DeepL Unveils Autonomous AI Agent for Businesses
DeepL Agent is a multilingual, general-purpose AI tool that supports business functions across sales, finance, marketing, localisation, HR and more, helping teams work smarter and more efficiently.
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DeepL, a global AI product and research company, has unveiled DeepL Agent, an autonomous AI agent designed to streamline and automate a wide variety of knowledge worker tasks.
DeepL’s new solution applies its trusted strengths in quality, precision, and security to the growing agentic AI market. Built on the company’s expertise in language that supports enterprise workflows, the tool is now in beta and available through DeepL AI Labs, its hub for innovation and new projects.
“DeepL has always been a leader in AI innovation, driven by our commitment to cutting-edge research and scaling AI’s impact across businesses worldwide,” said Jarek Kutylowski, CEO and Founder, DeepL.
“For years, we’ve invested in understanding and solving complex language challenges with AI, which demand the highest levels of precision, context-awareness and security. This strong background in research gives us a natural advantage in the agentic space in building tools that can understand, reason and then act across a wide range of tasks.”
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“Which is why we’re excited to preview our latest product, DeepL Agent – an autonomous, secure AI agent designed to take on the time-consuming, repetitive tasks knowledge workers face every day,” added Jarek.
“Now in beta testing with some of our global customers, this is an exciting natural next step for DeepL in our mission to solve real-world challenges with purpose-built AI and is just the beginning of a tool that we believe will redefine how businesses operate.”
Building on DeepL’s experience in creating enterprise AI tools used by over 200,000 businesses worldwide, and its experience in language where accuracy, context, and security matter, DeepL Agent is a new autonomous AI for businesses.
It helps knowledge workers handle repetitive, time-consuming tasks across different functions, increasing capacity and productivity.
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The agent is built to operate entirely within each user’s digital environment, responding to natural language commands to carry out complex workflows safely and independently.
It does this by using virtual versions of standard tools, like a keyboard, browser and mouse, so it can act on the user’s behalf through existing interfaces. It can handle nearly any task a human can do with computer systems, moving seamlessly across users’ tools and workflows and continually improving its performance over time.
DeepL Agent is multilingual but built for more than just language tasks. It is a general-purpose tool designed to support many business functions and use cases, helping teams across sales, finance, marketing, localisation, HR, and others work more efficiently across the organisation.
For example, the agent can autonomously pull insights for sales teams, automate invoice processing for finance, or handle document translation and approvals for localisation teams.
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“Imagine having a super-efficient workplace assistant that understands your needs and can tackle any task you give it, whether that’s analysing a report or managing internal invoices, just by giving it simple directions like you would any colleague,” said Stefan Mesken, Chief Scientist, DeepL.
“That’s what DeepL Agent does. It’s made to understand you, so that you can just describe the actions you want it to take, and it will handle the rest. We’ve also built the agent to learn from existing interactions, so that over time its support will become even more personalised and attuned to each user’s needs and daily workflows.”
DeepL is focused on making sure DeepL Agent upholds the same enterprise-level quality and security the company is known for. The agent includes layered safeguards that give individual users, admins, team leads, and senior management direct control over how it is used and what it produces.
Features include task monitoring for real-time oversight, options to pause or review actions, and human-in-the-loop validation to maintain accuracy and informed decision-making.
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