Founded in 2015 and based in San Francisco, Lilt offers an AI-powered, human-in-the-loop translation platform that combines an AI translation engine with translator tools (hotkeys, style guides, custom term bases) to translate marketing, support and e-commerce content. The AI engine is regularly trained on fresh data and translator feedback to make recommendations while human translators retain final control. The platform supports around 40 languages, provides APIs and connectors (Slack, WordPress, GitHub, Salesforce, Zendesk, Adobe Marketing Cloud), and tracks job progress and translator hours. Lilt counts customers including Intel, Emerson, Juniper Networks and Orca Security across education, crypto, technology, defense and intelligence sectors, and has a workforce of over 150 people. The company plans to use the new capital to expand R&D, its engineering teams and customer footprint, and to add sales teams to match production teams in each region. Financially, Lilt recently raised a $55M Series C, bringing total capital raised to $92.5M. Lilt provides an AI-powered solution that combines adaptive neural machine translation technology, an enterprise translation management system, and professional translators. Its platform is designed to help organizations scale translation programs, accelerate time-to-market, and improve the global customer experience. Customers include Fortune 500 companies like Intel, consumer brands such as ASICS, and technology companies including WalkMe, Sprinklr, DigitalOcean, and Canva. Led by CEO and co-founder Spence Green, the company has opened additional offices in Indianapolis and Dublin, Ireland. Lilt has raised $37.5M in total funding and recently closed a $25M Series B. The company intends to use the capital to further develop its enterprise translation software, research natural language processing technology, and accelerate its go-to-market strategy. Lilt provides an interactive, adaptive machine translation system that continuously learns in real time from human feedback. Its approach combines human skills and machine learning to increase translation speed by up to five times while maintaining quality and accuracy. The technology is designed to help businesses localize materials into foreign languages and accomplish strategic objectives. Lilt positioned the offering for enterprise customers and government use through a newly announced partnership. CEO Spence Green said the partnership will help the company better serve customers with higher-quality translations more quickly. Lilt develops an interactive, machine-assisted translation platform that learns from human input to boost translator productivity. The platform evolved from a 2014 research prototype called Predictive Translation Memory, and includes predictive typing, interactive adaptive machine translation, automatic tag placement, a built-in termbase and an API. Co-founded by John DeNero and Spence Green, who met while working on Google Translate in 2011, the company commercialized the research prototype into a production translation product. Lilt raised seed funding to support expansion of operations. The company intends to use the funds to continue expanding operations and scaling its platform. It is based in Palo Alto, CA.

Total raised

$82M

Funding rounds

4

Latest round

Series C

Latest activity

Apr 2022