Overview
LILT combines multilingual AI technology with managed language services and expert verification. Its platform helps enterprises and public-sector organizations run translation programs and develop multilingual AI workflows.
What LILT does
LILT connects content systems, translation models and workflow agents so teams can launch and maintain multilingual content. Its contextual models and review tools support consistent terminology and the brand or subject-matter requirements of the organization.
The enterprise offering adds managed human expert verification, integrations, API access and deployment support. That combination allows a customer to use automation while retaining professional review for material requiring specialist language judgment.
The company also supports multilingual AI data and evaluation work. Its operating model therefore extends beyond a consumer translation interface: it combines platform infrastructure, language expertise and delivery around an organization’s program.
Differentiation
Compared with a translation app
LILT supports enterprise programs, connected content workflows and expert verification rather than only translating text entered by an individual user.
Compared with a traditional language-service handoff
Its models, integrations and agents carry context through the production process, with human review available within the managed enterprise offering.
Company details
LILT was co-founded by Spence Green and John DeNero, researchers with backgrounds at Stanford and Berkeley. They met while working on Google Translate.
Green leads the company as CEO; DeNero is Chief Scientist. Their language-technology background informs LILT’s combination of customized AI models, workflow automation and human review for enterprise multilingual programs.
- Headquarters
- San Francisco, California, United States
- Founded
- 2015
- Stage
- Series C
- Funding
- $140M+ total funding
