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Translation quality, quantified.
Introducing: Translation Scoring: AI-Powered Translation Quality at Scale
 
🗓️ October 30th, 2025
🕝 11am ET | 4pm CET
📍 Live on Zoom
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Join the live webinar

Join us for an exclusive product update webinar showcasing our newest AI localization capabilities, especially Translation Scoring, currently available in beta to select customers but soon available to everyone.

In this live session, one of our product experts will walk you through how AI scoring works, how it integrates into your workflows, and how teams are already using it to cut costs, accelerate time-to-market, and boost translation quality — all without increasing headcount.

What you'll learn:
 
  • How Translation Scoring works: See a live demo of automated quality scoring in action, built on industry-standard Multidimensional Quality Metrics (MQM).
  • Real-world use cases: Learn how teams skip up to 80% of human reviews with AI Scoring, while maintaining quality.
  • Best practices for implementation: Discover how to tailor quality thresholds to your own standards and build automated review workflows that scale.
  • Tips to maximize impact: Learn how to leverage smart filtering to instantly surface only the strings that need human attention — and confidently publish the rest.
Why it matters:
 
Manual translation review is one of the most time-consuming and costly parts of localization. With AI-powered Translation Scoring, you can:
 
  • Slash review costs with automated quality scoring.
  • Accelerate delivery by instantly knowing which content is ready to ship.
  • Ensure consistent quality at scale without adding headcount.
Who should attend:
 
This session is designed for Localization Managers, Product and Engineering teams looking to streamline quality assurance and build scalable workflows.

Meet your speaker:
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Alesia Nikalaichyk
Product Manager on AIML at Lokalise
Alesia is a Product Manager at Lokalise, with 5+ years of localization expertise. Thanks to previously having worked as a Customer Success Manager, she has a deep understanding of Enterprise customer needs, which she now applies to shaping impactful product strategies and results.
 
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