AI-powered localization with one-click GitHub install, native Git integration, and in-context editing for fast-shipping teams.
Prismy is a modern localization platform designed for fast-shipping teams. It offers one-click GitHub installation, high-quality AI translations, and an intuitive interface. Features include native Git integration, in-context editing via a Chrome extension, and workflows that enable collaboration between developers and non-developers. Trusted by companies like Maki, Shotgun, and Dashdoc, Prismy helps teams scale globally with minimal effort.
check_circleIn-context editing via Chrome extension
check_circleHuman review workflows
check_circleAutomatic synchronization
check_circleCLI and API available
check_circleIntercom integration
check_circleMulti-language support
check_circleCollaboration between developers and translators
Use Cases
lightbulbSoftware engineers deploy new features weekly and use Prismy's one-click GitHub integration to automatically sync translation files, eliminating manual file handling and reducing deployment time from days to minutes.
lightbulbProduct managers at global marketplaces manage translations across five languages using Prismy's AI translations and human review workflows, ensuring consistency and accuracy without developer intervention.
lightbulbCTOs of scaling startups save half a workday per week by automating translation synchronization and eliminating Git conflicts, allowing the engineering team to focus on core product development.
lightbulbLead product managers oversee localization for multiple languages, using Prismy's in-context editing Chrome extension to spot and fix wording issues directly on the live app, reducing turnaround time for corrections.
lightbulbNon-technical team members edit translations directly through Prismy's intuitive interface without touching code, enabling autonomous updates and reducing ping-pong communication with developers.
lightbulbCompanies expanding globally add new languages quickly with AI translations that understand business context, then refine quality through human review, scaling from 2 to 10 languages with minimal effort.
