Yasu has stepped into the spotlight with a fresh €850K pre-seed raise to solve a problem that keeps draining company budgets: the world’s growing cloud waste. Businesses lose an estimated €512 billion every single year to misconfigurations, idle resources, and the rising complexity of cloud infrastructure. Instead of treating these issues after they explode, Yasu wants to stop waste at the source by creating the world’s first AI Cloud Engineer.
The company believes that cloud cost visibility should arrive long before deployment. Fixes become ten times more expensive in production, so Yasu built an AI Cloud Engineer that works earlier in the development cycle, right where engineers make decisions that can either save or burn money. That idea helped the startup attract funding from Akka, Empower Impact, and Antler as it prepares to scale across Europe.
Yasu was founded in 2025 by Vikram Das and John in ’t Hout with a simple mission: embed an AI Cloud Engineer inside every development team. They wanted an agent that works in the background, protects budgets, and frees engineers from endless cost-hunting rituals. Das explained that most cloud optimisation tools arrive too late, forcing teams to react to problems that have already inflated bills. As he noted, engineers spend countless hours tracking idle instances and outdated infrastructure instead of building products.
He said the team created Yasu to flip the model. Instead of yet another dashboard summarizing old errors, Yasu’s agent catches issues during development, where fixes cost a fraction of the price. This proactive design is powered by autonomous AI agents that plug directly into familiar tools like Slack and GitHub. This way, teams can spot and fix inefficiencies early, well before they hit production.
The system constantly fine-tunes resources, rightsizes configurations, and reduces cloud consumption without waiting for human intervention. Unlike platforms such as CloudZero or Flexera, Yasu’s agents act continuously and autonomously, driving an average 35% cost reduction for customers while also lowering carbon emissions. Das emphasized that Yasu behaves like a true AI Cloud Engineer sitting inside the team, learning from developers and acting on their business context in real time.
He also highlighted the company’s early commitment to diversity. Despite its size, Yasu already includes team members from the Netherlands, India, and Spain, reinforcing its international outlook.
With its fresh funding, Yasu now plans to grow across Europe and strengthen its agentic AI platform. The team is expanding support beyond AWS and Google Cloud to include Azure and Snowflake, while also moving deeper into areas like security and compliance. The long-term vision stretches further, aiming to build a complete AI-powered cloud governance system that can handle cost, security, compliance, and automation in one place.
Das said the company’s next step is to deepen its AI Cloud Engineer with more autonomous capabilities. By 2027–28, he expects the platform to extend beyond cost optimisation into security management and compliance automation. The ultimate ambition is bold but clear: deploy 100,000 AI Cloud Engineers globally by 2030, remove €1 billion in annual cloud inefficiencies, and help make cloud infrastructure far more sustainable.
