Faster Builds.
Lower Costs.
Better Development.
True engineering productivity starts with a development environment built for rapid iteration — where you can checkout code, build, and test quickly and efficiently.
AI tools accelerate development, but every other stage remains slow and inefficient for today’s massive device codebases. Checkouts span hundreds of gigabytes, builds take hours, and tests can drag on for days.
These stages are foundational — which is why we’re starting here: empowering developers, CI/CD systems, and AI agents with the speed and reliability to accelerate delivery and transform how device software is built and maintained.
10x Cheaper
Reduce compute requirements and cut infrastructure costs.
7x Efficiency
Achieve more, while using only a fraction of the usual resources.
9x Faster
Builds and checkouts that complete in minutes, not hours.
∞ Continuous
Ongoing software updates to keep devices compliant for longer.
Our AI-native development tools integrate seamlessly into the existing device development lifecycle to deliver high-quality, cost-effective software updates.
Introducing
SourceFS
Device codebases are slow to checkout and build and require massive storage. SourceFS changes that: the fastest, most efficient way to check out and build a device codebase.
9x faster Android builds through intelligent build caching.
Build times for Android 16
SourceFS is a high-performance virtual filesystem that makes Android checkouts and builds up to 10× faster. It works by virtualizing files and transparently recording individual build steps. When the same inputs and environment are detected, SourceFS replays those steps instantly — materializing files only when needed and automatically reusing prior results across the entire organization.
14x cheaper Android builds through efficient resources usage.
Compute costs for Android 16
SourceFS enables even standard compute nodes to perform builds and checkouts faster than the most powerful machines. A 16vCPU instance running SourceFS outperformed a 64vCPU machine by nearly 4× in build time and delivered up to 14× savings in compute costs. This translates to significant cost reductions for device organizations — or the ability to build and test far more with the same resources.