Undo, a root-cause analysis startup, has raised £28 million in funding led by Elsewhere Partners. Based in Cambridge, United Kingdom, Undo will use the investment to accelerate product development and significantly expand its global market reach, including scaling go-to-market teams across the United States and Europe.
AI-generated code is creating a growing operational problem for software engineering teams. Engineers are increasingly working with code they did not write, do not fully understand, and cannot easily debug. Systems become harder to manage, raising the risk of outages, security breaches, and customer escalations. Undo addresses this by giving AI agents the runtime context they need to perform reliable root-cause analysis on complex software issues. Rather than relying solely on what the code says, the platform captures complete execution history - how code actually behaves when running - into self-contained recordings. This allows AI agents to determine what a programme did, not just what it was written to do, resulting in significantly more accurate diagnoses.
Undo's own benchmarks on a range of complex bugs show that the latest AI models identify the root cause in 38% of cases without Undo's runtime context, rising to 92% when that context is provided. In cases where models can resolve a problem without Undo, using the platform also reduces the number of tokens consumed. Customers report completing root-cause analysis 100 times faster with Undo than before.
Rod Favaron will lead the Board of Directors as Executive Chair following the round, with support from Elsewhere Operating Executive Thom Everett and Elsewhere Operating Advisor Damion Heredia.
AI is making code unmanageable - introducing code that engineers cannot understand, trust, or debug. So while AI helps them generate more code, some of it is poorly understood, poorly structured, and of questionable quality. Systems become full of unknowns, making them unstable and increasing the risk of outages, security breaches, and customer escalations. Undo ensures engineering teams can effectively operate complex systems in an AI-first world and provide the essential runtime context for enterprise-grade, AI-assisted software.
Quality is extremely important at Palo Alto Networks, and we cannot afford to rely on guesswork. The hardest - and costliest - bugs in multi-million-line codebases live in runtime state and are not captured by logs or other solutions. Undo provides the visibility needed to catch and correct errors before they become an operational problem for our customers, enabling automatic root-cause analysis. Undo often autonomously finds the root causes in minutes.
We are ahead of the curve. Undo has spent years building deterministic, program recording technology for code failure runtime visibility, which has become absolutely essential with the rise of AI. This investment allows us to accelerate at exactly the right moment - embedding Undo into AI workflows, scaling our commercial reach, and ensuring we are an essential part of how engineering teams operate in this new, AI-first world. We look forward to working alongside the Elsewhere team to ease the next era of software engineering problems for companies around the world.
