.
Share a usable answerInteractive reports with events, plots, and underlying data.AI investigation findings, visualizations, and custom reports.
Keep data accessibleExisting data connections; Mesh Storage with Parquet, Iceberg, Python SDK, and MCP.Upload datasets or connect your storage bucket; SDK and CLI access.
Build curation workflowsMission comparisons and Scenarios organized around engineering questions.Events and Collections for training and evaluation datasets.

Give the first question to the person closest to the customer

A customer reports that a robot stopped. Before engineering can act, someone needs to identify the run, understand the conditions, and assemble the evidence. That preparation often lands on the person who knows where everything lives.

With Alloy, support can start with a question in Slack, find the relevant mission, and share an interactive report. Engineering can open the same evidence and continue the investigation. Nobody has to assemble a second chart pack to explain what the first person found.

At Advanced Navigation, product managers and leadership can query historical validation data directly, while interactive reports let colleagues explore the results. The test team no longer has to mediate every request.

Ask Alloy
Find the mission behind this customer report. Show what happened before the stop and include the evidence engineering needs.

Make the next investigation start with the last one

A solved incident should leave the team better equipped for the next one. Save the explanation and its evidence in a report, then use a Scenario to check for the same behavior in other missions.

Alloy also remembers reusable engineering context across conversations. That shared knowledge base is open to inspection and correction by your team. A new teammate can understand the earlier finding and its supporting evidence before starting again.

Let the next investigation begin automatically. New missions, scheduled checks, and configured Slack support triggers can start the analysis. Support receives evidence it can work through before pulling an engineer away from development.

Ask Alloy
Find missions with repeated docking attempts, compare the firmware versions, and produce a report showing the affected runs.

Keep your robot data useful beyond one interface

A customer answer is often the start of more engineering work. The team may need to compare a release, assemble training examples, or bring the evidence into a coding agent. Alloy keeps that data available beyond the report.

Mesh Storage keeps recordings queryable in the cloud, so engineers can follow a finding into the underlying signals without downloading and uploading large files. Use the Python SDK to bring that data into training or evaluation pipelines, or an MCP-compatible assistant to investigate alongside your code.

The work starts before the first question. Alloy Edge automates recorder uploads and flags transfer failures. At Puralink, that replaced a manual base-station handoff and helped put mission data within reach of more of the team.

When to choose Alloy or Roboto

Choose Alloy when

  • Customer questions keep pulling your most experienced engineers away from development.
  • Support and validation need inspectable answers and reports they can share with engineering.
  • You want reusable mission analysis alongside your existing data sources and open analytical access.

Choose Roboto when

  • Custom containerized processing with Actions and Triggers is central to your workflow.
  • Finding and curating Events and Collections for model training or evaluation is a primary requirement.
  • Roboto’s combination of automated triage, fleet analytics, and code-linked investigation matches how your team works.

What teams have achieved with Alloy

Advanced Navigation

More validation, faster customer answers

Analysis and reporting fell from roughly a full day per field test to about ten minutes. Weekly testing capacity grew from two tests to ten, and data-supported customer responses moved from one or two days to the same day.

Read the Advanced Navigation story

Puralink

Robot data in the hands of the team

Automated uploads replaced a manual data-transfer workflow that had consumed six to eight hours a week across two engineers. Within eight weeks, platform use expanded from two people able to work with mission data to eight of an eleven-person team.

Read the Puralink story

Questions teams ask before choosing Alloy

Why consider Alloy if we already use Roboto?

Look at the work that still falls to your engineers after the initial analysis: collecting context, preparing a report, answering a follow-up, or explaining a recurring issue. Alloy is worth evaluating when you want more teammates to handle those steps through shared mission data and reusable analysis.

Can support use Alloy without writing SQL?

Yes. Teammates can ask questions in plain English and inspect the supporting data. At Puralink, team members used an Alloy connection from Notion, and an intern independently resolved a field issue. Engineers remain involved where specialist judgment is needed.

Can both platforms automate analysis?

Yes. Alloy’s Scenarios apply a defined analysis across past and future missions. Configured Slack help-desk triggers can also invoke its agent on assignments or escalations. Roboto supports Actions, Triggers, and agents for automated processing and investigation. Compare the evidence each returns and the work your team still needs to do before acting.

Do we need to move all our data into Alloy?

No. Connect existing sources such as S3 and ClickHouse, or use managed Mesh Storage. Mesh exposes data as Parquet through an Apache Iceberg catalog for tools such as DuckDB, Spark, and Trino. Alloy Edge also exposes device upload status and recorder configuration, so your team can see and manage how recordings reach the platform.

More questions (2)
Who keeps Alloy’s AI up to date?

Alloy manages model routing and provider failover, with effort levels to balance investigation depth and cost. It evaluates model upgrades and maintains the tools around them. Your team gets an ongoing analysis service as the models improve.

How should we compare Alloy and Roboto in a pilot?

Use the same incident and measure time to a supported answer, senior-engineer involvement, and whether a second teammate can continue the work. Include the customer response and the effort to repeat the analysis. Compare the complete workflow your team would be buying.

Bring us one incident that needed your best engineer

Choose a recent field issue or customer question. Walk through it with Alloy, from the first question to an evidence-backed report, and see what your team could handle before escalating.