Businesses waste an estimated €512 billion each year due to inefficiencies, misconfigurations, and increased complexity in cloud infrastructure. To address this challenge, Yasu developed the world’s first AI cloud engineer that provides cost visibility early in the development cycle and prevents waste before it reaches production, where fixes can be 10 times more expensive.
The startup has just completed an €850,000 pre-seed funding round led by Akka and supported by Empower Impact and Antler to expand across European markets and advance its AI-driven cloud optimization technology.
AI cloud engineer to participate in all development team workflows
Yas was founded in 2025 by Vikram Das and John in’t Hout with the goal of creating an AI cloud engineer that becomes part of every development team’s workflow. This frees enterprises from the traps of classic cloud inefficiencies and frees up engineers to spend more time innovating.
Das said TFN“The main problem is that current solutions only address problems once they occur. Instead of focusing on innovation and development, cloud teams spend countless hours looking for idle resources, missized instances, and outdated infrastructure.”
“We created Yasu to be an AI cloud engineer that prevents waste before it happens. Rather than provide another dashboard showing past problems, we built an agent AI system that works proactively. It’s integrated directly into your development workflow, finding problems at 10x the cost of post-deployment,” he added.
The key to Yas’ technology is integrating autonomous AI agents within familiar developer tools like Slack and GitHub. This approach allows teams to identify and fix costly cloud inefficiencies during the creation and testing phase, well before they reach production.
Unlike CloudZero and Flexera, Yasu’s agents continually optimize resources, fine-tune configurations, and reduce cloud consumption without manual intervention. As a result, customer costs are reduced by an average of 35%, while CO₂ emissions are also measurably reduced.
Commenting on the competition, Das said, “Yasu is the only platform that offers both proactive and autonomous optimization. We work like a cloud engineer embedded in your team, understanding your business context, learning from your interactions, and taking steps to prevent waste before it happens.”
What about diversity?
Regarding diversity, Das explained: TFN“As an early-stage startup, we are still a small team, but we have a diverse team with representation across genders and nationalities, including team members from the Netherlands, India, and Spain.”
What’s next?
Yas will use the new funding to accelerate its expansion across Europe and strengthen the autonomous capabilities of its AI platform. The company aims to expand support beyond AWS and Google Cloud to include additional cloud providers such as Azure and Snowflake, while addressing security and compliance concerns to create a comprehensive cloud governance solution.
“Our immediate focus is to expand across Europe and deepen our agential AI capabilities, with cost optimization as a key pillar. By 2027-2028, we will expand our AI Cloud Engineers beyond cost into adjacent areas such as security management, compliance automation, and infrastructure automation. Our goal is to build AI Cloud Engineers who work as experts alongside their teams. Our 2030 Our 2030 vision is ambitious but achievable. Our 2030 vision is ambitious but achievable. We will empower 100,000 AI cloud engineers worldwide, eliminate €1 billion in cloud inefficiencies, and increase the sustainability of our cloud infrastructure.”
