With its visual intelligence technology, Bdeo helps insurers use images to assess damage and estimate costs with speed and precision—streamlining claims and underwriting so teams can make faster, more informed decisions. Founded in Spain in 2017, Bdeo now works with more than 50 companies across 28 countries, with offices in Spain, Mexico, the UK, France, and Italy.
Bdeo experienced rapid growth during the pandemic as insurers relied on their platform for remote evidence gathering. This accelerated scaling exposed gaps in architecture design and created unit-economics blind spots. The company struggled with cost visibility and needed clarity into which business areas and products were driving cloud spend to make data-driven optimization decisions.
Bdeo implemented DoiT Cloud Analytics with custom dashboards to visualize cloud costs across the organization. They used Allocations to attribute costs to specific products and services, deployed Real-Time Anomaly Detection for accurate cost spike identification, and leveraged Flexsave for Compute to optimize on-demand EC2 workloads. DoiT Cloud Reliability Engineers provided strategic guidance on storage tiering and conducted a Well-Architected Framework review.
Since working with DoiT we have saved 25% of our operational costs, even as our business operations have grown. The DoiT Console was a hidden treasure. Previously, costs weren't a part of the decision-making process. Now, whenever we consider which path to take, we chart the costs of each one.
Antonio David Fernandez Reyes, CTO
Bdeo began working with DoiT in 2023, leveraging DoiT Cloud Analytics and building custom dashboards to gain clearer insight into cloud costs. DevOps engineers, ML Ops, and CIO roles now have tools to visualize any cost in detail within five minutes. Bdeo uses Allocations within the DoiT Platform to attribute costs to specific products and services, providing clear view of complex cloud expenditures. Real-Time Anomaly Detection replaced frequent false-positive alerts with accurate identification and guided remediation recommendations.
Much of Bdeo's Amazon EC2 usage is covered by AWS Reserved Instances for predictable workloads. However, some resources must scale dynamically, requiring on-demand pricing. DoiT recommended Flexsave for Compute, which automatically identifies and applies discounted rates to EC2 workloads not covered by commitments. This delivered an additional 10% savings on Bdeo's on-demand compute costs.
Bdeo partnered with DoiT Cloud Reliability Engineers to identify further efficiencies across its AWS environment. Given the company's heavy use of image and video data, optimizing storage tiering was a priority. DoiT CREs collaborated to design an intelligent storage tiering strategy, balancing rapid access requirements with cost-effective pricing. The result was improved storage economics without compromising performance or availability.
As Bdeo gained greater cost visibility, it worked with DoiT CREs to analyze and optimize its AWS architecture for reliability, performance, and security through a Well-Architected Framework review. Following the review, Bdeo implemented multiple security enhancements to reduce system vulnerability. The process also sharpened focus on workload health and AI processing performance, ensuring the infrastructure could scale while maintaining required performance benchmarks.
As Bdeo continues optimizing cloud costs and working toward 100% workload tagging for full cost visibility, the partnership with DoiT is expanding to focus on strategic cloud architecture initiatives. Bdeo is developing real-time AI insights that guide users on image quality and provide instant recommendations for improvement. DoiT Cloud Reliability Engineers are consulting on the right architectural approach—balancing developer experience, performance at scale, and cost efficiency.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
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.
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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.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
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