Comparison

Alloy vs Foxglove

Turn field questions into answers your team can use.

A robot stops at a customer site. Someone needs to find out why, explain it to the customer, and check whether other robots are affected. Alloy helps your team finish that job with a shared investigation and checks that keep running.

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Advanced NavigationFrom a day of analysis to ten minutes

Alloy

Alloy combines robot data with AI investigation and reporting. Ask about one mission or compare many, create a report with supporting evidence, and set up Scenarios or scheduled reports for questions that recur.

Best for

Choose Alloy when your priority is getting from a field question to a reusable answer that support, validation, and engineering can work from.

Foxglove

Foxglove brings data collection, fleet-wide search, synchronized visualization, and dataset curation into a robotics development platform. Its built-in AI agent, currently in beta, and MCP tools also help engineers inspect data, write scripts, and configure their workspace.

Best for

Choose Foxglove when your priority is a customizable environment for live debugging, detailed visual inspection, and organizing recordings across your fleet.

Alloy and Foxglove at a glance

Both platforms help teams investigate robot behavior. Compare what it takes to turn that investigation into an answer a colleague can use and a check the team can repeat.

Your team’s jobAlloyFoxglove
Investigate a field issueMission analysis and reports with supporting data.Synchronized visual debugging, comparison mode, and AI-assisted data inspection.
Repeat the analysisScenarios across past and future missions; scheduled reports.Reusable layouts and queries; API and webhook automation.
Share a usable answerReports with narrative findings, metrics, plots, and sources.Shared layouts, recording links, events, and annotations.
Keep data accessibleExisting data connections; Mesh with Parquet, Iceberg, Python SDK, and MCP.Open MCAP, APIs, export, MCP, and flexible storage deployment.
Build curation workflowsMission search and Scenarios to identify relevant patterns.Structured and semantic search, events, and recording curation.

Take the customer question through to a report

Finding the failure is one part of the job. Support still needs an explanation, and engineering needs to see the runs and signals behind it.

Alloy turns the investigation into custom reports with findings, interactive charts, and links to supporting missions. A teammate can explore the evidence and ask a follow-up in Alloy or Slack. Sharing the result is part of the workflow, without a separate export or dashboard build.

The data stays available when someone challenges a finding. With Mesh Storage, analysis runs against the recordings in the cloud. Inspect the relevant signals and dig deeper without moving large logs between local tools for each question.

Ask Alloy
Compare the affected runs with successful missions. Create a report showing the differences and the evidence behind them.

Turn a recurring question into a recurring check

Once you know which behavior matters, you should be able to look for it beyond the incident that first exposed it.

Define a Scenario to check past missions and new uploads for the same pattern. Schedule reports to compare performance across releases or over time. The next review starts with fresh evidence, without someone remembering to rerun the analysis.

Keep what the team learned. Alloy remembers reusable engineering context across conversations, building a shared knowledge base alongside your reports. Teammates can inspect and correct that context, then use it to pick up the next investigation.

Foxglove supports automation through APIs and webhooks. Alloy brings the recurring check and the finished report into the investigation itself.

Ask Alloy
Track missions with repeated docking attempts, and create a weekly report comparing the results by firmware version.

Run the investigation where the team asks for help

With Alloy, the Slack thread can carry the investigation from the first question to the supporting signals, charts, and report. Configured help-desk routes can start the analysis automatically on an assignment or escalation. Support can gather evidence before asking an engineer to take over.

Foxglove also has a Slack agent. It finds and summarizes records with source citations; inspecting the topics and messages inside a recording happens through its in-app agent. Alloy brings that deeper mission-analysis workflow into Slack.

When engineering does need to step in, it gets the investigation so far: the question, the explanation, and the evidence to examine next.

When to choose Alloy or Foxglove

Choose Alloy when

  • You need mission findings and customer or validation reports that colleagues can inspect and reuse.
  • Your team repeatedly checks the same behavior across historical runs and new uploads.
  • You want support to investigate mission data from Slack before asking an engineer to take over.

Choose Foxglove when

  • Your daily work depends on synchronized 3D, camera, map, and signal views, custom panels, or live robot debugging.
  • You need to search, annotate, and curate recordings within a shared visual development environment.
  • Foxglove’s data platform, deployment options, and agent tools already complete the workflows your team needs.

Use both when

Keep Foxglove for detailed visual debugging and use Alloy for recurring analysis, report production, and support investigations. Start by making the relevant recordings available to Alloy and testing one complete workflow. Keep both where the time saved justifies the additional platform.

What teams have achieved with Alloy

Advanced Navigation

From a day of analysis to ten minutes

Field-test analysis and reporting fell from roughly a full day to about ten minutes. Weekly testing capacity increased from two tests to ten, and data-supported customer answers moved from one or two days to the same day.

Read the Advanced Navigation story

Puralink

From two data specialists to eight teammates

Puralink previously transferred recordings manually and inspected them locally in RViz or Foxglove. With Alloy, it automated its base-station uploads and opened mission data to more teammates. Within eight weeks, eight of eleven teammates had used the platform, up from two people who could work with the data.

Read the Puralink story

Questions teams ask before choosing Alloy

Does Foxglove already have AI?

Yes. Its agent sidebar, currently labeled beta, answers questions about recordings and can build layouts, write scripts, and tag events. Foxglove also supports external agents through MCP. Alloy’s buying case is the combination of mission reports, recurring Scenarios, and investigation from Slack.

Can Foxglove compare runs and search across a fleet?

Yes. Foxglove offers comparison mode, structured queries, and semantic search. Alloy also analyzes multiple missions and produces cross-mission reports. Choose based on the result you need and how much work remains to share it or repeat it.

Does Alloy replace Foxglove’s visualization tools?

Alloy includes replay, plots, maps, and mission reports. Keep Foxglove when you depend on its specialized visual debugging, live connections, or custom layouts. Evaluate Alloy for the analysis and reporting work around those sessions.

What happens to our existing recordings and tools?

Alloy connects to existing sources or provides Mesh Storage, with Parquet and Apache Iceberg access for your analytical tools. Alloy Edge automates recorder uploads and exposes upload status and recorder configuration. The Python SDK lets internal tools query data or retrieve recordings for training and evaluation. Foxglove also supports open MCAP files, APIs, export, and customer-owned storage options.

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

Alloy manages model routing and provider failover, with effort levels to balance analysis depth and cost. It evaluates model upgrades and maintains the analysis tools around them, so your team can focus on the robot problems it needs to solve.

How should we evaluate Alloy alongside Foxglove?

Bring a recent incident and the report your team needed. Compare time to a supported answer and whether another teammate can continue the work. If you use both platforms, include data access, transfer steps, and total operating cost.

Bring the question your engineers keep getting asked

Choose a recurring customer issue or validation request. See Alloy investigate the relevant missions, create a report your team can review, and set up the next analysis.