Yasu lands €850K to build the world’s first AI cloud engineer

By integrating agentic intelligence into developer workflows, Yasu enables organisations to improve performance, eliminate unnecessary costs, and lower environmental impact.
Yasu lands €850K to build the world’s first AI cloud engineer

Dutch-based Yasu, an AI startup building autonomous agents to prevent cloud waste, has raised €850,000 in pre-seed funding. The round was led by Akka, with participation from Empower Impact and earlier investment from Antler.

Founded in 2025, Yasu is developing an AI Cloud Engineer designed to bring cloud cost visibility into the development process and prevent waste before it occurs.

This addresses a major challenge in the €1.6 trillion global cloud infrastructure market, where an estimated €512 billion is lost annually due to misconfiguration, inefficiency and complexity. The issue has grown with the rise of generative AI workloads, which have led to average cloud spending increases of 30 percent, and 72 per cent of IT and finance leaders now describing GenAI-related costs as unmanageable.

Since launching in April 2025, Yasu has delivered average cost savings of 35 per cent for its customers and is managing €3.9 million in cloud spend across companies, including alpha.One, TRaiCE and Smiler.

Commenting on the problem, Vikram Das Ambar, Co-founder and CEO of Yasu, explains that he saw companies value the flexibility of the cloud while suspecting they were overspending, a concern now supported by data showing that nearly one-third of all cloud spending is wasted.

Current tools only detect problems after deployment, when fixes are ten times more expensive. Yasu shifts cost visibility into development, where our AI agents prevent waste before it happens. We are building an AI cloud engineer for every team, not just another monitoring platform. This funding accelerates that vision across Europe.

The new investment will be used to expand Yasu’s go-to-market across key European markets, advance its agentic AI capabilities and further develop its autonomous optimisation platform.

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