If you’re managing a modern (multi)cloud environment, you know the simple, painful truth: your cloud costs are out of control and you don't actually understand why.

The industry is finally waking up to the fact that reactive cost management (getting alerts after the bill lands in your inbox) is a fundamentally broken approach. Most solutions rely on rule-based alerts and post-hoc analytics, catching the waste after it’s already hurt your bottom line.

At Yasu, we understood this challenge from years of working in global enterprises and scale-ups. The pattern was always the same: Engineers were spending countless hours chasing cost spikes and triple-checking every release instead of innovating and adding customer value.

The Foundation of Autonomous Intelligence

That is why we didn't build just another dashboard. We designed Yasu to be a network of autonomous AI agents powered by our agentic architecture.

These are not simple automation scripts. Our agents are built with:

• Memory and Reasoning: Each agent has short-term and long-term memory, reasoning capabilities, and the ability to act independently. They continuously learn from millions of billing and telemetry events, as well as every interaction a user has with Yasu via the platform, Github, Slack etc.

• Proprietary Accuracy: Our AI leverages custom-trained embedding models and accompanying rerankers, which are trained on millions of cloud billing records, to achieve industry-leading accuracy and speed.

• Real-Time Context: This enables our temporal knowledge graphs to track behavior and perform real-time anomaly detection and pattern recognition.

• Decentralized Orchestration: Instead of centralizing logic, we utilize an agentic orchestration platform, allowing agents to specialize. Some monitors spend, some flag misconfigurations, and others submit pull requests to optimize cloud costs.

We are giving you a system that continuously learns, adapts, and evolves.

The Result:

Yasu is changing the process of cloud optimization. Our Agentic AI works natively with your workflow, catching expensive mistakes before the code is deployed.

The result is a direct boost to your business:

• Immediate savings beyond 30%.

• More time for your DevOps, Infra, and FinOps team to focus on what matters the most, building great products.

It's time to move beyond the reactive dashboard. Autonomous intelligence isn't the future of FinOps; it's here, and it's essential for anyone serious about cutting costs without cutting corners.