RESOLVE PRODUCTIONISSUES IN MINUTES
Critical production incidents are every engineering leader’s worst nightmare. A customer escalation pulls you and your team into daily status calls and firefighting, while the fix stays out of reach.
Undo gives your engineers and their AI agents the runtime context: the full history of what your program actually did as it ran. That’s what powers automated root-cause analysis. Get to a verified root cause fast, so issues get resolved before they escalate, and escalations get closed before the next status call.
Your products run on millions of lines of C, C++ or Java in complex, distributed production environments. When something breaks in production, the pressure is immediate. The path to a root cause rarely is.
Undo captures a deterministic recording of a production failure. This is the complete execution history, including control flow, data flow, and every state change. That recording becomes the runtime context your engineers and their AI agents need to understand exactly what happened.
Capture the failure once
Deployed in production, Undo records the failing execution down to the instruction level. The entire sequence of events that led to the failure is captured in a single, self-contained recording. There’s no need to reproduce the issue again and again to chase each new theory.
Let AI agents investigate the recording
Your coding agent queries the recording through Undo’s MCP server, reasoning about the program’s dynamic behavior the way it already reasons about static code. It can trace causality across components, test hypotheses about the root cause, and pinpoint the source of the failure.
Trust every answer
Because the recording is a deterministic recording of what actually happened, every conclusion the agent reaches is backed by verifiable evidence. Engineers can check the reasoning against the real execution, so you get an answer you can act on, not a plausible-sounding guess. Engineers stay accountable for the final decision; the investigation is what gets dramatically faster.
Resolve once, deploy once
Recordings are portable and self-contained, so a production failure can be analyzed anywhere, away from the customer environment, on any machine. A single, confident fix can then be deployed just once, minimizing customer disruption.
Capture the failure once
Deployed in production, Undo records the failing execution down to the instruction level. The entire sequence of events that led to the failure is captured in a single, self-contained recording. There’s no need to reproduce the issue again and again to chase each new theory.
Let AI agents investigate the recording
Your coding agent queries the recording through Undo’s MCP server, reasoning about the program’s dynamic behavior the way it already reasons about static code. It can trace causality across components, test hypotheses about the root cause, and pinpoint the source of the failure.
Trust every answer
Because the recording is a deterministic recording of what actually happened, every conclusion the agent reaches is backed by verifiable evidence. Engineers can check the reasoning against the real execution, so you get an answer you can act on, not a plausible-sounding guess. Engineers stay accountable for the final decision; the investigation is what gets dramatically faster.
Resolve once, deploy once
Recordings are portable and self-contained, so a production failure can be analyzed anywhere, away from the customer environment, on any machine. A single, confident fix can then be deployed just once, minimizing customer disruption.
Proven on real
production failures
A production bug that would traditionally have taken weeks to resolve was root-caused in minutes. Once they captured the failing run in a recording, an AI agent investigated it and pinpointed the exact root cause within 15 minutes. That’s a 100x faster time to resolution.Read full case study
A customer system crashed on Friday, with an Undo recording on the box. By Monday, the recording had reached the vendor’s support team, who used AI to analyze it. An engineer with little Undo experience built on the AI-generated insights and identified and logged the root cause in the bug tracker by mid-week, start to finish in under a week.
Contain escalations
Solve the unsolvable
Protect the roadmap
Expert-Led Enablement
for Long-Term Impact
Undo provides more than a tool. We partner with our customers to ensure our customers achieve their objectives. Our three-tier Customer Success program is designed to deliver time-to-value within weeks, lasting engineering impact, and expert guidance at every stage.
FAST, CONFIDENT ONBOARDING
Seamless Integration
CI Pipeline Enablement
SKILLS THAT STICK
Hands-On Product Training
Advanced Debugging Workshops
LONG-TERM PARTNERSHIP