QMENTA Cuts Cloud Costs 22% While Scaling AI

DoiT's FinOps guidance, architecture reviews, and Google Cloud optimizations help QMENTA process millions of medical images efficiently.

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.

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

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

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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What they say

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.

Ian Fahey, Senior Analytics Engineer at Loop

You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can

Diana Koshy, Sr. Director of Data Engineering at Kargo

SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.

Devin McGee, Data Engineering Lead at Home Chef

SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform

Blake Baggett, Head of Data Operations at Entain

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.

Michael Revelo, Manager of data and analytics engineering at ClickUp

Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.

Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.

Edward Mancey, GTM Lead at Synthesia

DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.

Dr. Anish Kapur, Founder & CEO, Promptly

DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.

Alexander Lundberg Santos, Platform Engineer at Extenda Retail

When we started working with DoiT, we deployed Flexsave to save time and reduce complexity. We still use it today. But what really stands out is the expert support. Having someone to collaborate with on deep cloud cost topics, someone who really understands the nuances, is incredibly valuable.

Jesper Terkelsen, CTO at Monta

DoiT's Cloud Accelerator turned our AI idea into a shipped product, saving at least three months of development and delivering reliable, explainable insights our customers trust.

Scott Desgrosseilliers, CEO and co-founder, Wicked Reports

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