Enterprise AI Adoption and Debugging: A New Funding Wave
Enterprise AI adoption and AI debugging tools describe the combined effort to help organisations move from AI experimentation to production, while keeping complex software reliable through automated, data-driven analysis of how systems behave in real time. The latest enterprise software funding news highlights this dual focus. Mendo and Undo, two specialist AI implementation platforms, have secured new capital to reduce friction from first deployment through day‑to‑day operations. Mendo concentrates on helping organisations integrate generative and agentic AI into real workflows and driving sustained usage among employees. Undo, by contrast, focuses on AI debugging tools that give engineering teams and AI coding agents detailed runtime context over complex codebases. Together, their funding rounds show how investors are backing both sides of the AI implementation problem: getting AI used at scale and keeping AI-driven systems stable when something breaks.
Mendo’s €12M Bet on People‑Centric Enterprise AI Adoption
Mendo has raised €12 million in Series A funding to expand its platform that supports enterprise AI adoption across organisations. The company acts as a bridge between generative and agentic AI tools and the employees expected to use them, helping clients move beyond pilots toward measurable business outcomes. Its platform identifies practical AI use cases, tracks adoption, and supports teams as processes change. Mendo plans to strengthen analytics so organisations can find high‑impact AI opportunities and measure how widely tools are used, with early results showing adoption rates up to six times higher than traditional approaches. It also intends to double its workforce from 50 to 100 employees across product, engineering, and sales, and to expand across key European markets. The goal is to turn AI investments into sustained, everyday usage rather than isolated experiments.
Undo’s $37M Growth Round to Advance Time‑Travel Debugging
Undo has closed a USD 37 million (approx. RM174.6 million) growth investment led by Elsewhere Partners to build out its AI debugging tools and time‑travel style runtime recordings. The company focuses on runtime context technology that helps engineering teams and AI coding agents perform automated root‑cause analysis across complex codebases. By capturing deterministic recordings of how code behaves at runtime, Undo gives AI agents evidence of what actually happened inside systems instead of limiting them to static code analysis. According to Undo, AI agents solve 38% of complex bugs with static code alone, but that figure rises to 92% when they have access to runtime context. The company also reports that automated root‑cause analysis can make mean time to resolution 100 times faster. The funding will support deeper product integrations, customer success, and go‑to‑market expansion.
Different Problems, Same Goal: Reducing Friction in AI Implementation
While Mendo and Undo work on different layers of the AI stack, both funding rounds point to the same priority: reduce friction in AI implementation platforms so enterprises can trust and scale them. Mendo targets the human and process side of enterprise AI adoption, helping organisations decide where agentic AI should be deployed and how to bring employees along. Undo focuses on operational reliability, giving AI coding agents and engineers the runtime context they need to debug complex systems quickly. Mendo’s growth plans emphasise analytics and organisational change, while Undo’s roadmap centres on embedding its platform deeply into agentic engineering workflows. Together, their capital raises show investors backing solutions that address both adoption barriers and operational risk, reflecting rising market demand for tools that turn AI from isolated experiments into dependable, daily infrastructure.
