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Ultrahuman – future-proofing its connected health fleet with nRF Cloud technology – reducing device returns by 10x
20
Mar
2026
2026
Oslo, Norway
For its portfolio of connected health devices – from the Ultrahuman Ring AIR to continuous glucose and home monitoring devices – Ultrahuman leverages nRF Cloud technology, Memfault, to support its rapid firmware release culture across its global fleet.
Ultrahuman, a connected health technology company headquartered in Bengaluru, India, offers a data-driven connected health platform designed to help users make informed daily health and lifestyle decisions. Its ecosystem includes the Ultrahuman Ring AIR, the Ultrahuman M1 continuous glucose monitoring system, and the Ultrahuman Home device, delivering passive, always-on insights across biometrics and environmental signals.
Ultrahuman designs its devices around passive, always-on data capture so users receive timely, actionable insights without manual input. Needless to say, users have high expectations, which places a premium on device reliability and rapid firmware iteration across the fleet.
As Vatsal Singhal, Co-Founder of Ultrahuman, explains, “Our users expect a great experience. That means the app has to be 100%, the hardware has to be performant, responsive, and the battery life should be great.”
Supporting a health device worn around the clock in 100+ countries
The Ultrahuman Ring AIR achieves an average wear time of 98% and is deployed across more than 100 countries and 30 retail markets. This level of global distribution, combined with near constant usage, leaves little margin for performance issues or downtime. Devices operate across diverse networks, power conditions, and usage patterns, making fleet consistency far more complex than controlled lab validation can account for.
Real world variability quickly exposed the limits of lab testing. Vatsal notes the challenges of this type of deployment, “We have no idea what kind of Wi-Fi people use. What kind of voltage fluctuations might happen. All of those scenarios that happen in the wild… If you can’t remotely understand it, there’s no way of solving the issue for them because we don’t have service centers in every location.”
Field variability meant issues could emerge anywhere, making slow feedback cycles untenable for the firmware team. As Vatsal explains, “We believe in shipping fast… historically, firmware teams were shipping maybe once a month—we couldn’t run at this pace. And the tolerance for misses was minimal. We didn’t want even one crash to go unnoticed. The cost of failure was so high.” Sustaining rapid releases required immediate visibility into device behavior so engineers could detect problems early and debug remotely without slowing development.
Integrating observability early across the Ultrahuman ecosystem
Ultrahuman implemented the same technology now included in nRF Cloud, Memfault, as its embedded observability layer early in development. Crash diagnostics and device health insights were integrated directly into its product from the outset. The platform gave firmware engineers structured visibility into real-world performance without requiring them to build custom tooling or backend systems.
This decision started with the first version of the Ring. “We started chatting with Memfault when we were just doing our first version of the Ring and we started integrating and working with it right away.” The same approach carried into future launches. “We just launched the home device and even on day one, we integrated Memfault into it.”
With observability embedded across products, the firmware team shifted from reactive debugging to disciplined, data-driven iteration. Engineers began each day reviewing fleet health trends and prioritizing issues based on real-world frequency instead of isolated support reports. Remote crash diagnostics reduced the need to reproduce issues on a desk, which shortened investigation cycles. Each release was measured against live deployment data, giving the team clear insight into performance changes and confidence in the next update.
Why Ultrahuman needed cloud-style observability for devices in the wild
Ultrahuman approached its connected devices with the same operational expectations as modern cloud infrastructure, where observability is foundational rather than optional. “I don’t know a single engineer who hasn’t implemented Datadog, or New Relic in their tech stack at some point. No one would deploy an application without observability. So why would you want hardware running in the dark? You need a Datadog for hardware, and that’s why you need Memfault.”
The impact of integrating nRF Cloud powered by Memfault, was measurable across both product quality and engineering velocity.
Ultrahuman reduced device replacements by 10x, bringing return rates down to a fraction of a percent. Firmware release cycles accelerated by 4x, allowing the team to iterate faster without increasing risk. Remote diagnostics also helped reduce battery drain by 10%, improving real-world device efficiency. Together, these gains translated into fewer disruptions for users and a more controlled, data-driven firmware operation at global scale.
Observability quickly became part of Ultrahuman’s daily engineering rhythm and release discipline. Vatsal notes, “The devs come in every day, they open the Memfault dashboard and check for issues or the Memfault Slack notifications might tell them something new has come up.”
How nRF Cloud bridges Nordic silicon and real-world device intelligence
For connected products built on Nordic chips, nRF Cloud, powered by Memfault’s technology extends device intelligence beyond the lab and into real-world deployment. It gives engineering teams direct visibility into how firmware performs across geographies, networks, and usage conditions without requiring custom infrastructure. This level of insight is essential when devices operate continuously at global scale.
In Ultrahuman’s case, that operational clarity shaped the product experience in subtle but important ways. As Vatsal reflects on the broader impact, “I think it’s the kind of experience that users feel. They feel they are being listened to, and that we are actively resolving issues. Despite being a young company without the resources of others we are able to be highly responsive.”
