The generic AI era has sped up everything for most enterprises we talk to, especially development cycles (thankfully). "vibe coding" And "agentic herd").
But even as they want to leverage the power of new AI-assisted programming tools and coding agents like Cloud Code to generate code, enterprises must grapple with a growing concern — no, not security (though that’s another one!): cloud expense.
According to Gartner, public cloud spending will grow 21.3% in 2026 and yet, according to Flexera’s final State of the Cloud report, up to 32% of enterprise cloud spending is actually just wasted resources – duplicate code, non-functional code, outdated code, unnecessary scaffolding, inefficient processes, etc.
Today, a new firm, Adaptive6, has quietly emerged to reduce this cloud waste automatically in real time. The company, which has also 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 anomaly, but as a code vulnerability that must be detected and patched.
Co-founded by CEO Aviv Ravach, an experienced founder, former head of strategy at Taboola and former security research team leader for Israeli military intelligence unit 8200, the idea behind the venture came directly from his experience working in cybersecurity.
“We realized this is not a financial problem; it’s an engineering problem," Revach told VentureBeat in an exclusive video call interview conducted recently. "We used our background in cybersecurity, where to find vulnerabilities, you scan the cloud, identify issues, map them back to the corresponding code, find the responsible developer or engineer, and make improvements — or, in some cases, shift left and prevent them altogether… It was clear that this is what we needed to do.
Adaptive6’s platform introduces a paradigm shift in the way enterprises control infrastructure: Instead of asking finance teams to identify inefficiencies they can’t fix, it empowers engineers to solve waste directly in their workflows.
Adaptive6 automates cleanup by applying the rigor of cybersecurity—scanning, tracing, and remediation—to "shadow waste" In complex multi-cloud environments.
Transformation: From Billing to Engineering
For years, the cloud has been the industry standard for cost management "visibility"-Dashboards that tell you yesterday’s news. Revach argues that visibility without action is just noise.
"The first generation of tools is trying to help with the financial side of the cloud," Revach told VentureBeat. "They usually deal with the financial aspects of cloud costs… showing you cost overruns, cost overruns, 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 everyone to think about security, now you have the FinOps person trying to get everyone to think about cloud cost."
Technology: Hunting "shadow waste"
This is the core of what Adaptive6 offers "Cloud cost administration and optimization" (CCGO) Platform. It doesn’t just look for inactive servers; It looks for what the company calls shadow waste – hidden inefficiencies in architectures and application workloads that traditional costing tools often miss.
The system operates without agents, using standard cloud APIs to gain read-only access to the environment.
Rewatch explained to VentureBeat that the platform scans deeply across AWS, GCP, and Azure, as well as PaaS layers like Databricks and Snowflake, and even Kubernetes clusters.
"We have unique technology that basically allows us to match every resource in the cloud [where] We found a problem in the relevant line of code that actually caused the problem," Revach explained.
it "cloud to code" The technology allows the system to identify the specific engineer who made the change and provide them with improvements directly to their workflow (Jira, Slack, or ServiceNow).
Beyond basic resource size, the platform analyzes complex configurations, including emerging AI workloads.
Rewatch highlights a specific technical nuance "provisioned throughput" For Large Language Models (LLM) on AWS.
He said engineers often struggle to balance the level of commitment – performing too little risk, while wasting too much capital. Adaptive6’s engine analyzes these specific usage patterns to recommend the exact throughput commitment required, a level of granularity that typical finance tools lack.
Revach also gave a specific example of "shadow waste" Incorporating application-level inefficiencies:
"If you’re using Python… and you’re not using the latest version – right now, version 3.12 has made a major change that has made it more efficient," He said. "Most people, when they think about cloud cost, they don’t necessarily think about the Python version, so they only think about the size of the machine. By moving to that version, you gain efficiencies that make your code run faster, and you reduce costs."
The AI Paradox: Both the Problem and the Solution
While Adaptive6 uses AI to generate corrective scripts "1-Click on Fix," Revach was careful to differentiate his deep-tech approach from general AI coding agents. In fact, he said that AI-generated code is often a source of waste.
"The code generated by AI is at times not as efficient because it was trained on a lot of code written by other people that did not necessarily take into account cloud cost optimization and administration," Revach warned.
That’s why Adaptive6 relies on a research team of experts rather than just generic models to identify inefficiencies. "Just like with vulnerability research, you see cyber companies calling in the best security researchers to find things… we’re doing exactly the same thing for cost inefficiencies," Revach said.
Impact and adoption
The platform is already in use by major enterprises including Ticketmaster, Bayer and Norstella, with customers reporting 15-35% reductions in total cloud spend.
For global organizations, the ability to manage decentralized costs is important. "As complex as it gets with a larger organization, this is really our sweet spot," Rewatch noted. He cited a dramatic example of the device’s efficacy: "We have a case where a misconfiguration that was originally resolved by an organization actually saved over a million dollars."
looking ahead
System also included "shift left" Prevention capabilities integrate directly into CI/CD pipelines. This allows the platform to scan code for cost inefficiencies before it goes live, effectively preventing costly architectural mistakes before they can be deployed – just like a security scanner blocks weak code.
"We spot where money is already being wasted, stop new inefficiencies before they materialize, and make improvements at scale," Revach said. By shifting the responsibility left to developers, Adaptive 6 suggests that the future of cloud cost management will be found not in a spreadsheet, but in a pull request.
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