Documentation-driven pipelines that re-tooled Wear OS and Android teams
Wear OS documentation had sprawled across dozens of Android teams — each maintaining their own dependencies, conventions and tooling. At that scale, keeping everything consistent was a full-time coordination problem nobody owned. We built automated pipelines that reconfigured how those teams depend on documentation, turning docs into a build-time source of truth engineering could rely on. The shift cut repetitive manual work, freed up headcount, and expanded their generative-AI pipeline across the org.
A global, multi-country hiring support system that cut vendor churn
Supporting hiring across multiple countries meant orchestrating a sprawling vendor network — and constant turnover kept disrupting delivery at a scale few partners could absorb. We stood up a global support system and operating model that stabilised those vendor relationships, cut churn, and gave their teams consistent, around-the-clock coverage across every region.
A full production site shipped in 48 hours — with AI maintenance built in
Edge had a three-month runway for a new site and were about to hire two more people just to hit the deadline. We compressed all of it: the complete production build shipped in 48 hours, AI pipelines wired in for ongoing maintenance, their internal tech team restructured, and a dedicated task team stood up to close the business gaps that were holding them back.
Software simulation of real hardware so the lab could test and optimise
NI's hardware validation was bottlenecked by scarce, expensive physical devices — every test competed for a bench, and R&D throughput suffered for it. We built software simulations of real hardware across multiple devices, giving the lab the ability to test, reproduce and optimise in parallel, long before anything ever hit physical hardware.
These are a handful of the 250+ projects we've shipped since 2014. Due to NDAs, a lot of our largest engagements can't be discussed publicly — but there are many more like these, across far bigger teams and budgets than this page can show.