Comparison
A purpose-built robotics harness, or a coding harness you extend for robotics.
Robot investigations are a team responsibility. Alloy gives engineering, support, and field teams a shared agent, a readable knowledge base, and analysis that can start automatically when an alert fires. Everyone can inspect the evidence, question the findings, and continue the same investigation. Already using Codex? Connect it to Alloy through MCP to access your robot data and analysis tools.
Last updated
AndromedaBring the investigation into the team’s conversationA purpose-built robot investigation system for engineering and support teams. Alloy brings robotics data tools, shared knowledge, recurring analysis, and integrations into a maintained product, with hands-on implementation support.
Best for
Choose Alloy when investigating robot behavior is an ongoing responsibility across your organization.
OpenAI’s coding agent helps engineers understand codebases, investigate problems, implement changes, and run tests. Equipped with appropriate data and tools, it can also support robot-data analysis.
Best for
Choose Codex when you want a flexible coding agent and your team wants to build and maintain the surrounding investigation workflow.
For many robotics teams, the two work together: Codex helps engineers develop the software, while Alloy provides shared investigation capabilities and ongoing analysis of robot behavior.
As your fleet grows, more issues need investigating. Support needs answers. Field teams need direction. Your most experienced engineers become the people everyone waits for.
Alloy connects your robot data to the work happening around it: first-line investigation in Jira, collaboration with customer success in Slack, and deeper exploration with engineers in the web app. Findings and methods remain available in a shared knowledge base for the next person and investigation.
Our engineers work with yours to connect your systems and get the first investigations running. We maintain the robotics tools, model choices, and failovers, and keep improving the system as models advance.
A model’s capabilities depend on the system around it: the data it can reach, the tools it can use, the context it receives, and how it checks its work. That system is the agent harness.
Alloy gives the agent tools to query robot data, context from past investigations, and proven checks it can reuse. When those checks don’t explain a failure, it can investigate further.
We test how well Alloy finds relevant data, investigates faults, creates charts, and produces recurring reports. We examine the answers and the steps taken to reach them, then use the results to improve accuracy, reduce delays, and avoid unnecessary model calls.
Routine checks reuse proven steps; unfamiliar problems can require further queries and analysis. Alloy manages which models run the work and which backup providers to try if a provider fails.
An investigation system engineered for your robots, and maintained for your whole team.
A robot issue can span hardware, firmware, software, and operating conditions. Answering it often means finding the right recording, querying several signals, checking previous incidents, and knowing which engineer to ask.
Alloy brings robotics data tools and engineering context into a shared agent. It can query recorded missions, generate charts and reports, and link findings back to supporting evidence.
The data and analysis live together in the cloud. Engineers can drill into a finding without repeatedly downloading and preparing large recordings.
Support, field, and engineering teams can inspect, question, and continue the same investigation. When an issue needs deeper engineering judgment, the next person has the findings and supporting evidence available.
Your specialists can spend more time resolving difficult problems and less time repeating the preliminary work.
A field issue rarely starts with someone opening an analytics platform. It starts in a conversation or a ticket.
Alloy adapts to the role your team needs. In Jira, it acts as a first-line support investigator. In Slack, it works with customer success as colleagues add context and ask follow-up questions. In the web app, it is an engineer’s thinking partner for deeper exploration, with user-level preferences.
The shared knowledge base keeps the team’s findings, robot context, and investigation methods readable and available to colleagues and future investigations. Reports preserve supporting evidence; recurring checks retain the queries, thresholds, and steps used in the analysis.
Improvements to Alloy’s agent also reach the team through its Slack and Jira integrations.
Colleagues can pick up the investigation with the findings and evidence already available.
Some investigations uncover a check worth repeating: a fault signature, a threshold, or a sequence of events that deserves attention on future missions.
Keep the method, as well as the answer. Alloy retains proven queries, thresholds, and investigation steps for recurring checks on new missions or a schedule. Alerts can also invoke an investigation automatically, so the team does not have to notice the signal and start the agent manually.
