Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Candid was founded to offer transformative oral health care. Through best-in-class technology and its innovative approach to partnership, Candid aims to make the highest quality care accessible, approachable, and achievable for dental professionals and their patients. The company's flagship product, the CandidPro orthodontic system, is a comprehensive orthodontic solution customized to the needs of general dentists—bringing more clinical predictability, workflow efficiency, and profitability to clear aligner providers of all experience levels.
Candid aimed to eliminate wasted AWS cloud spend and gain confidence to scale while tapping expert guidance for cost optimization. The company needed to optimize AWS storage economics with governance rather than only reduce headline costs. One main cost was the size of its RDS database, where Candid was significantly over-provisioning, diverting budget from roadmap delivery.
DoiT provided in-depth analysis of immediate efficiencies and long-term engineering benefits. Candid adopted Flexsave for Compute for automated savings, worked with DoiT CREs to redesign storage solutions and reduce RDS costs, implemented Cloud Analytics for real-time cost monitoring, and used Anomaly Detection to identify cost spikes quickly.
As a customer, the fact we have someone we can rely on, who has our back, is very reassuring. With the console, DoiT provides technology that helps us manage costs, and it also provides really helpful customer service.
Tony Bussieres, Staff DevOps Engineer at Candid
Candid wanted to identify savings on its AWS usage. DoiT recommended Flexsave for Compute, which automatically identifies and applies discounted rates to any of Candid's AWS EC2 workloads not already covered by commitments, freeing engineers from manual tracking. Candid's small team no longer has to spend hours each week reconfiguring their compute workloads or monitoring their commitments to make sure it is always getting the best available price.
When Candid began working with DoiT, it used a large RDS database to run the application that dentists use to submit patient cases. This was running up considerable costs for the company. After talking with DoiT's Cloud Reliability Engineers, the Candid team decided to reduce its RDS container size, significantly reducing the spend on its RDS database. The DoiT CREs also helped Candid manage its Amazon S3 storage costs by identifying default settings that were keeping old versions of files unnecessarily.
Candid worked with DoiT to optimize its cloud usage, focusing on removing inefficiencies in its infrastructure. DoiT console enabled the Candid team to explore in depth what was happening across its cloud infrastructure, focus on cost reduction, and identify possible savings across the business. With Cloud Analytics, Candid can now identify rising costs as they happen, as opposed to reviewing them after they've been incurred, helping it to quickly identify savings and take action.
Candid can now identify cost anomalies in its cloud usage, with the help of DoiT console's Anomaly Detection feature. This alerts the Candid team to unexpected cost spikes, allowing them to take fast remedial action to help keep costs under control. The team spotted several cost anomalies during the past year, including an instance that cost $1,000 a day just because something was poorly configured. DoiT was quick to help investigate, pinpoint the problem, and stop the bleeding.
When Candid noticed dentists were spending considerable time manually inserting patients' dental images into their system, Candid used Amazon SageMaker to create an AI-powered tool to select the images automatically which has drastically reduced the time required for case submissions. DoiT worked with the Candid team to help develop the proof of concept and adhere to AWS best practices. DoiT also helped Candid to secure R&D credits from AWS, saving the company thousands of dollars on its SageMaker costs.
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
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PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
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PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
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
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