Cloud waste isn’t about visibility,
it’s about timing, says Atmoz CEO

Yael for Website May 2026

Yael Shatzky didn’t set out to build a company around cloud costs. What she noticed, after more than 25 years across enterprise technology, product marketing, and growth at organizations including Amdocs and Microsoft’s R&D ecosystem, was a pattern.

Not just rising cloud spend, but a deeper structural disconnect in how it’s managed.

If you were introducing yourself and Atmoz to someone outside tech, where would you begin?

I’d say I’m building a company that changes how people think about waste—specifically cloud and AI waste.

Imagine a house where electricity prices constantly change depending on what you use and when, but no one knows the cost. Lights stay on, AC runs all day, and while you know you’re wasting about 30%, you have no way to prevent it. The only signal you get is last month’s bill.

That’s how companies operate in the cloud today.

Atmoz changes that by bringing cost awareness into the moment decisions are made, helping teams make smarter choices without disrupting how they work. The result is simple: waste is prevented before it happens.

What is the core problem Atmoz is solving—and where has the market gone wrong?

The market has focused on visibility, dashboards and reports that explain what already happened.

But the problem isn’t visibility.
It’s timing.

By the time companies see the data, the money is already spent and systems are already in production. Even with perfect visibility, nothing changes.

Atmoz works at the moment engineers are building, engaging them with immediate, simple recommendations that don’t slow them down. That’s where prevention becomes possible.

Read on

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Frequently Asked Questions

Atmoz is a real-time AI and cloud efficiency platform for engineering teams. It detects inefficient cloud infrastructure and AI usage, attributes each issue to the appropriate owner, and enables correction directly in Slack, Microsoft Teams, or the developer’s IDE.
Real-time cloud cost optimization identifies and corrects inefficient cloud decisions while resources are being provisioned or used, rather than waiting for billing data and retrospective analysis.
AI cost management is the practice of measuring, allocating, forecasting, governing, and optimizing spending across AI models, APIs, agents, applications, development tools, and infrastructure.
Token optimization reduces unnecessary input, output, context, and reasoning-token consumption while maintaining the quality required for the task. It may include context reduction, caching, model right-sizing, better routing, and prevention of unintended agent activity.
FinOps manages the business value of technology spending, historically with an emphasis on public-cloud infrastructure. FinOps for AI extends these practices to models, tokens, API calls, agents, AI applications, development tools, and AI infrastructure.
Atmoz does not eliminate financial planning, allocation, procurement, or business-value management. It reduces the manual work involved in detecting inefficiencies, finding owners, communicating recommendations, and following up on technical remediation.
Finius is the Atmoz AI genius. It proactively delivers contextual AI and cloud efficiency recommendations to the appropriate engineer and enables action inside existing engineering workflows.
Tokenomix is Atmoz’s AI cost-control module. It monitors AI usage across tools and providers, allocates spending by owner and project, predicts usage against budgets and limits, and provides optimization recommendations directly within developer workflows.

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