AI-Powered Localization: Faster, Smarter, and More Scalable
By integrating AI into your localization strategy, you achieve cost savings, faster turnaround times, and superior quality, all while maintaining brand consistency across global markets.

Benefits
Cost Savings
Faster Turnaround Times
Superior Quality
Future-Proof Your Localization with AI
Opal is an advanced AI-powered translation workflow that seamlessly integrates machine translation (MT), large language models (LLMs), and human expertise. It offers a tailored, fit-for-purpose approach for each customer, ensuring optimal efficiency and quality in localization. Opal delivers measurable benefits:
Cost Efficiency
Reduces translation costs by minimizing human post-editing efforts.
Speed
Accelerates the translation process with rapid AI-driven workflow automation.
Scalability
Effortlessly handles large volumes of content, ensuring seamless localization at scale.
Quality
Maintains the same rigorous standards through precision-tuned AI and human validation.
Accuracy
Ensures that only high-quality translations that meet strict AI quality thresholds are approved without human review.
About opal
Introducing Opal
Opal consists of multiple AI-driven components designed to enhance the translation workflow.
1
Data Preparation
Proprietary data clean-up of linguistic assets to optimize AI-driven translations.
2
Machine Translation (MT)
Selects the best-fit MT engine for each type of content to ensure optimal translation results.
3
AI Post-Editing (AIPE)
Provides refined and improved MT output, including TM (Translation Memory) fuzzy matches.
4
Patented AI Quality Estimation (AIQE)
Identifies content based on a predefined quality threshold that can be locked to skip human post-editing.
5
Human Post Edit (HPE)
Content below the AI Quality Estimation (AIQE) threshold that requires human revision.

Start Leveraging AI-Driven Solutions
Transform Your Localization Workflow with Opal



Dan O’Brien
Erin Wynn
Chris Grebisz
Christy Conrad
Matt Grebisz
Siobhan Hanna
Kimberly Olson
Nicole Sheehan