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Idibon, a startup that has developed applications that make sense of text in scores of languages, has raised $5.5 million in new funding.

Following its launch in January, Idibon has attracted business from, Samsung, the United Nations, and some global consulting firms, among others. And the startup has worked with text from sources in more than 50 languages. Idibon is not satisfied, though. The new funding it’s announcing today should help it do much more business.

“We’re seeing a lot of just unmet demand,” Idibon chief executive and co-founder Rob Munro told VentureBeat in an interview.

Meanwhile other startups offering services for natural-language processing — like AlchemyAPI, Babel Street, Narrative Science, and Synapsify — have also picked up funding recently.

Oftentimes, homemade systems represent competition for Idibon, which came out with easy-to-use cloud-based applications at the beginning of this year.

The startup boasts of its ability to go into new languages within 48 hours. Before Samsung reached out, Idibon hadn’t worked with Korean.

“Within two weeks, our machine learning-based approaches were smarter in Korean analytics than any of the Korean-speaking vendors,” Munro said.

The Idibon team.

Above: The Idibon team.

Image Credit: Idibon

Idibon started in 2012. To date it has raised $6.9 million.

Altpoint Ventures, Khosla Ventures, and Morningside Ventures led the new round. Samsung and Inventec also participated.

A dozen people now work for the startup full-time in San Francisco, alongside 50 part-time analysts around the globe. The team should hit 30 full-timers within a year, Munro said.


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