Phrase and Welocalize have entered a new phase of collaboration that brings agentic AI systems directly into one of the industry’s most widely used language technology platforms. The companies announced a strategic partnership that will embed Welocalize’s OPAL Platform natively within the Phrase Platform, creating a more unified, streamlined environment for enterprise teams managing multilingual content. 

The move comes at a time when organizations are seeking greater automation, higher quality, and more flexible workflows for global communication. Phrase, recently recognized as a leader in the first Forrester Wave for language technology, has been steadily expanding its capabilities in hyper-automation and personalization. This new integration deepens that approach by introducing OPAL’s enterprise-trained AI models directly into the platform. 

What the Integration Does 

At its core, the partnership blends two distinct areas of expertise. Phrase provides the overarching localization and workflow engine, while OPAL brings an agentic AI system built to translate, assess quality, and auto-edit content. 

OPAL has been in production with several enterprise clients over the past year and is designed to adapt to each organization’s linguistic environment. It is trained on an enterprise’s linguistic assets allowing the system to generate highly consistent multilingual output at speed. OPAL includes two product options: 

• OPAL Enable, which incorporates linguist-in-the-loop review 
• OPAL Automate, which supports fully automated, high-volume translation workflows 

By embedding these capabilities inside the Phrase Platform, customers can run faster end-to-end workflows through Phrase Orchestrator, complete with automated edits and AI-driven quality assessments. 

Why Agentic AI Matters for Enterprises 

A central focus of this collaboration is the use of agentic AI systems—technology that can make autonomous decisions within defined constraints. For global content teams, this means more adaptable translation workflows and the ability to scale without adding operational complexity. 

Phrase CEO Georg Ell points to the value these systems have already demonstrated for joint customers. He describes OPAL as “one of the most advanced customer-ready applications of agentic AI” the company has evaluated, emphasizing that an open ecosystem approach allows businesses to combine best-in-class tools rather than rely on a single, closed platform.  

How OPAL Fits into Existing Translation Workflows 

Because OPAL is trained on an enterprise’s own linguistic assets, it gives teams more control over brand voice and quality. It can boost linguist productivity for high-impact content or handle straight-through processing. This range of options makes it easier for organizations to match the right level of human involvement to the needs of each content type. 

Intuit, one of the companies using both systems, notes that the combination enables measurable cost savings and faster time to market. According to Zahid Hussain, Senior Software Engineering Manager, the pairing of OPAL’s AI post-editing and quality estimation with Phrase’s localization infrastructure provides a more transparent and efficient way to manage multilingual content at scale. 

A Step Toward a More Open Industry 

Both companies frame this partnership as part of a broader shift away from closed, “walled garden” models of language technology. Welocalize CEO Paul Carr underscores that an open architecture, where enterprises can combine tools and choose servicing partners, is ultimately more beneficial for customers. 

Initially, the integrated solution will be offered with Welocalize providing linguist-in-the-loop services. In a second phase, enterprises will have full flexibility to choose another language service provider if desired. 

As companies continue expanding into new markets and increasing the volume of content they produce, the combination of OPAL and Phrase offers a clearer path toward fast delivery, higher quality, and more sustainable localization operations without compromising control or customization.