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The generative AI era is speeding up everything for most businesses we talk to, especially development cycles (thanks to "vibe coding" and "agent influx").
But even if they seek to use the power of new AI-assisted programming tools and coding agents like Claude Code to generate code, businesses must fight a looming concern – no, not safety (although it is another!): cloud spending.
According to Gartnerpublic cloud spending will increase 21.3% by 2026 and even more, according to Flexera’s final State of the Cloud reportup to 32% of enterprise cloud spending is actually wasted resources – duplicate code, non-functional code, outdated code, unnecessary scaffolding, inefficient processes, and more.
Now, a new company, Adaptable6 comes out of hiding to reduce this cloud waste in realtime — automatically. The company, too announced $44 million in total funding including a $28 million Series A led by US Venture Partners (USVP), aims to treat cloud waste not as a financial difference, but as a code vulnerability that needs to be found and patched.
Co-founded by CEO Aviv Revachan experienced founder, former Head of Strategy at Taboola, and former security research team leader for the Israeli Military Intelligence Unit 8200, the idea behind the venture comes directly from his experience working in cybersecurity.
“We realized that this was not a financial problem; it was an engineering problem," Revach told VentureBeat in an exclusive video call interview conducted recently. "We take our background in cybersecurity, where vulnerabilities are found, you scan the cloud, identify the issues, map them back to the relevant code, find the responsible developer or engineer, and fix—or, in some cases, move to the left and prevent them completely… it’s clear that this is exactly what we need to do. “
The Adaptive6 platform introduces a radical change in how businesses manage infrastructure: instead of asking finance teams to find deficiencies they cannot solve, it empowers engineers to solve waste directly in their workflow.
By applying cybersecurity rigor—scanning, tracking, and remediation—Adaptive6 automates the cleanup of "Shadow Waste" in complex multi-cloud environments.
The transition: from billing to engineering
For years, the industry standard for managing cloud costs "visibility"—dashboards that tell you yesterday’s news. Revach argues that visibility without action is just noise.
"The first generation of tools is a kind of attempt to help the financial side of the cloud," Revach told VentureBeat. "They usually deal with the financial aspects of cloud costs… showing you cost escalation, cost reduction, forecasting, budgeting. But what they don’t really focus on is one of the biggest problems, which is the garbage problem."
According to Revach, the disconnect is in ownership.
"Just as you have a cybersecurity CISO trying to get everyone to think about security, you now have a FinOps person trying to get everyone to think about the cost of the cloud."
Technology: hunting "trash in the shadow"
The core of Adaptive6’s offering is this "Cloud Cost Governance and Optimization" (CCGO) platform. It doesn’t just look for idle servers; it looks for what the company calls Shadow Waste—hidden deficiencies in architecture and application workloads that traditional costing tools often miss.
The system works without agents, using standard cloud APIs to get 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 every cloud resource (where) we find a problem with the relevant line of code that actually creates the problem," Revach explained.
it "Cloud to Code" The 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 the basic resource size, the platform analyzes complex configurations, including for emerging AI workloads.
Revach emphasizes a certain technical nuance about "given throughput" for Large Language Models (LLMs) in AWS.
He noted that engineers often struggle to balance the level of commitment—doing a low-risk performance, while doing too much capital wastage. The Adaptive6 engine analyzes these specific usage patterns to recommend the exact throughput commitment required, a level of granularity that general finance tools lack.
Revach also gives a specific example of "Shadow Waste" involving inefficiencies at the application level:
"If you’re using Python… and you’re not using the latest version—now, version 3.12 makes a big change that makes it more efficient," he said. "Most people, when they think about the cost of the cloud, they don’t necessarily think about the version of Python, so they only think about the size of the machine. By switching to that version, you gain efficiency so that your code runs faster, and you reduce costs."
The AI paradox: both problem and solution
While Adaptive6 uses AI to generate remediation scripts and "1-Click on Repair," Revach is careful to distinguish their deep tech approach from generic AI coding agents. In fact, he notes that AI-generated code is often a source of garbage itself.
"The code created by AI is often not as efficient because it is trained on a lot of code written by other people without taking into account the optimization of cloud costs and management," Revach warned.
This is why Adaptive6 relies on a research team of experts instead of only generative models to identify inefficiencies. "Like vulnerability research, you see cyber companies hiring the best of the best security researchers to find things…" Revach said.
Impact and adoption
The platform is already used by major businesses, including Ticketmaster, Bayer, and Norstella, with customers reporting a 15–35% reduction in overall cloud spend.
For global organizations, the ability to decentralized cost management is essential. "As complex as a large organization is, that’s really our sweet spot," Revach noticed. He cited a striking example of the tool’s effectiveness: "We had a case where a misconfiguration that was basically resolved by an organization actually resulted in over a million dollars in savings."
Looking ahead
The system also includes "shift to the left" control capabilities, directly integrates with CI / CD pipelines. This allows the platform to scan code for cost inefficiencies before it goes live, effectively blocking costly architectural mistakes before they are deployed—much like a security scanner blocks vulnerable code.
"We notice what’s already wasting money, prevent new inefficiencies before they’re deployed, and fix them at scale," Revach said. By shifting the responsibility left to the developers, Adaptive6 suggests that the future of cloud cost management will not be found in a spreadsheet, but in a pull request.
