In this episode of AI Navigators, we sit down with Sasho Savkov, Engineering Manager for the AI/ML team at Lokalise. With a PhD in clinical information extraction and nearly a decade building healthcare solutions, Sasho brings a unique perspective on what’s actually working versus what’s just noise. He challenges one of the biggest assumptions in AI today: that current single-shot learning approaches will lead us to human-level intelligence. His insights reveal why the missing piece isn’t more sophisticated models, but something much more fundamental. Watch the full interview below:

Rachel Wolff·Updated on September 9, 2025
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Localization ROI: how to build the business case

How to build the business case that turns localization from a line item into your highest-return growth lever. Your board wants growth from global markets. Your competitors are already there. And your localization team has the tools to deliver. So why is localization still stuck in the "cost center" conversation? It's a familiar tension. The data overwhelmingly shows that localization drives revenue — through discoverability, conversion, and loyalty. Yet in too many organization

May 22, 2026·Marta Puerto
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Which Brands Are Localizing Best?

You'd think speaking the same language would be enough. But when Apple—one of the most recognized brands on the planet—ranks dead last for localization in the UK, a native English-speaking market, it's clear that "going global" takes a lot more than translation. Lokalise surveyed 1,000 consumers across eight countries to find out which brands actually feel local, and here's what we found. Key takeaways McDonald's ran

Updated on May 13, 2026·Brittany Wolfe
AI tools for localization teams

7 AI tools your localization team needs to master in the GenAI era

GenAI isn’t just changing how translations are produced. It’s reshaping the entire localization workflow. Most teams didn’t build their workflows for this shift. They’re still relying on a mix of spreadsheets, standalone MT engines, and manual file handoffs. It’s familiar, and for a while, it worked. But it was never designed for the scale teams are dealing with now.

Updated on May 5, 2026·Mia Comic
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Localization audit trail: how to track, monitor, and govern translation changes

A translation changed, but no one knows who did it or when. The release is already live. What do you do? When multiple contributors work on the same project, there’s a good chance that strings get edited, approved, overwritten, or renamed. Without a clear localization audit trail, small changes turn into production issues, and tracking them down takes time you don’t have. This lack of visibility slows you down significantly. It makes troubleshooting harder, weakens accountability,

Updated on April 27, 2026·Mia Comic
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AI translation with glossary support: Deterministic terminology for LLMs

LLMs are fluent in generating outputs, but they're not faithful to your brand. When a general-purpose LLM translates your product UI into 15 languages, it doesn't know which terms are trademarked, which phrases have legal restrictions, or which features are deprecated. It makes a statistical guess. At scale, this guesswork can lead to major inconsistencies, compliance risks, and a post-editing overload. The challenge: AI models’ probabilistic outputs are not ideal

Updated on April 26, 2026·Shreelekha Singh
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The localization mistakes marketers wish they could take back

Your campaign killed it at home. Then you launched it in Brazil, and the tagline became a punchline. Sound familiar? Nearly 3 in 10 marketing and company leaders say it's happened to them, and the cleanup cost thousands of dollars. Lokalise surveyed 392 marketing and sales leaders who localize content across multiple countries and languages to find out what actually goes wrong, and what they'd do differently. What came back wasn't a polished post-mortem. It was an honest reckoning from

Updated on April 17, 2026·Brittany Wolfe
Localized Brands Are Winning AI Search

Localized brands are winning AI search

You're optimizing for AI search. But are you doing it in every language that matters? We surveyed 1,000 global marketing, SEO, and localization leaders and found that brands investing in localized content are already seeing stronger AI search visibility. Meanwhile, companies that haven't started optimizing say budget is the biggest thing holding them back. Here's what the data shows. Key takeaways 63% of global companies a

Updated on April 28, 2026·Brittany Wolfe
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Your AEO strategy is invisible to almost 80% of the world

What you'll learn in this article: Why AI answer engines have a built-in language bias — and what it means for your brand's global visibilityThe four signals that determine whether your brand gets cited in AI search resultsHow to build the content infrastructure that earns A

Updated on April 1, 2026·Victor Tejeda

Stop wasting time with manual localization tasks.

Launch global products days from now.

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