DeepL debuts enterprise AI to enhance ROI & data security

DeepL, a global specialist in Language AI technology, has recently announced the launch of DeepL for Enterprise. This new service is tailored specifically to meet the increasing needs of organisations aiming to implement AI solutions, while ensuring they achieve meaningful returns on investment (ROI) and secure sensitive data. DeepL's platform is already utilised by over 100,000 businesses in more than 60 countries, including half of the Fortune 500 companies, for superior translation and writing capabilities.

DeepL for Enterprise introduces several new features designed to facilitate the adoption of AI across various sectors. The new service offers updated pricing and packaging, making AI tools more accessible to knowledge workers within organisations. Additionally, it includes personalisation capabilities, enabling enterprises to create custom glossaries that enhance consistency and standardisation of brand language. Critical enterprise security features and global deployment capabilities also form part of the new offering, making it easier for centralised IT teams to manage and roll out the technology.

David Parry-Jones, Chief Revenue Officer at DeepL, emphasised the importance of this new offering, stating: "Enterprise leaders are under pressure to define and execute AI strategies in a meaningful way that drives ROI for businesses, but they're facing a saturated market crowded with open source or generic models that may not fit their needs. DeepL's specialised Language AI platform, trusted by tens of thousands of organisations, addresses these challenges, helping businesses save time, cut costs, and grow." He also highlighted the necessity for compliance to safeguard sensitive business data and mitigate potential cybersecurity risks.

According to recent statistics, over 90% of enterprise AI decision-makers have solid plans to adopt generative AI (genAI) for both internal and customer-facing applications. Nearly half of them cite productivity gains as the primary goal, followed by greater innovation and cost efficiency. As the demand for value-driven AI solutions grows, the relevance of Language AI has surged. Investment in Language AI allows large organisations to remain competitive by enhancing operational efficiency, customer experiences, and seamless international expansion.

Since its inception, DeepL has positioned itself at the forefront of AI-based communication technology, offering solutions suited for various sectors including manufacturing, legal, retail, healthcare, technology, and professional services. Unlike generic AI systems, DeepL’s technology uses specialised AI models that are fine-tuned for language-specific applications, delivering more precise translations and reducing the risk of errors and misinformation. This level of accuracy is crucial in enterprise translation and writing, making DeepL’s platform one of the most trusted options for businesses worldwide.

The introduction of DeepL for Enterprise comes with impressive performance metrics. A 2024 study by Forrester revealed that using DeepL resulted in a 345% ROI for global enterprises, significantly reducing translation times by 90% and workload by 50%. The platform also adheres to stringent security measures to protect user data, including state-of-the-art data encryption, ISO 27001, and Soc2 Type 2 certification, ensuring compliance at scale.

DeepL's latest offering coincides with a period of substantial growth and heightened demand for its services. Recently, the company secured a USD $300 million investment at a USD $2 billion valuation, led by Index Ventures. Over the past year, DeepL's customer network has expanded to include over 100,000 businesses, governments, and organisations globally, with notable names such as Zendesk, Nikkei, and Coursera among them.

DeepL for Enterprise is currently available in all DeepL Pro markets. The company plans to showcase its new enterprise solution during an upcoming webinar series titled "AI in Practice," featuring industry practicioners from Forrester and PwC.