Versapay: Digital Payments Mobile Strategy

Discover how K Health partnered with Foxbox to scale its AI healthcare platform across systems using Kotlin Multiplatform—powering personalized, cross-platform care at scale.

K Health: AI-Driven Healthcare Case Study | Foxbox Digital

When K Health was founded in 2016, the company set out to transform primary care. In 2024, they underwent a transformation of their own. One that required a highly capable engineering partner to bring to fruition.

empirical evidence that K Health’s AI Physician Mode outperforms human doctors

, the company set out to evolve the platform from a single-instance patient app into a white-label virtual care platform that allows hospitals and health systems to deliver personalized, AI-powered care at scale.

 With insufficient internal bandwidth to simultaneously build toward the future and maintain existing functionality, K Health needed a trusted partner to extend their engineering capabilities immediately

“We needed a team tomorrow or we weren’t going to get it done in time.

K Health turned to Foxbox for the support necessary to rebuild the apps from scratch, natively in iOS and Android, optimizing for cross platform functionality and adaptability via Kotlin Multiplatform. With a focus on AI functionality, automated testing and scalability, our team hit the ground running as extensions of the K Health team.

At the heart of the K Health experience is an AI-powered engine for symptom checking, triage, and scheduling—used by both patients and providers. Delivering that experience at scale required solving a deceptively complex problem: making advanced infrastructure feel completely invisible. 

K Health supports live video visits powered by multiple video providers, each with their own distinct technical constraints. Our challenge was to abstract those differences entirely, so patients never had to think about what technology was powering their visit.

To achieve this, we engineered a unified video layer that handled audio, video, device selection, and real-time state changes consistently across platforms, despite fundamentally different event models under the hood. In healthcare, even small inconsistencies, like a muted microphone UI that doesn’t reflect actual audio behavior, can introduce serious risk, requiring rigorous testing and careful synchronization.

In parallel, we designed the system to support multilingual and accessible care without increasing product complexity. Language localization is resolved server-side, allowing the app to dynamically render content in a patient’s preferred language without hardcoded translations or client updates. The result is a flexible, future-ready foundation that scales across partners, languages, and accessibility needs, all without ever compromising the patient’s experience.

 allowed us to build native iOS and Android apps with a shared, secure business logic. This shift dramatically improved scalability by reducing duplicate effort across platforms.

With Kotlin Multiplatform, we delivered fully native UI layers without compromising performance, resulting in lightning-fast interactions, smooth animations, and rock-solid functionality.We engineered for the future: optimizing for low-bandwidth environments, supporting multiple languages, and building a custom QA automation framework to validate daily releases and minimize regression risk. 

We engineered for the future: optimizing for low-bandwidth environments, supporting multiple languages, and building a custom 

 framework to validate daily releases and minimize regression risk. Every decision was made to enhance performance and long-term resilience.

We validated every day… it really helps enhance the testing experience.”

Our approach goes beyond writing code. From day one, we operated with full product ownership—proactively flagging issues, suggesting solutions, and adapting to shifting specs and timelines. We worked side-by-side with K Health’s internal engineers, designers, and product leads, navigating complexity with confidence and clarity.


This close collaboration enabled K Health to roll out new branded apps for major US-based health systems to provide AI-powered virtual care solutions, all while maintaining a single codebase and unified release pipeline. Because the architecture is built for flexibility, new deployments don’t require rework. Localization, customization, and expansion are possible on the fly. If a clinic wanted to launch in French tomorrow, they can do so without changing the code.

“They see something, they say something. They write it up, explore it, and suggest solutions.”

Today the K Health platform is powering virtual care programs at health systems that serve over 

 patients. All without sacrificing development efficiency, code quality or the ability to adapt. 

Together, our partnership doesn’t just extend capacity. It empowers K Health to move faster, think bigger, and scale smarter. And we’re proud to be along for the ride.


“The learning curve was steep, but now we can confidently build anything with Kotlin Multiplatform.” 

 to learn more about how we're helping providers and payers build world-class digital health products.

K Health: Powering AI-Driven Healthcare with a Personalized Cross-Platform Experience

Elliott Torres joins Foxbox as CTO, new headway in healthcare, 3x Inc 5000 Honoree, and some overdue in-person collaboration. 

Founder's Update - Fall 2024 | Foxbox Digital

For a company like Foxbox, there’s simply no replicating the value of seasoned technical leadership. 

Which is why I’m thrilled to have Elliott on board to help serve our clients and propel our business forward. Elliott brings over 20 years of experience in artificial intelligence, machine learning and software architecture to our team. He’s known for his impressive track record in healthcare, including his most recent executive positions at Anthem Inc, Hydrogen Health and K Health. Elliott was also instrumental in building the AI practices at companies like Deloitte and KPMG.

As a former three-time Foxbox client, he knows our team well and has hit the ground running in leading our engineering teams, upskilling developers and shaping how we use AI to build indispensable digital products. And as anyone who’s worked in Elliott’s orbit can attest, he’s as good as it gets. And we’re lucky to have him on board.

Led by Elliott’s experience, we’re sharpening our ability to serve our healthcare clients. Building upon our track record developing patient-centered digital products for ambitious organizations, we’re leaning into our experience and developing highly-tailored 

 searching for ways to do more with less.

Whether it’s building custom electronic health records (EHR) systems to help providers strike improve patient engagement and backend efficiency, or helping tech leaders build 

we’re evolving our services and solutions to meet the needs of a rapidly changing industry. 

If you know someone in healthcare who is looking to build a new product, improve an existing one or start developing true AI-ready infrastructure, 

Foxbox made the Inc. 5000 for the third year in a row

! It’s been a wild ride since we first set up shop, and I couldn’t be more proud to still lead a team that wants to show up and do great work for our clients. While technically a measure of Foxbox growth as a business, I always think of recognitions like the Inc. 5000 as a testament to our people.

3x Inc 5000 Honoree

Speaking of team Foxbox, I’d be remiss not to celebrate the simple post-pandemic joy of spending time with a coworker you know well, but have yet to meet in person. Karina López has worked on our finance team for four years. Now thanks to an energizing visit to Chicago, Karina and I were finally able to connect properly - no virtual meeting links in sight.

healthcare

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K Health: Powering AI-Driven Healthcare with a Personalized Cross-Platform Experience

Founder's Update - Fall 2024