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Founded Year



Series C | Alive

Total Raised


Last Raised

$60M | 3 yrs ago

About Unbabel

Unbabel enables modern enterprises to serve customers in their native languages, with always-on, scalable translation across digital channels. Powered by AI and refined by a global community of translators, Unbabel combines the speed and scale of machine translation with the authenticity from a native speaker.

Unbabel Headquarters Location

301 Howard Street Suite 830

San Francisco, California, 94105,

United States

Unbabel's Product Videos

ESPs containing Unbabel

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Consumer & Retail / Digital Engagement

Platforms in this market support customer service agents with conversation review tools, smart suggestions, live translation, quality assurance, and online session replays, among other agent-centric solutions.

Unbabel named as Leader among 14 other companies, including Calabrio,, and Cyara.

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Unbabel's Products & Differentiation

See Unbabel's products and how their products differentiate from alternatives and competitors

  • LangOps Platform

    Unbabel’s AI-powered language operations platform enables global organizations to communicate with their customers in any language. By combining the efficiency of augmented machine translation (MT) with the fluency of native-speaking editors, Unbabel delivers high-quality, near real-time translations. Unbabel easily plugs into the most popular CRMs and chat platforms to seamlessly deliver translations within existing workflows across digital support channels like chat, email, and FAQs. All of this is managed through the Portal, where customers can control translation flows, monitor key metrics like speed or quality, and perform other tasks to operationalize the use of different languages across their business.


    Unbabel’s LangOps Platform is the only solution specifically adapted to the customer service domain, uses Quality Technology, and is supported by quality improvement processes. 

    Unbabel deploys MT engines trained solely on customer service data, making our translations far more adapted to domain tone and style. 

    With our Quality Estimation engine, translation quality scores are predicted before sending the low scores to humans for post-editing. 

    Repetitive messages are automated, the instant replies improving the customer experience, while uncommon queries receive critical input from a human reviewer. 

    Unbabel LangOps spearheads the quality improvement process, proactively resolving quality issues, retraining MT engines, managing customer glossaries, and ensuring Editors are performing up to stand… 

Research containing Unbabel

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Unbabel in 4 CB Insights research briefs, most recently on May 3, 2022.

Expert Collections containing Unbabel

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Unbabel is included in 4 Expert Collections, including Digital Health.


Digital Health

8,838 items

Startups recreating how healthcare is delivered


AI 100

100 items


Artificial Intelligence

9,391 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Customer Service Tech

984 items

Companies offering technology-driven solutions for brands and retailers to enable customer service before, during, and after in-store and online shopping.

Unbabel Patents

Unbabel has filed 1 patent.

The 3 most popular patent topics include:

  • Computational linguistics
  • Evaluation of machine translation
  • Machine translation
patents chart

Application Date

Grant Date


Related Topics



Machine translation, Computational linguistics, Natural language processing, Translation, Evaluation of machine translation


Application Date


Grant Date


Related Topics

Machine translation, Computational linguistics, Natural language processing, Translation, Evaluation of machine translation



Latest Unbabel News

Global Trends in Marketing Localization for 2023 [Sponsored]

