The AI-first localization platform Razer already chose. Now scale it everywhere.
Razer chose LILT's AI-first workflow to move off human-only translation, and it already beat the Phrase trial on speed, cost, and fit. This is how you scale that win across all twenty teams: one adaptive platform that turns every edit into a smarter model, connects natively to Figma, Bitbucket, and your APIs, and handles software strings, Excel, and video in one place, so quality climbs and cost per word falls with every release.
Lex Asselta
Your Enterprise Account Executive
Samantha Bleakley
Your Customer Success Manager
Use cases
How Razer wins with LILT
AI-first, no human-only bottleneck
Move off human-only translation. LILT's adaptive models do the heavy lifting and you dial in human review only where brand and customer-facing content demand it.
Figma design content, round-trip
Send Figma frames straight into LILT and import translations back in place, reusing everything already translated so you only pay for new strings.
Software strings and developer content
Localize XML, XLIFF, JSON, and HTML from Bitbucket, GitHub, or your Oracle APIs, with custom filters for your do-not-translate tags.
Video and support content
Translate how-to and support videos with AI dubbing or verified subtitles, ready for YouTube and Bilibili across your markets.
One workspace for every file type
Excel glossaries with a source column and many target columns, PDFs, audio, and multimedia handled in one drag-and-drop workflow instead of hours of manual prep.
Scale across 20 teams with cost visibility
Give each department its own domain and models, with chargeback visibility on spend, so localization scales without losing control.
Built for scale, priced for control
Your models, your data
Razer's custom models are trained only on Razer content and never used to train public AI.
Quality that compounds
Word-prediction accuracy climbs with every edit; the English-to-Spanish model moved from 80% to 95% in months, cutting the human fixes needed per hundred words.
Predictable, lower total cost
No charge for 100% matches or internal repetitions, no rush fees, and instant translation for content that does not need a human touch.
Built to consolidate
One platform to replace SDL Trados, manual Excel, and point trials, with role-based access and enterprise governance.
CUSTOMER STORIES
Trusted across gaming, tech, and design
60%
Faster turnaround
Lenovo scales global content with custom AI
Lenovo cut translation costs by 50% and built 60+ custom models across content types, accelerating turnaround while keeping quality high.
Canva localizes design content at scale
Canva localizes fast-moving design and marketing content across markets while keeping brand voice consistent everywhere.
ChargePoint scales multilingual content globally
ChargePoint runs global content operations on one connected platform, launching in more markets without adding manual overhead.
One AI-native platform, not a static TMS
Razer trialed Phrase and found it slow and manual, two hours on a single Excel file. LILT is AI-native: proprietary models that adapt in real time from every edit, unlimited language reach, and built-in content generation, so quality improves instead of plateauing.
Contextual AI
First-party managed services
Language reach
Model training
Content generation
Quality assurance
Built for how Razer works
Your teams do not need another silo. LILT plugs into the tools Razer already runs, and reaches your Oracle systems and any API, plus the AI assistants your teams use via LILT MCP.
Figma
Localize all-fidelity designs directly in Figma with the LILT plugin, then import translations back in place.
Bitbucket
Send software strings from your Bitbucket repositories into LILT and back, with custom filters for your tags.
GitHub
Send files from your GitHub repos into LILT for translation, then sync the results back into your workflow.
