Processing millions of medical images in the cloud: DoiT helps QMENTA keep costs under control

QMENTA uses AI to optimize clinical trials by managing medical images on Google Cloud, achieving significant cost savings with DoiT's expertise.

DoiT Cloud Intelligence™
QMENTA
22%
Reduction in cloud costs

We expect QMENTA to grow its current size considerably over the next year, which will see our cloud usage increase considerably. Through our work with DoiT we have future-proofed our growth, ensuring that as we scale exponentially, our cloud spend remains firmly under control.

Paulo Rodrigues
CTO and Co-Founder

The Challenge

QMENTA needed expert guidance to maximize Google Cloud efficiency while managing compute-intensive AI workloads and massive image storage. The company required cost optimization to pass savings to customers and needed to strengthen security and compliance in a highly regulated healthcare environment.

The Solution

DoiT provided comprehensive cloud optimization through FinOps consultations, architecture reviews, and specialized training. The solution included implementing Committed Use Discounts, optimizing Kubernetes usage, strategizing storage with Google Cloud Autoclass, and enhancing security with identity management and intrusion detection systems.

Results

  • Achieved 22% reduction in Google Cloud costs within nine months
  • Gained unlimited access to cloud reliability engineers for faster decision making
  • Future-proofed infrastructure for 2-3x growth expansion
  • Enhanced team confidence through specialized cloud training sessions

Meet QMENTA

QMENTA provides a cloud-based system that revolutionizes clinical trials by managing medical images at scale. The company uses AI to anonymize, organize, and standardize thousands of patient images from multiple scanners and hospitals. Their algorithms extract clinical data from each image, providing clinicians with a single source of truth for accurate assessment. This approach improves both the time and cost efficiency of clinical trials while enhancing accuracy through objective quantitative data.

Controlling costs while maximizing cloud potential

DoiT's Cloud Reliability Engineers conducted comprehensive FinOps consultations, reviewing QMENTA's infrastructure to provide actionable optimization recommendations. Key initiatives included implementing Google Cloud Committed Use Discounts with careful analysis to ensure appropriate commitments, and developing commitment automation strategies for continuous best-available pricing. QMENTA leveraged DoiT's Cloud Analytics dashboards for enhanced visibility and control of cloud expenditure, enabling the team to identify overspending areas and make targeted adjustments for significant savings.

Optimizing computing and data storage

DoiT provided specialized Kubernetes training sessions to help QMENTA optimize Google Kubernetes Engine usage for their AI workloads. The team learned to scale usage up and down according to demand, reducing GKE nodes for memory-light tasks while scaling up for high-performance requirements. For storage optimization, DoiT helped strategize the best approach to storing millions of medical images, balancing accessibility with costs. QMENTA implemented Google Cloud's Autoclass feature in Cloud Storage to automatically classify images and ensure optimal storage pricing for each file type.

Strengthening cloud security for patient data

DoiT conducted identity and access management workshops to familiarize QMENTA with industry best practices, including effective user group management for streamlined access control. The company received recommendations for cost-effective implementation of Google Cloud Intrusion Detection System, starting with test projects before production deployment. QMENTA is now working with DoiT to explore optimal usage of Google Cloud Security Command Center to further enhance their security posture while managing costs effectively.

Future-proofing for exponential growth

Having completed fundraising and validated their product, QMENTA is scaling customers and users, which will significantly increase stored and processed images. The optimization work with DoiT has prepared the company for this expansion. As Paulo Rodrigues noted: 'We expect QMENTA to grow to two or three times its current size over the next year. Through our work with DoiT, we have future-proofed our growth, ensuring that as we scale exponentially, our cloud spend remains firmly under control.'

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