DeepL unveiled two flagship innovations at its Dialogues conference: the general availability of DeepL Agent, an autonomous AI coworker designed to automate knowledge-work tasks with human oversight, and the Customization Hub, a platform that centralizes glossaries, style rules, and translation memories to enforce brand language and scale translation quality.

DeepL Agent integrates with CRM, email, calendars, knowledge hubs, and project management tools to handle tasks such as researching prospects, drafting outreach, scheduling follow-ups, resolving customer service issues, and coordinating marketing campaigns, all while prioritizing data security and privacy.

The company positions these products as part of a broader strategy to boost efficiency, cut manual reviews, and scale language operations without sacrificing accuracy, consistency, or data sovereignty.

DeepL reports more than 200,000 business customers worldwide using its translation software across more than 100 languages.

Investors valued DeepL at about $2 billion in a May 2024 funding round.

DeepL is expanding language coverage to over 100 languages, adding roughly 70 new languages in beta for enterprise customers, including all 24 official EU languages plus several Balkan, African, and Asia-Pacific languages.

Customization Hub consolidates glossaries, style guidelines, and approved translations to enforce brand voice, minimize post-editing, and accelerate translation quality and speed through context-aware rules.

The announcements emphasize centralized language requirements and automated workflows to deliver improved efficiency, consistency, and cost savings, freeing teams to focus on higher-impact work.

DeepL is a global AI product and research company with over 1,000 employees and more than 200,000 customers across 228 markets, backed by leading investors, and exploring future IPO options without concrete plans.

CEO Jarek Kutylowski frames the move as expanding translation foundations and enabling agentic AI to unlock human potential across languages and work domains.

This expansion marks DeepL’s entry into a broader AI tools arena alongside major tech players like Microsoft, Google, OpenAI, and SAP.

Industry context notes productivity challenges—frequent app-switching and data chasing—driving tool consolidation and automation to keep teams focused on high-impact work.