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Adaptive6 CEO Aviv Revach and Ticketmaster Senior Architect Jeff Hyatt discuss cloud cost governance and AI-driven waste reme

Editorial illustration for Adaptive6 launches from stealth, cuts enterprise cloud waste, aids Ticketmaster

Adaptive6 Cuts Enterprise Cloud Waste with AI Insights

Adaptive6 launches from stealth, cuts enterprise cloud waste, aids Ticketmaster

Updated: 4 min read

The cloud cost management industry has a dirty little secret: most tools are just expensive calculators. They tally bills, forecast trends, and nudge budgets, but they never actually fix the leak. That’s the gap Adaptive6 is stepping into, fresh out of stealth, with a mission that sounds deceptively simple: hunt down the waste that everyone knows exists but no one can find.

Co-founder Revach puts it bluntly: the first generation of tools focus on finance, not fault. They show you numbers rising and falling. They don’t show you who pressed the wrong button.

That’s where “shadow waste” comes in. Not idle servers. Not oversized instances.

Hidden inefficiencies buried in architecture, buried in code. Adaptive6’s Cloud Cost Governance and Optimization platform doesn’t just scan your cloud environment, it traces each wasteful resource back to the exact line of code and the engineer who wrote it. No agents, just API access.

Then it serves that developer a fix straight into their Slack or Jira. No meetings, no blame, just a path to unburned cash. And it’s already working.

Ticketmaster, one of the most volume-sensitive enterprises on the planet, is using Adaptive6 to tame its cloud sprawl. In an era of ballooning AI workloads and multi-cloud chaos, that’s the kind of proof that makes a stealth launch worth the wait.

"The first generation of tools are sort of trying to help on the financial side of the cloud," Revach told VentureBeat. "They typically deal with the financial aspects of cloud cost... showing you costs going up, costs going down, forecasting, budgeting.

But what they don't really focus on is one of the biggest problems, which is the waste problem." According to Revach, the disconnect lies in ownership. "Just like you have the CISO in cybersecurity trying to get everybody to be thinking about security, you now have the FinOps person trying to get everybody to be thinking about cloud cost." Technology: hunting "shadow waste" The core of Adaptive6's offering is its "Cloud Cost Governance and Optimization" (CCGO) platform. It doesn't just look for idle servers; it hunts for what the company calls Shadow Waste--hidden inefficiencies in architecture and application workloads that traditional cost tools often miss.

The system operates without agents, using standard cloud APIs to gain read-only access to environments. Revach explained to VentureBeat that the platform scans across AWS, GCP, and Azure, as well as PaaS layers like Databricks and Snowflake, and even deep into Kubernetes clusters. "We have unique technology that basically allows us to match each resource in the cloud [where] we found a problem to the relevant line of code that actually created that problem," Revach explained.

This "Cloud to Code" technology allows the system to identify the specific engineer who made the change and serve them a fix directly in their workflow (Jira, Slack, or ServiceNow). Beyond basic resource sizing, the platform analyzes complex configurations, including those for emerging AI workloads.

The cloud cost conversation has been stuck on budgets and forecasts, numbers that measure the symptom, not the disease. Adaptive6 changes the premise. Instead of asking where the money went, it asks who planted the inefficiency, and then hands them the fix.

That shift from passive reporting to active remediation is what separates this platform from the first wave of tools. It’s not just about visibility. It’s about accountability with a clear path to action.

Ticketmaster, with its sprawling, event-driven infrastructure, is a living proof point: even the most sophisticated operations harbor shadow waste. Adaptive6 doesn’t just shine a light on the shadows. It traces them back to the line of code, the engineer, the moment the waste was born.

For any enterprise drowning in cloud complexity, that’s not a feature. It’s a lifeline.

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