Undo Raises $37M in Growth-Stage Funding Led by Elsewhere Partners

Why It Matters

By providing deterministic runtime context, Undo dramatically improves AI‑driven bug detection, reducing downtime and development costs for enterprises adopting code‑generation tools. The new capital fuels global go‑to‑market efforts, positioning Undo as a critical infrastructure layer in the emerging AI‑assisted software development stack.

Key Takeaways

• Undo raised $37M to expand globally and embed in AI workflows.
• Runtime recordings boost AI bug detection from 38% to 92% accuracy.
• Customers report root‑cause analysis up to 100× faster with Undo.
• Funding targets hiring product, support, and sales teams in US and Europe.
• Palo Alto Networks uses Undo to catch runtime bugs missed by logs.

Pulse Analysis

The rise of AI coding assistants has accelerated software delivery, but it also amplifies the debugging burden. Traditional tools focus on static code inspection, leaving a blind spot for the dynamic state a program assumes at runtime. Undo’s deterministic recording captures every instruction, memory write, and system call, creating a single replay file that AI agents can ingest. This granular visibility enables models to move beyond speculative guesses, grounding their analysis in concrete execution traces and dramatically improving diagnostic precision.

Undo’s internal benchmarks illustrate the power of this approach: generic large‑language models pinpointed bug origins in just 38% of cases, yet when paired with Undo’s recordings, success surged to 92%. The enriched context also slashes token consumption for models that already solve simpler issues, translating to lower inference costs. Real‑world adopters like Palo Alto Networks confirm the technology’s impact, citing root‑cause identification in minutes and speedups of up to 100‑times compared with conventional log‑based methods. Such efficiency gains directly reduce incident response expenses and protect revenue streams vulnerable to prolonged outages.

The $37 million infusion, led by Austin‑based Elsewhere Partners, signals strong market confidence in runtime‑aware AI debugging. Funds will bolster product development, expand support functions, and grow sales teams across the United States and Europe, accelerating integration with existing CI/CD pipelines and AI‑assisted development environments. As enterprises increasingly embed generative AI into their software lifecycles, platforms that can reliably surface hidden runtime defects will become indispensable, positioning Undo as a foundational layer in the next generation of intelligent engineering tools.

Deal Summary

U.K.-based debugging startup Undo Ltd. announced a $37 million growth‑stage funding round led by Austin‑based private equity firm Elsewhere Partners. The capital will be used to expand internationally and integrate Undo’s runtime recording technology into AI‑driven development tools. The round underscores rising demand for AI‑enhanced debugging solutions.