Sep 26, 2022

Provided by Unbabel Global marketers are being swept by an endless tsunami of content shared across more channels than ever: website copy, product listings, e-books, paid promotions, white papers, videos, and more. The pressure to deliver on-brand content at speed and scale has never been higher. On top of meeting this increased demand, international brands face the additional challenges of translating those assets into multiple languages and adapting them for multiple targeted audiences – all without sacrificing turnaround times or the quality needed to engage and convert customers. With this in mind, Unbabel surveyed over 1,600 global marketers across eight countries to understand how they overcome the challenges of localizing content across cultures and scaling their business success internationally. Key topics and trends we explored are: How do global brands keep pace with the ever-increasing demand for multilingual content across more and more channels? Can they get their content out to international markets fast enough? Are they achieving the quality necessary to convert users? Are their processes and technologies set up to scale into additional languages and new markets? Is their investment in localization paying off, and how does that impact their broader business goals? Our  survey  uncovered six pivotal trends about the future of content localization: Marketers are investing in translation and localization Marketers are embracing machine translation, and it’s delivering the quality they need Translation quality is the number one challenge for marketers Highly manual localization processes are affecting quality for marketers Localization is driving revenue growth and other business goals Companies in the early stages of Language Operations are seeing higher-quality results. Enjoy a sneak peek below of two key trends revealed in our survey: Overview and audience breakdown Criteria: Marketers who are: Already translating content into a minimum of three languages From a wide range of marketing disciplines, including Content, Digital, Brand and Creative, Demand Gen, Email, ABM, Field, and PR & Communications Working for companies with a minimum of 300 employees Spread across a variety of levels of seniority, notably C-Level (17%), Senior Manager / Leadership (22%), and Founder / Owner (8%). 1. Marketers are investing in translation and localization It’s a good time to be a global marketer: Unbabel discovered that 84% of respondents say that localizing content has had a moderately positive or extremely positive impact on revenue growth. It should come as no surprise that they’re investing more in language to meet business goals: 89% said they plan to translate into additional languages within the next year, 13% of which plan to translate into nine or more. And they’re not just reporting it – global marketers are putting their money where their mouth is: 75% of participants say their translation spend has been trending upwards or is roughly stable. Many are investing their efforts in top-of-the-funnel (ToFu) content such as paid ads (46%), email (41%), blogs, eBooks, and white papers (42%). In particular, a strong trend toward localizing SEO is also emerging: 41% say they’re localizing SEO for all their markets, while another 40% are localizing SEO for some markets they serve. Why? Well, there’s little point in creating engaging content if customers can’t find it. One survey participant offered this advice: “Don’t approach localization as a one-off. Have a strategy for which markets require localization and which elements are to be localized. And then budget and plan accordingly.” In addition, we learned that many are also adapting their imagery (48%), specific brand terminology (47%), and brand tone of voice (36%) for other markets. With the findings demonstrating a clear correlation between localization and ROI, it’s not surprising that global marketers are planning to translate into more languages and are launching a wider variety of content across more channels and markets. But what approaches are they using to overcome these challenges and accelerate their international growth as they scale? 2. Global marketers are embracing machine translation, and it’s delivering the quality they need Machine translation (MT) has traditionally delivered cost and time savings. Yet, in the past, those two benefits often came at the expense of quality. As we know, quality is key for marketing content, which needs to convert customers while meeting style guidelines. Our survey findings support a major shift toward marketers embracing MT as part of their localization strategy and that it’s delivering the quality they need. This shift is likely driven by two things: Huge improvements in the quality of MT output now make it viable for more creative marketing content The need to find approaches that work as brands look to scale into new markets and languages Thirty-nine percent of marketers said they are using machine translation as part of their localization strategy. And 83% of those who use machine translation are confident in the quality of their translations. The  machine translation global market  increased by 124% over the past five years – from a $450 million market in 2017 to a $1.1 billion market in 2022, with steady year-over-year growth. This rise in quality, as well as MT’s ability to deliver content at speed and scale, explains its growing momentum among marketers. And it’s not just large enterprises that are investing in MT technology. We found the percentage of companies using MT is distributed evenly across all organization sizes. 301-500 employees (38%) 5,000+ (40%) Certain industries are leaning into MT tools more than others. For example, our survey revealed that the manufacturing industry is a top adopter, with 49% harnessing its power for highly technical content. Following closely on manufacturing’s heels, 47% of respondents from the software/technology/electronics and retail industries employ MT’s scalability to keep up with their high growth and consumer demands. A survey participant offered this advice: The best thing you can do is make sure you have the right processes and tools for the job.” Localization challenges, opportunities, and low-hanging fruit The pressure is on, and global brands must deliver first-class multilingual experiences to compete in international markets. It often falls on marketers to lead the advance, adapting their brand for new audiences or valued customers. And the challenges can quickly multiply for marketers as their business expands into new markets, leading to one pressing question: How do they deliver multilingual content at the right quality to convert customers across all their channels? The good news, there is a solution, and the global marketers we surveyed are paving the way with their learnings and successes. About Unbabel Unbabel removes the language barrier by scaling customer service operations, reducing cost, and managing growth to create world-class customer experiences. The company’s Language Operations platform blends advanced artificial intelligence with humans in the loop for fast, efficient, high-quality translations that get smarter over time. Unbabel helps enterprises grow into new global markets and builds customer trust by creating more consistent, high-quality multilingual customer experiences across marketing and customer service. Based in San Francisco, Calif., Unbabel works with leading brands such as, Nestlé, Panasonic, Patagonia, and UPS, to communicate effortlessly with customers around the world, no matter what language they speak. Unpack more pivotal trends and the three pillars of quality multilingual experiences at scale by downloading our report, Global Trends in Marketing Localization 2023 . Author: Phill Brougham Phill Brougham is the Director of Product Marketing at Unbabel, an AI-powered Language Operations platform. An accomplished marketing leader, Phill has spent the last five years leading product innovation at SaaS businesses, applying his expertise in artificial intelligence to help solve real-world business and productivity problems. Phill’s experience spans sales, business development, and product marketing. His focus has remained on translating technological capability into clear, understandable value.

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Unbabel Rank

  • When was Unbabel founded?

    Unbabel was founded in 2013.

  • Where is Unbabel's headquarters?

    Unbabel's headquarters is located at 301 Howard Street, San Francisco.

  • What is Unbabel's latest funding round?

    Unbabel's latest funding round is Series C.

  • How much did Unbabel raise?

    Unbabel raised a total of $89.7M.

  • Who are the investors of Unbabel?

    Investors of Unbabel include Caixa Capital, Faber Ventures, Notion Capital, M12, Scale Venture Partners and 28 more.

  • Who are Unbabel's competitors?

    Competitors of Unbabel include i2x,, Lilt, Cresta, Cyara, Language I/O, Cogito, lokalise, Smartling, Intradiem and 37 more.

  • What products does Unbabel offer?

    Unbabel's products include LangOps Platform.

  • Who are Unbabel's customers?

    Customers of Unbabel include Microsoft and Tile .

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