Entity
Undo Ltd. – AI-Era Debugging Platform ($37M, 2026)
UK-based Undo Ltd. raised $37 million in June 2026 to expand its time-travel debugging platform into AI-assisted software development workflows, targeting the growing challenge of debugging autonomously generated code. Founded in 2005, the company records full program execution histories to enable replay-based debugging. The raise validates developer tooling for AI-era code quality as a distinct investment category.
Importance: 65%Confidence: 88%Mentions: 1Updated: June 20, 2026
## Undo Ltd. – AI-Era Debugging Platform ($37M, 2026)
### Overview
Undo Ltd. is a U.K.-based software debugging startup founded in 2005 that raised $37 million in new funding in June 2026 to expand internationally and push its time-travel debugging technology into AI-assisted software development workflows (SiliconAngle, June 15, 2026).
### Core Technology
Undo's platform records the **full execution history** of a running program and saves it, allowing engineers to replay and inspect any prior program state — commonly called "time-travel" or "reversible" debugging. This approach is distinct from conventional debuggers that only inspect current state.
### AI Coding Relevance
The $37M raise is explicitly tied to the challenge of debugging **AI-generated code** (SiliconAngle, June 15, 2026). As engineers increasingly rely on LLM coding assistants (GitHub Copilot, Claude Code, OpenAI Codex), the volume and opacity of auto-generated code creates new debugging burdens. Undo's thesis is that runtime execution history is essential context for AI agents attempting autonomous bug repair.
### Use of Proceeds
- International expansion
- Integration with tools engineers use to fix AI-generated code
- Development of interfaces for AI agent-driven debugging workflows
### Market Context
Undo operates in a nascent but growing category sometimes called **AI-assisted debugging** or **observability for agentic code**. Competitors include traditional APM vendors (Datadog, Dynatrace) expanding into code-level observability, and newer entrants focused on AI code quality.
### Relevance
- **Attorneys**: Software liability for AI-generated code bugs is an emerging area; tools like Undo's may become part of the evidentiary and audit trail for code defect litigation.
- **Entrepreneurs**: The funding round validates developer tooling for the AI coding era as an investable category distinct from AI models themselves.
### Connections
- OpenAI Codex (agentic coding)
- Claude Code (Anthropic)
- AI-Generated Code Ownership – Copyright & Liability Framework (existing wiki)