LangOps is your operational framework for multilingual growth

LangOps, short for Language Operations, is a strategic approach to managing and optimizing translation and multilingual content.

It combines human expertise with the right tools and technology to drive international growth more efficiently — with faster time-to-market, optimized costs, reduced manual effort, and stable quality at scale.

Drawing on 20 years of experience and over 3,000 localization projects, we also offer value-added services such as consulting your team on tools and platforms, optimizing and storing content, and helping you test new markets.

Pre-translation content optimization means improving your source content to deliver higher translation quality and lower costs, especially when using MTPE (machine translation post-editing).

What exactly can be improved in the source text?

• Content profiling: adding categories to segments to guide AI models in applying the right tone of voice for each type of content
• MTPE-friendly language: simplifying phrasing to make AI translations faster, cheaper, and more accurate
• Cultural and linguistic refinement: recommendations from native-speaking linguists to address cultural nuances and refine your brand message for each audience
• Internationalization readiness: preparing your content for adaptation across markets

Building internationalization into your development process ensures your product or service can be adapted to different languages and regions without major engineering changes later on.

Skipping this step often leads to costly code rewrites, poor user experience, and delayed releases. We know how to prevent these issues — and we’ll gladly show you how.

• Cleaning up translation memories to remove outdated or inconsistent entries
• Checking glossaries for ambiguous or conflicting terminology
• Updating glossary definitions for clarity and accuracy
• Suggesting new terms as needed

We can also create glossaries, style guides, and guidelines from scratch — and help you keep them regularly updated.

Quality-based routing is the process of automatically evaluating and post-editing AI-generated translations to accelerate turnaround and optimize post-editing costs.

Each segment’s quality is assessed using automated tools. Only unapproved strings are sent to linguists for human post-editing, saving you both time and budget.

Learn more about our customized AI workflows and automated translation solutions on our dedicated pages.

Data annotation, or data labeling, means adding meaningful labels to raw data to give it context. Multilingual data annotation improves the accuracy and overall quality of AI-generated translations by helping models better understand linguistic nuances.

Learn more about our data labeling services here.