DeepL Opens New York Tech Hub, Secures $300M Investment to Boost AI Language Solutions for U.S. Market

October 3, 2024
DeepL Opens New York Tech Hub, Secures $300M Investment to Boost AI Language Solutions for U.S. Market
  • The company has introduced significant innovations, including a smart glossary generator and a next-generation large language model that outperforms competitors in translation quality.

  • The New York office is designed to support DeepL's growing network of US business customers, including partnerships with half of the Fortune 500 companies.

  • As part of its C-suite expansion, DeepL has appointed Sebastian Enderlein as Chief Technology Officer and Steve Rotter as Chief Marketing Officer.

  • DeepL has launched its first US-based technology hub in New York City, aimed at accelerating research and product development to meet the growing demand for its AI-driven language solutions.

  • The company plans to double the size of the New York hub within the next year to enhance its competitiveness in the US market, which has become its third-largest.

  • Since its founding in 2017, DeepL has rapidly expanded, now serving over 100,000 businesses and organizations globally.

  • Recently, DeepL was named to Forbes' 2024 Cloud 100 list and secured a $300 million investment, bringing its valuation to $2 billion.

  • Enderlein brings valuable experience from companies like Uber and Salesforce, which will enhance DeepL's technological capabilities.

  • Rotter aims to leverage data-driven marketing strategies to improve brand engagement, drawing from his background at Adobe and Motorola.

  • Rotter has emphasized the importance of overcoming language barriers for business growth and brand clarity.

  • CEO Jarek Kutylowski highlighted that the new hub positions the company closer to its customers, driving product innovation and enhancing customer engagement.

  • Enderlein reiterated DeepL's mission to tackle real-world challenges, particularly addressing language barriers in business.

Summary based on 2 sources


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