Undo Ltd., a U.K.-based software debugging startup, has raised $37 million in funding to expand globally and integrate its unique runtime recording technology into AI-assisted coding workflows, enabling more precise identification of software bugs.
- Undo captures full runtime execution history to reveal code behavior.
- AI bug-fixing accuracy improves from 38% to 92% with Undo's data.
- Funding will accelerate expansion and product integration in US and Europe.
What happened
Undo Ltd., a software debugging company based in the United Kingdom, announced a $37 million funding round aimed at expanding its international presence and enhancing its debugging technology for AI-assisted code development environments. The company’s technology records the entire execution history of running programs into a single file, capturing dynamic runtime behavior that traditional debugging tools miss.
This approach allows AI agents to access detailed contextual information about how software operates during runtime, which is critical as engineering teams deploy larger volumes of AI-generated code that are difficult to fully understand. The funding round was led by Elsewhere Partners, an Austin-based private equity firm specializing in growth-stage software companies.
Why it matters
AI coding assistants currently struggle to diagnose bugs reliably because they often lack visibility into how software behaves at runtime. Undo’s proprietary recordings provide this essential runtime context, enabling AI models to correctly identify root causes of complex bugs at a significantly higher rate—from 38% accuracy to 92% when runtime data is available, according to company benchmarks.
This breakthrough not only improves bug detection accuracy but also reduces computational token usage and accelerates troubleshooting, with customers reporting root-cause analyses up to 100 times faster. Industry users like Palo Alto Networks highlight that Undo’s technology exposes costly runtime errors invisible to traditional logs, preventing operational disruptions.
What to watch next
Undo plans to use the new capital to grow its product, support, and sales teams in the United States and Europe, targeting sectors such as networking, databases, semiconductors, and financial services that rely heavily on reliable software debugging. Integration of Undo’s runtime recording technology into AI-driven developer tools will be a key focus to embed it into modern software engineering workflows.
As AI-driven code generation continues to accelerate software development, Undo’s ability to provide deterministic insights into program execution will be increasingly critical. Observers should track how quickly the startup expands its market footprint and how its technology influences the effectiveness and adoption of AI-assisted debugging solutions across global engineering teams.