At Shiftmove, the progressive player in the European fleet management market serving more than 18,000 corporate customers across Europe, AWS spend had become one of the company’s biggest financial variables. Volatile costs undermined margin forecasts and left finance struggling to defend projections.

Shiftmove turned that volatility into predictability, unlocking 27.3% guaranteed savings on AWS commitments, six-figure annualized savings, and a two-thirds reduction in risk exposure within 90 days.

Harbr Data faced a challenge familiar to many engineering-led teams: AWS cost visibility without the capacity to act. Engineering was stretched thin, and finance lacked the tools to manage risk or forecast accurately. Within weeks of working with Cloud Capital, Harbr Data turned that complexity into control.

They achieved a 34.7% savings rate on commitments made, reduced commitment risk from 100% to 21.6%, and established a forecasting model that unified finance and engineering on every dollar of cloud spend.

As Metomic scaled its data-security platform, AWS costs became one of its largest and least predictable operating expenses. Engineering focused on product delivery, while finance struggled to model spend that changed with each new workload.

In under 90 days, Metomic applied its own principles of visibility and control to cloud operations, turning AWS volatility into disciplined financial governance. The initiative achieved a 19.5% savings rate on commitments, increased coverage from 0% to 54%, and delivered a unified, auditable forecast trusted by both Finance and Engineering.

Colossyan’s AI video-generation platform relies on a complex mix of inference, training, and rendering workloads that evolve constantly as the product grows. As usage scaled, AWS costs became increasingly unpredictable, fluctuating with every new feature release and research experiment.

Within 90 days of working with Cloud Capital, Colossyan brought structure and predictability to its cloud operations, achieving a 38% savings rate on commitments made, gaining forward-looking financial visibility, and reducing engineering time spent managing costs.