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Cambrionix launches platform for device testing labs

Cambrionix launches platform for device testing labs

Tue, 19th May 2026
Sofiah Nichole Salivio
SOFIAH NICHOLE SALIVIO News Editor

Cambrionix has launched a full-stack platform for large-scale real-device software testing labs, designed to increase testing throughput and centralise management of connected device fleets.

The launch marks a shift from selling standalone hardware to offering a service-based platform that combines high-density USB hardware, software, remote management and support.

The move comes as software teams face growing pressure to test more code across a wider range of devices. As AI tools speed up development and release cycles, quality assurance teams are being asked to validate software more often while still working within the limits of physical lab space, power and staff time.

Real-device testing remains important in operating system, firmware and app development because emulators and simulators cannot fully reproduce battery behaviour, thermal performance and connectivity conditions. As a result, lab infrastructure is becoming a bigger concern for engineering teams trying to maintain release schedules.

The platform is aimed at organisations running intensive test environments, including in-house device labs and cloud-based device fleets. Cambrionix, whose customers include Google, SpaceX, Snap and Uber, is also increasing its focus on the US market, particularly the San Francisco Bay Area and the wider West Coast.

Infrastructure strain

For lab managers, the challenge is not just the number of devices required, but the difficulty of keeping them connected, charged and available during long testing cycles. Unstable connections, inconsistent charging and the need for manual intervention can interrupt tests, force reruns and raise costs.

Cambrionix said the platform is built to increase output from existing infrastructure rather than requiring customers to add physical capacity. In benchmark testing, users were able to run up to three times as many tests on current infrastructure without adding devices, floor space or power, according to the company.

The system uses a Thunderbolt-enabled architecture that, Cambrionix said, gives each port dedicated bandwidth and stable connectivity under heavy workloads. It also includes power management designed to reduce failures linked to battery issues, alongside remote tools for central control of large device fleets.

The centralised model is intended to reduce hands-on work in test labs and improve consistency across environments where devices are often shared between teams. Cambrionix added that the overlap between OS, firmware and application testing is increasing pressure on shared infrastructure, making coordination more important.

The company began in OS-level testing, but has since expanded into large-scale app testing and now supports broader deployment models, including both on-site device labs and cloud-based testing environments.

Andy Jones, Chief Executive of Cambrionix, said software teams are facing a growing infrastructure challenge.

"AI is accelerating how quickly software can be built, but it hasn't changed the need to prove every release works in the real world. That's where the pressure is now building."

"Lab managers are being asked to run more tests, across more devices, without unlimited space, budget or engineering resources. The constraint isn't just development speed, but the infrastructure needed to validate software reliably at scale."

The company argues that testing infrastructure is becoming a bottleneck as development processes accelerate. While software automation has improved, the physical demands of running and maintaining large fleets of connected phones and other devices remain.

Jones said the impact of lab failures can be immediate for engineering teams working to deliver updates.

"If devices disconnect, lose power or require manual intervention, tests fail and engineers lose time. That directly impacts release cycles. We've built our solution to remove those constraints. It allows teams to increase throughput, improve reliability and reduce cost per test, so they can scale real-device testing without scaling their lab."