Lilt
by Lilt, Inc.
Lilt is an enterprise translation platform combining machine translation, human linguists, workflow automation, and APIs. It supports localization teams translating websites, software, documents, and customer content.
Why Abandoned
Lilt’s official website is live and presents its translation platform and services; the company also published a 2025 announcement about a U.S. government contract.
💵 Pricing & access
- Pricing model
- Not documented
- Starting at
- Not documented
- Official site
- Visit Lilt →
🩺 Health Signals
- HTTP Status
- 200
- Response
- —
- SSL
- —
- Confidence
- 96%
- Domain expires
- —
- Last content change
- —
- Last tweet
- —
- API status
- —
📅 Timeline
Lilt founded
Spence Green and John DeNero founded Lilt in 2015 to develop adaptive machine translation technology for professional translators.
Series A funding announced
Lilt announced an $9.5 million Series A led by Sequoia Capital, with participation from Redpoint Ventures, Zetta Venture Partners, and XSeed Capital.
Series B funding announced
Lilt announced a $25 million Series B led by Intel Capital, alongside existing investors including Sequoia Capital, Redpoint Ventures, and Zetta Venture Partners.
Series C funding announced
Lilt announced a $55 million Series C led by Four Rivers, with participation from new and existing investors.
Pentagon translation contract announced
Lilt announced a contract with the U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office to provide AI-powered translation capabilities.
🔄 Alternatives to Lilt
DeepL Translator
🟢ActiveDeepL Translator is a neural machine translation service from DeepL SE. It translates typed text, documents, and supported websites across multiple languages through web, desktop, mobile, browser, and API products.
Google Translate
🟢ActiveGoogle Translate is a multilingual machine-translation service for translating text, documents, websites, images, handwriting, and speech. It is available on the web and through mobile apps and developer APIs.
Naver Papago
🟢ActiveNaver Papago is a neural machine translation service from South Korea's Naver. Its web and mobile apps translate text, speech, images, documents, websites, and conversations across supported languages.
SYSTRAN Translate
🟢ActiveSYSTRAN Translate is a web-based machine translation service from SYSTRAN. It provides automatic text and document translation, while SYSTRAN also sells enterprise translation software and APIs.
🪦 Other dead Translation tools
Skype Translator
🔴Shutdown / DeadSkype Translator was Microsoft’s speech and text translation feature for Skype calls and chats. It provided live translated captions and machine-translated instant messages across supported languages.
Transifex
🟡Acquired / MergedTransifex is a cloud localization platform for managing software, website, and digital-content translation. It combines translation workflows, team collaboration, integrations, translation memory, and AI-assisted automation.
❓ Frequently Asked Questions
What is Lilt AI translation software?
Lilt is an enterprise translation and localization platform that combines machine translation, professional linguists, workflow tools, and integrations for translating digital and document content.
How does Lilt translation work?
Lilt uses machine translation and terminology resources to assist translation, while human linguists review and refine output. Its platform also manages projects, quality controls, integrations, and delivery workflows.
Is Lilt still active?
Yes. Lilt’s website remains operational, and the company announced new business activity in 2025, including a U.S. Department of Defense translation contract.
Who founded Lilt?
Lilt was founded in 2015 by Spence Green and John DeNero, whose work drew on research in machine translation and human-computer interaction.
What are the best alternatives to Lilt?
Catalogue-listed alternatives include DeepL Translator and Google Translate for general machine translation, SYSTRAN Translate for business translation, and Naver Papago for multilingual consumer translation.