Promptly scales patient-care AI with DoiT's Accelerator
- $600K
- Annual cloud cost savings
- 3x
- Months of engineering time saved
DoiT helped Earny migrate to Google Cloud for better stability, cost savings, and the flexibility to scale from 3 million to 10 million customers
“DoiT was integral to this project's success, given the complexity of our systems and huge volume of data. We had many meetings between our engineering teams, which helped streamline implementation a lot. Today all of our user data runs on Cloud Spanner, and we have not had a single problem or outage.”
Earny experienced severe outages during consecutive Black Fridays on their legacy cloud infrastructure. The company struggled with scalability issues and lack of production support, with engineers constantly complaining about infrastructure limitations that prevented proper customer service during peak shopping periods.
DoiT helped Earny migrate their massive databases to Cloud Spanner and transition from monolithic architecture to microservices on Google Kubernetes Engine. The migration included precise planning for mission-critical systems and close collaboration between engineering teams to ensure seamless data flow and system redesign.
Earny bridges the world between consumers and sellers with an app that helps consumers save money on purchases. The company's research found that lack of online shopping savvy translated to $50 billion in missed savings opportunities. Earny started with automating price protection, reimbursing consumers when products they bought had price reductions after purchase, driving tens of millions of dollars back into customer pockets.
Earny experienced severe outages during consecutive Black Fridays while on legacy cloud infrastructure, leading to poor customer engagement and lost opportunities. Engineers complained constantly about the infrastructure limitations and lack of production support. After due diligence, the company realized Google Cloud would provide the scalable, flexible environment needed, with incredible support from DoiT.
The first and most complex project was migrating massive databases from SQL server to Google Cloud. DoiT assisted by helping re-define and design data models and flow designs to seamlessly migrate onto Cloud Spanner. The migration required precise planning given the mission-critical nature of the system. Multiple meetings between engineering teams helped streamline implementation.
After successful database migration, Earny migrated virtual machines from monolithic architecture to microservices on Google Kubernetes Engine. This change generated cost savings by enabling quick scaling up or down based on demands. With hundreds of clients and services, engineers can now work on individual pieces without impacting the overall system.
The combination of Cloud Spanner and GKE, with DoiT's continued support, allows Earny to continue innovating through new feature development and on-the-fly system adjustments. As a startup supporting millions of customers, Earny processes billions of transactions and submits hundreds of thousands of claims daily. System stability and flexibility are crucial for operations.
Earny aims to be the biggest player in online shopping, helping consumers use technology to save money in every possible way. The company envisions millions of shoppers using their app to save millions of dollars for better financial futures. The migration proved well-timed as more people shop online, and the platform scales easily to handle greater demands.
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.

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
Working with DoiT gave us the speed of a startup and the rigor of an enterprise R&D lab. We launched an AI feature in ninety days with zero engineering lift, unified our cloud visibility across multiple products and built a foundation to scale AI responsibly.
Tim Green, SVP of AI, DaySmart
Our AWS environment had grown rapidly, and complexity was outpacing control. DoiT helped us bring structure and clarity, aligning financial and technical decisions through a shared foundation.
Maurizio Trezzi, Director of IT, Vivaticket
DoiT gives us contextual insight into what's happening in our cloud environment. That helps us ensure we're meeting customer needs while managing our costs. It's that central pane of glass that lets engineering and finance work together, powered by the technology and backed by DoiT's people.
Matt Warner, Co-Founder and CEO at Blumira
For anyone considering DoiT: do it. The tools pay for themselves. We've reduced costs, improved visibility, and built a platform that can scale globally with control and confidence.
Matej Serbec, CTO, TradeLocker
DoiT didn't just give us a product – they gave us clarity. Cloud Diagrams has helped our teams understand what we're running, why we're running it, and where we can improve. The real-time visibility is a game changer for engineering, leadership, and everything in between.
Donnie Green, VP of Platform Engineering, Bloomerang
With maybe 5-10 minutes, Ava had guided me right down into the low-level detail of the services that we were running in our compute environment, named the exact instances that were starting to chew through our money, produced a report for me that showed that this was almost a direct correlation to the cost growth that we were seeing, which meant that we were able to get on top of it pretty much immediately.
Stephen Roughley, Head of Engineering at Sentric Music
With DoiT Cloud Intelligence™ managing our procurement and DoiT's engineers acting as an extension of my team, my costs are down, my efficiency is up, and my profitability is up
Mitch Bernet, Founder and CEO at Atadex
A key takeaway for me working with DoiT is that the level of professionalism is extremely high. They're an obvious choice if you're looking for a partner to help implement best practices in your cloud environment and reduce cost.
Oliver Young, Senior Technical Manager at Skyral
We knew WhatsApp was the perfect channel for global remittances, but building secure, real-time conversations across languages was a massive challenge. DoiT helped us break through. They didn't just advise, they helped us architect and launch a GenAI solution that's 100x more powerful than what we had. We're now in a completely different league.
Jaime Gonzalez-Gasque, CEO, Reimagination Technologies
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