Adaptive6 Reduces Enterprise Cloud Waste – Ticketmaster Case Study

The generative AI ​era has sped everything up for most ‍enterprises ⁤we​ talk to, especially ⁢development ‍cycles​ (thanks to “vibe coding” and “agentic‍ swarming“).

But​ even as they seek to leverage the power‍ of new AI-assisted ⁢programming tools and coding agents like‌ Claude code to‌ generate code, ⁤enterprises must contend with a looming concern‍ – no, not safety (although that’s another one!):‍ cloud spend.

According to Gartner, public cloud spend ⁤will rise 21.3% ⁢in ​2026 and yet,according to Flexera’s ⁢last State of the Cloud report, ⁢up to 32% of enterprise cloud spend is actually just wasted resources – duplicated code, non-functional code,‍ outdated code, needless scaffolding, inefficient processes, etc.

Today, a new firm, Adaptive6 emerged from stealth⁤ to reduce this cloud waste in realtime – automatically.‍ the company, which also announced $44 million in⁢ total funding including a $28 million Series​ A led by U.S. Venture Partners (USVP), aims to treat ⁤cloud waste not as a financial​ discrepancy, but as a code vulnerability⁣ that must be ⁣detected and patched.

Co-founded by ‌ CEO Aviv ⁢Revach, an experienced founder, former Head of Strategy at Taboola, and⁣ a former security research team leader for the 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 ​drew on ⁤our background⁢ in cybersecurity, where to find vulnerabilities, you scan the cloud, identify the‍ issues, map them back⁣ to the relevant ⁣code, find​ the responsible​ developer or⁢ engineer, and remediate-or, in certain specific cases, shift left and prevent them altogether… ‌it was obvious ​that this is exactly what‍ we ⁤need⁢ to ‍do.”

Adaptive6’s‍ platform introduces a‌ radical shift in how enterprises govern infrastructure: rather of‌ asking finance teams to spot inefficiencies⁤ they ‌can’t fix, it empowers engineers to resolve waste ⁢directly in their workflow.

By applying the rigor ​of cybersecurity-scanning, ‌tracing, and ⁣remediation-Adaptive6 automates the cleanup of ‌”Shadow Waste” across ⁢complex⁤ multi-cloud environments.

The shift: from billing ⁤to engineering

For years,the industry standard for managing‌ cloud costs has ⁢been “visibility”-dashboards that tell you yesterday’s news. ⁤Revach argues that visibility without action is ‌just noise.

“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,