24metrics needed to enhance their rule-based fraud detection with machine learning to predict user quality early and stop evolving fraud schemes. With only 8 engineers and no ML expertise, they required a trusted partner to guide them through building these capabilities on Google Cloud.
DoiT provided comprehensive support through a dedicated Slack channel and guided 24metrics through Google Cloud AutoML implementation. The team helped define the problem scope, recommended the right tools, analyzed training results, and ensured cost-efficient deployment of ML models.
We thought this project would take more than five months and involve more engineers. But with close support from DoiT, it ended up being quite easy and much faster than expected. It only took us two months to build the machine learning algorithm and deploy the new feature.
Stavros Charitakis, Engineer, 24metrics
About 20% of marketing spend is lost to digital ad fraud. 24metrics helps businesses detect fraudulent traffic with proprietary rule-based algorithms, but evolving threats required machine learning capabilities to predict user quality early. With only 8 engineers and no ML expertise, the team needed a trusted partner to guide them through building these capabilities on Google Cloud.
24metrics runs all services on Google Cloud using microservices on Google Kubernetes Engine. They needed ML expertise to leverage Google Cloud's capabilities. DoiT International stood out for their deep familiarity with 24metrics' Google Cloud setup, attractive pricing with no extra cost, and excellent support team.
DoiT set up a dedicated Slack channel for non-bureaucratic collaboration and provided comprehensive guidance on Google Cloud AutoML. When initial results didn't meet standards, DoiT helped analyze issues and recommend alternatives. The team guided 24metrics through exact deployment steps, ensuring cost-efficient implementation.
The new ML capabilities delivered immediate value. 60% of existing customers adopted the new services, experiencing 4.2x higher accuracy than traditional methods and 7x faster results. Customers can now set executive dashboards to observe campaign metrics and user quality in real-time.
The ML feature became a unique differentiator, attracting new customers specifically for this capability. It directly improved revenue and client retention. The solution enables businesses to stop fraud before it happens, with intuitive task reports helping customers quickly see campaign improvements.
24metrics plans to expand ML capabilities to add more anti-fraud filters and adapt solutions to new industries, especially e-commerce. With the ability to predict purchase values, they aim to help online stores improve conversion rates, becoming a one-stop shop for campaign effectiveness optimization.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
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.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
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.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Let us show you what ships this week.
