Cloud ex Machina (CxM) has officially launched its AI-powered cloud optimization platform, aiming to solve a persistent and costly challenge faced by modern engineering teams the growing bandwidth problem in cloud management. As organizations continue to scale their cloud infrastructure, engineers are increasingly expected to identify and fix cloud waste. However, this task often requires hours of manual context gathering and deep root-cause analysis, which directly competes with feature development and innovation.
According to research from BCG, up to 30% of enterprise cloud spending is wasted due to inefficient usage and limited cost governance. Despite the scale of this issue, remediation efforts frequently stall. In many organizations, optimization tickets remain untouched for weeks or even months, not because teams don’t care, but because engineers simply lack the time to investigate and resolve them alongside their core responsibilities.
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To address this challenge, Cloud ex Machina has introduced a platform that automates the most time-consuming aspects of cloud optimization. Instead of relying on manual investigation, CxM’s AI continuously analyzes cloud environments, maps service ownership and interdependencies, and detects actionable optimization opportunities. More importantly, the platform goes beyond insights it generates ready-to-review pull requests that include detailed rationale, impact assessments, and rollback instructions.
As a result, engineers can review and merge optimization fixes directly within Git, treating them like any other code change. This workflow significantly reduces friction, enabling teams to act on cost-saving opportunities without disrupting their development velocity.
“Engineers don’t wake up excited to optimize cloud costs,” said Thomas Davy, CEO and co-founder of Cloud ex Machina. “But their managers care, their CTOs care, and those tickets aren’t going away. The question is whether fixing cloud waste requires five hours of in depth investigations or five minutes of code review. We built an AI platform that does the research, validates the fix, and generates the code changes so engineers can clear optimization work and get back to building.”
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Furthermore, the platform fills a long-standing gap within the FinOps ecosystem. While traditional FinOps tools focus heavily on dashboards, reports, and cost visibility, CxM takes a more execution-driven approach. Instead of asking engineers to interpret charts and hunt for root causes, the platform delivers concrete solutions in the form of code changes. Meanwhile, engineering managers and business leaders can track remediation progress and business impact directly within the CxM interface.
With this launch, Cloud ex Machina positions itself as a practical bridge between cost visibility and action, helping organizations convert cloud cost insights into measurable savings. The platform is available immediately and is backed by Serena Capital, Ankaa, Adesso Ventures, and several well-known angel investors from the cloud and enterprise software ecosystem.
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