A software company needed to validate 13 AI-driven editing features on Windows and macOS. With a tight 3-day release window and an insufficient in-house device pool, they had to check software compatibility across various RAM and GPU setups quickly.
Inside you will find how we:
- Run compatibility testing for resource-heavy AI features under tight deadlines
- Detected visual artifacts and segmentation errors across different graphics cards and RAM capacities
- Caught blocking and critical platform-specific defects before the public launch
- Supply developers with precise device logs and screen recordings to speed up debugging
Read the full case study to find out how the team logged 18 bugs and ensured a stable release in 72 hours.