Google Cloud Cost Optimization - 26% Reduction for AI Healthcare Platform

Google Cloud Cost Optimization - 26% Reduction for AI Healthcare Platform
Johan de Keulenaer
Partnerships & Channel Growth,
Johan de Keulenaer
Partnerships & Channel Growth,

As Fairtility scaled its AI-driven healthcare platform on Google Cloud, controlling cloud costs became critical to sustaining innovation. CloudZone partnered with Fairtility to implement a structured FinOps optimization approach, restoring cost visibility and reducing Google Cloud spend by 26% without impacting performance.

About Fairtillity

Fairtility is transforming fertility care through transparent, data-driven AI that empowers clinics and patients to make smarter, more confident decisions. Its flagship platform, CHLOE, delivers real-time insights that improve IVF and fertility outcomes by combining advanced AI with medical expertise.

Industry: HealthTech

As Fairtility scaled its AI-driven healthcare platform on Google Cloud, controlling cloud costs became critical to sustaining innovation. CloudZone partnered with Fairtility to implement a structured FinOps optimization approach, restoring cost visibility and reducing Google Cloud spend by 26% without impacting performance.

The Challenge

Rapid growth and data-intensive AI workloads led to rising cloud costs and limited visibility into resource utilization. Fairtility needed a structured approach to optimize its Google Cloud environment without compromising performance or innovation.

The Solution

CloudZone’s FinOps experts conducted a detailed audit of Fairtility’s Google Cloud environment and implemented targeted optimization measures, including:

  • Transitioning Compute Engine workloads from on-demand instances to Spot Preemptible instances
  • Implementing real-time monitoring dashboards and alerts using Anodot
  • Establishing ongoing visibility and measurable ROI through continuous FinOps reporting

This approach balanced cost efficiency with performance and reliability.

The Results

With CloudZone’s guidance, Fairtility achieved a 26% reduction in cloud costs and significantly improved operational visibility. Compute workloads now run with an optimized mix of 80% Spot Preemptible and 20% On-Demand instances, enabling the company to scale efficiently, stay within budget, and continue innovating in reproductive AI.

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