Unbabel raises $23 million from Microsoft, Salesforce, others to grow its machine-human translation platform


Above: Process of translating on a screen.

Unbabel, a machine translation platform that uses humans to verify translated content, has raised $23 million in a series B round of funding from Microsoft Ventures, Salesforce Ventures, Samsung Next, Scale Venture Partners, Notion Capital, Caixa Capital, and Funders Club.

Founded in 2013, Unbabel’s technology merges neural machine translation, natural language processing (NLP), and quality estimation algorithms to automate translations between more than 70 language combinations. Feeding into this is a global army of 55,000 human linguists who, while not necessarily professionally qualified translators, are vetted before acceptance onto the program.

Above: Founders: Vasco Pedro, Hugo Silva, Bruno Prezado, João Graça.

The system works in a sort of loop whereby the machines translate the text, humans refine it, machines check it over again, and then it “repeats until the translation is spot on,” according to a company spokesperson, while the system also works in real time. Unbabel claims this is what makes it “far more accurate” than other machine translation technologies, such as Google Translate.

Unbabel can be integrated with many content management systems, marketing tools, and CRM software, including WordPress, Salesforce, Zendesk, and MailChimp. It also boasts…

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Peter Bordes

Exec Chairman & Founder at oneQube
Exec Chairman & Founder of oneQube the leading audience development automation platfrom. Entrepreneur, top 100 most influential angel investors in social media who loves digital innovation, social media marketing. Adventure travel and fishing junkie.
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