Optimized for Growth: Iris.ai Cuts AWS Costs by 40%

Iris.ai, a pioneering AI company transforming how researchers interact with scientific knowledge, partnered with Several Clouds to bring greater visibility and control to their AWS cloud spend.

With infrastructure spanning multiple regions and a growing portfolio of AI-driven services, the Iris.ai team was looking to optimize costs and implement a long-term strategy for sustainable cloud cost management — all while ensuring seamless continuity across their R&D and production environments.

The Opportunity

Iris.ai had already optimized the AWS environment to accommodate their growing research needs effectively. With workloads distributed across multiple regions and utilizing a diverse set of services for production, staging, and development, they sought a third-party review to ensure further opportunities for enhancing efficiency and reducing costs.

Together, we identified several key areas where we could unlock additional value:

• Right-sized EC2 instance types
• Opportunities to optimize licensing
• Infrastructure components are ready for cleanup or modernization
• Areas where deeper cost visibility could enable smarter decision-making

By focusing on these areas, we worked side by side with the Iris.ai team to build a leaner, more cost-aware foundation, without impacting performance.

Our Approach

Several Clouds began with a comprehensive review of Iris.ai’s cloud environment, combining infrastructure analysis with in-depth billing insights to pinpoint potential opportunities for cost savings and efficiency improvements.

Using AWS native service, Several Clouds pinpointed areas and delivered a clear, actionable roadmap that prioritized quick wins while laying the groundwork for long-term optimization.

Results and Benefits

• Initial cost-saving target: 20%
• Actual optimization potential uncovered: 40%
• 60% of identified savings were implementable within a month
• A long-term cost monitoring and governance strategy is in place
  

Iris.ai now operates with improved AWS cost efficiency — and more importantly, with a framework that supports continuous optimization. Our partnership continues, with Several Clouds providing ongoing support, strategic guidance, and AWS program enablement to ensure Iris.ai’s infrastructure grows in lockstep with their product ambitions.

About the Partner

At Several Clouds, the team is passionate about the public cloud and the DevOps culture and practices. The company assists in modernizing legacy systems and does cloud migrations to achieve more secure, adaptive, and cost-effective environments.

Several Clouds’ AWS architects all possess deep knowledge and extensive experience throughout the full cycle of building business cases, planning, architecting, implementation, and building playbooks and runbooks to help customers with:

• Cloud adoption and migrations
• Cloud training and talent transformation
• Building secure and compliant cloud environments
• Implementing DevOps and DevSecOps practices
• Cost Optimization and FinOps
• Generative AI, Machine Learning, and Big Data
• Serverless and Cloud-Native Development

Learn more about how Several Clouds can speed up your Cloud Adoption - https://www.severalclouds.com/

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