Unbabel, which combines human and machine translation for 70+ languages, raises $23M Series B from Microsoft Ventures, Salesforce Ventures, Samsung, others
Context & Ripple Effects
This 2018 round was the early marker in what became a funded race for hybrid human-plus-machine translation: Unbabel's $60M Series C a year and a half later confirmed traction with Microsoft and Facebook as clients, while Lilt followed the same playbook from its own $25M Series B to a $55M Series C.
What distinguishes this raise is the investor list: Microsoft Ventures and Salesforce Ventures are the corporate arms of companies that buy translation at scale, so the round doubles as distribution — capital and potential enterprise channels arriving together, ahead of Smartling's later $160M growth round that showed how large the category could get.
First-order effects
- Unbabel gets capital to scale its human-edited machine translation across its 70+ languages, with Microsoft Ventures and Salesforce Ventures now holding stakes that align them as prospective customers as much as investors.
Second-order effects
- Rival Lilt's identical structure — human translators plus AI, backed by Intel Capital and Sequoia — forces the market into a funding arms race, culminating in Smartling's much larger $160M raise that resets the bar for what a translation platform needs to compete.
Third-order effects
- If the pattern holds, enterprise localization consolidates around venture-backed AI-assisted platforms rather than agencies or standalone tools, with corporate strategics like Microsoft, Salesforce, and Samsung using minority stakes to secure supply of multilingual content capability.
The trend: Business translation is shifting from agency services to VC-funded hybrid human-AI platforms, with corporate investors doubling as anchor customers.