After a software change, apply those checks to subsequent missions to examine how behavior changes and where problems remain.
The benefit grows with the workload. An established check can cover incoming missions without depending on someone remembering to ask the same question again.
Your team picks up findings instead of starting every investigation from scratch.
The implementation has to fit your robots, your systems, and how your people actually investigate.
Alloy’s forward-deployed engineers work directly with your team to understand that workflow: which data matters, which checks engineers trust, where support gets blocked, and what a useful result looks like.
Together, we connect your data and tools, set up the first investigation workflows, and test and refine them using real issues your team has faced.
Our engineers help your team put those workflows into daily use and work through the issues that arise during implementation.
You have a partner in getting the system working inside your organization.
Use both when your engineers want Codex working on the codebase with access to Alloy’s robot-data tools through MCP, while Alloy supports shared investigations and recurring analysis.
Andromeda
A robot issue can cross hardware, software, and field operations before anyone understands what happened. At Andromeda, Alloy works alongside the team in Slack help-desk threads. It helps investigate the reported issue as colleagues add context, ask follow-up questions, and examine the findings together. Andromeda’s investigations include Wi-Fi faults, audio issues, and hardware signal monitoring. Reports bring the findings and supporting evidence together for the team to review and refer back to. A shared investigator that helps the team move from a reported symptom toward an explanation.
SwarmFarm
SwarmFarm’s support process centers on Jira. Investigating an issue means connecting the ticket’s description with operational data and engineering context. Alloy connects Jira tickets with ClickHouse data to support first-line investigation inside SwarmFarm’s support process. The agent can examine the reported problem and operational evidence, then return findings in tickets and comments. Slack supports collaboration when more people need to weigh in. The support team can ask Alloy to investigate within its existing Jira process. Alloy engineers work with the team to connect the systems and improve how the agent handles those requests. Support can investigate using the ticket and robot data together. Engineers can review the findings when the issue needs their expertise.
Your engineers can build a capable system around Codex, including shared interfaces, integrations, memory, and scheduled work. The decision is who will make that system effective on your robot data and keep it working across your organization. Your team would need to keep data connections working, preserve the evidence behind findings, maintain recurring checks, and test whether model or tool changes improve the results. Alloy takes on that product development and maintenance, with engineers helping get it working in your environment.
They can work together. Codex supports software development and custom engineering tasks. Alloy provides robot-data investigation tools, shared operational workflows, and ongoing mission analysis. Alloy’s MCP integration makes its tools available to compatible agents, including Codex.
Alloy adapts to the work happening in each environment: first-line support investigation in Jira, collaboration with customer success in Slack, and deeper engineering exploration in its web app, with user-level preferences. Your team can discuss an issue where it already works and open the supporting analysis when needed.
Alloy’s shared knowledge base keeps engineering context, findings, and investigation methods readable and reusable. Saved reports preserve supporting evidence. Recurring checks retain the queries, thresholds, and steps behind an investigation. The next person and the next investigation can build on what the team learned and how it reached the answer.
We evaluate models inside the workflows they will perform, considering answer quality, latency, cost, and tool behavior. Routine background work and difficult interactive investigations can have different requirements. As new models become available, we test them on these tasks and update the models Alloy uses based on the results.
Our forward-deployed engineers work with your team to identify an initial workflow, connect the relevant data and systems, and refine the investigation against real examples. We agree on which systems to connect, which investigations to support first, and how to judge whether they are working.
Start with a recurring issue and establish how it is handled today. Useful measures include engineering time spent gathering evidence, time to a useful diagnosis, handoffs between teams, and coverage of incoming missions. The evaluation should show what changes in the actual workflow.
Walk us through how your team handles it today. We’ll show how Alloy can connect the evidence, support the investigation, and turn repeatable work into ongoing checks.