The key challenge facing companies developing embedded software: long wait times for developers

Long testing cycles

The huge burden of testing complex codebases and embedded components coming together means failures are found too late.

This causes repeated delays in delivery and huge stress on developers.

Inelastic hardware resources

Expensive devices that are testing at capacity means that developers wait for days to get their commits tested.

Adding new capacity implies going through yearly planning and budgeting exercise which means developers have to live through inefficent processes.

The above challenges have a direct impact on the delivery cycle time—while competition is releasing features over-the-wire every week, your developers are frustrated waiting for resources to be freed up to test their features.

Our productivity loss is about 30-40% every day. I log into see if my builds ran after I put my kids to bed. This is just frustrating.
Lead engineer on the dashboard team

Radically accelerate your delivery velocity

Optimize your hardware costs

Launchable’s Predictive Test Selection technology uses ML to predict which tests are likely to fail. Developers can use the subset to shorten test suites runtimes and/or shift-tests earlier in the development cycle.

This helps developers find failures fast, iterate faster and release software with high confidence—up to 5x faster. All this while using existing resources.

The Launchable Test Intelligence Platform also offers Test Insights to find inefficient test suites, and Test Notifications to speed up feedback to developers.

Launchable saves us 25% of resources on the mainline build while going faster.
Mo Johnson

Works with your existing tools, languages and processes

Results in weeks—no months-long DevOps transformations

The ML-based approach from Launchable means that it can work with existing languages and tools. Developers start seeing their dev cycles go faster withouth doing any changes to their processes.