Adaptive6 Reduces Cloud Waste with Governance Platform

Adaptive6 tackles waste of cloud resources with innovative technology

Adaptive6, a company that has come out of "stealth mode", presents a solution to reduce cloud waste in real time. Currently, the platform is optimizing Ticketmaster and has already raised a total funding of $44 million, including a seed round of $28 million led by U.S. Venture Partners.

The increase in public cloud spending is evident, with Gartner predicting a growth of 21.3% by 2026. However, Flexera indicates that up to 32% of that spending is considered waste, generated by duplicate and inefficient code. Adaptive6 aims to treat this waste as a code vulnerability that needs to be fixed.

Co-founded by Aviv Revach, former leader of the Israeli military intelligence security research team, the company seeks to apply cybersecurity methods to identify and remediate this waste, transforming it into an engineering issue rather than a financial one.

Revach stated, "We realized this is not a financial problem; it is an engineering problem." He emphasizes the importance of identifying and mapping inefficiencies directly to the code, linking each resource to a responsible developer.

The shift in focus: from accounting to engineering

Traditionally, cloud cost management has relied on visibility, with dashboards providing a retrospective view. According to Revach, this approach is not sufficient. He argues that without effective actions, visibility is just noise.

He explains that while current tools focus on financial aspects, they overlook the central issue: resource waste. Adaptive6's model allows engineers to act directly on resolving inefficiencies, transferring responsibility from the finance team to the involved developers.

Technology: identifying "shadow waste"

Adaptive6’s Cloud Cost Governance and Optimization (CCGO) platform stands out by searching for "Shadow Waste" — hidden inefficiencies in architectures and workloads that traditional tools typically miss.

This technology, which does not utilize agents, has read access via standard cloud APIs, covering environments such as AWS, GCP, and Azure. Revach highlights the ability to connect identified issues directly to the responsible line of code.

In the realm of artificial intelligence (AI) workloads, the platform analyzes complex configurations and can make specific recommendations for resource usage, such as provisioning sizing in Large Language Models (LLMs) on AWS.

The paradox of AI: both problem and solution

Adaptive6 utilizes AI to generate remediation scripts; however, Revach distinguishes its approach from generic coding tools. He warns that AI-generated code often does not optimize costs, as it is trained on code that does not consider financial governance.

Thus, the company relies on a team of experts to identify inefficiencies, similar to what occurs in vulnerability assessments in cybersecurity.

Impact and adoption of the platform

The platform is used by companies such as Ticketmaster and Bayer, leading to reductions of 15% to 35% in cloud spending. Revach cited an example where a simple fix resulted in over one million dollars in savings.

Future prospects

Adaptive6 is also implementing preventive features that allow code verification before deployment, avoiding costly mistakes. Revach concludes: "We detect what is already wasting money and prevent new inefficiencies, changing the way we manage cloud costs."