Lilt is an enterprise AI translation platform combining interactive machine translation with human translators for high-quality localization.
Lilt pioneered interactive machine translation: translators work in an interface where the AI suggests translations that adapt in real time to every correction, continuously learning each customer’s terminology and style. The platform combines this technology with a global network of professional linguists, delivering managed localization at scale. Enterprise features include terminology management, quality estimation, workflow orchestration and integrations with CMS and product pipelines. It is built for companies with serious, ongoing localization programs.
Onboard your content streams and terminology, then route jobs through Lilt’s platform where human translators work with the adaptive MT interface. Monitor quality scores and turnaround, and integrate the API to automate content flow end to end.
Lilt is enterprise-priced (contact sales), with plans structured around translation volume, technology access and managed services.
Enterprises with continuous, high-volume localization needs across product, support and marketing content.
Lilt is an enterprise service; interested companies can request an evaluation to test quality on their own content before purchasing.
Yes. Lilt provides APIs and integrations for connecting localization workflows with content systems and development pipelines.
Compared with raw MT engines, Lilt adds adaptive learning and human quality control; compared with traditional agencies, it delivers faster turnaround with consistent terminology.
Lilt’s managed service and technology come at enterprise pricing â small translation volumes won’t justify it. For serious localization programs, its adaptive learning compounds quality gains over time.
Both â Lilt pairs interactive machine translation that adapts to human corrections with professional linguists in a managed workflow, blending the speed of MT with human quality assurance for enterprise-grade localization output at scale across large content volumes.
Yes. Terminology management and adaptive learning tune translations to your organization’s style and vocabulary over time, improving consistency with every project. Glossaries enforce approved terms across human and machine output, keeping large localization programs linguistically coherent.