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wxrks suggests. We decide.
wxrks drafts with AI. A dedicated Localization Squad reviews every suggestion, decides what ships and makes the next release better.
No pitch: a practical conversation about your wxrks setup.
Already on wxrks? See how we start.
ISO 9001 and ISO/IEC 27001 certified (LRQA).
wxrks is a solid base. A Localization Squad builds on it.
On wxrks, the hard part is deciding what Context Sensitive Translate and Smells are allowed to trust. Glossary, translation memory and style instructions have to be switched on, or the checks ignore them. And the warning in the editor is not the same call as the batch quality score. A Localization Squad gives your localization team room to adapt: we design and run tests, evaluate what to keep, and implement it.
- Your wxrks, your control. We work in your wxrks account, or in Beluga's own wxrks account when that fits your setup better. Either way, the work stays in wxrks projects your team can see and control.
- Checks that use your assets. Glossary, memory and style instructions switched on and tested, so Smells checks what you actually agreed.
- Your cadence. Continuous or per release.
- Names, not a queue. You see who works on your account, language by language.
What a Localization Squad brings to your wxrks setup
A Localization Squad is a stable team that keeps product and account knowledge across releases, so no delivery starts from zero. You get the continuity of an in-house team without hiring one. On wxrks, it covers:
- String translation: with the same linguists across releases, working in wxrks
- Reviews: by reviewers per language who know your product
- LQA: when the release needs it, on the live product or in context
- Terminology: kept current in wxrks
- Project management: beside your localization lead, with queries closed where they started
- Process consultancy: on workflows, steps and who decides what
- Governance: of quality and AI use, with AI and MT matched to content risk and business impact
- Implementation: of the Squad and the workflows you keep in wxrks: setup, tests and handoff
What wxrks provides, and what Beluga adds
| What wxrks provides | What Beluga adds | |
|---|---|---|
| Translation operating system | An AI translation operating system and TMS for project, cost, quality, vendor, knowledge and workflow management (wxrks's terms) | A Localization Squad working inside your wxrks projects, with the same people across releases |
| Contextual translation | Context Sensitive Translate: translation memory, MT and glossaries in one contextual feed (wxrks's terms) | Assets set up so the feed uses them, and specialist post-editing where judgment matters |
| Semantic QA | Smells: runtime semantic checks (wxrks's terms) | Tests of what Smells is allowed to trust, LQA per language, and a clear line between the editor warning and the batch score |
| Automation | API-first, with Augmented Translation for linguists and localization managers (wxrks's terms) | Governance of what is automated, plus implementation and handoff |
| People | The platform | Specialist linguists, reviewers, project management and process consultancy beside your localization lead |
From AI suggestions to better localization decisions
AI can accelerate translation and flag potential quality issues. The real value comes from knowing what to do with those results.
Our Localization Squads help turn AI-assisted workflows into a continuous learning process:
- Evaluate: Assess AI-generated translations and quality findings against your terminology, style, context, and intended audience.
- Decide: Identify which issues require specialist intervention, which warnings are unnecessary, and where automation is appropriate.
- Improve: Feed relevant corrections and recurring issues back into translation memories, glossaries, instructions, and review workflows.
The goal isn't to review everything manually. It's to make human expertise count where it has the greatest impact, while building a more consistent and efficient localization process over time.
How we start
- Talk. A call about your wxrks setup, your languages, your release rhythm and what isn't working. Book it here.
- Access. You give us the access the work needs in your wxrks projects, or we agree to run vendor delivery through Beluga's account. You keep control of your organization and settings.
- Set up. We build your Squad per language, load or clean up terminology, memories and style guides, and agree with you how AI and MT are matched to content risk and business impact.
- Start with a small pilot. We start within a few days, on a small pilot on live wxrks work, so you can judge the quality and the way we work before anything grows.
- Run and improve. The same team takes every release. LQA findings and your feedback go back into terminology, instructions and workflow for the next cycle.
Why teams work with Beluga
- Specialists, with AI in the right place. Every expert is human. That doesn't mean every human is an expert. Our translators, linguists, terminologists and project managers bring the judgment that AI and per-word checks lack, in the gray areas where content goes wrong. We are a specialist service provider, not an AI company.
- Smarter use of your localization budget. Not every piece of content needs the same level of human intervention. We help you find the right balance between AI, machine translation, specialist review, and quality assurance, so you can invest your localization budget where it matters most.
- Continuity is a quality system. A stable team keeps your product, terminology and stakeholder knowledge, and surfaces problems before they reach the live product.
- You see how it works. Your localization team works directly with Beluga, never through a third-party vendor. You see who works on your account, how decisions are made, and where risks sit.
- We work in your wxrks setup as it is. You don't change tools for us.
- Nearly two decades of localization experience, turned into a way of working for product teams that ship continuously.
- Well-paid freelancers. Specialists stay when the work is fair, and continuity starts there.
Already in wxrks. Beluga already delivers localization work inside wxrks. We trained over 100 localization professionals on best practice in wxrks, so our staffing matches how wxrks teams work day to day. You keep wxrks, and a Localization Squad works inside your projects with you.
Work we've done and how we're certified
- Hyperconnect. About 20 languages: first European expansion, then the Asian and Middle East languages, as continuous localization. Read the Hyperconnect case study.
- Infobip. A partnership model where Infobip manages its translators directly and Beluga selects, trains and onboards the linguists, coordinates the work and keeps a contingency plan, so new features ship in every language at once. Read the Infobip case study.
- Training on wxrks. Over 100 localization professionals trained on best practice in wxrks.
- ISO 9001:2015 and ISO/IEC 27001:2022, certified by LRQA.
- Capacity. Senior project managers who run teams of about 50 freelancers when a program needs it.
See it in action
Watch Jan's conversation on what AI changes in localization operations, and where people still make the call.
Also watch: Bureau Works 2025: Features That Fix Localization Ops
Read the blog post: The TMS Didn't Die. It Grew Up.
Considering wxrks, or switching into it?
Already on wxrks, evaluating it, or leaving another TMS? Talk to us before you talk to the vendor's sales rep.
We already deliver work inside wxrks. We give you user-to-user feedback on fit. If wxrks is the right move, we introduce you as a Beluga lead, so the handoff is warm and you keep control of the relationship. If you are leaving another stack, we help you check whether wxrks, and how Beluga would staff it, matches how your localization team works.
FAQ
What's the difference between wxrks and Beluga?
wxrks describes itself as an AI translation operating system and a TMS for project, cost, quality, vendor, knowledge and workflow management in one stack. Its Context Sensitive Translate feature blends translation memory, machine translation and glossaries into one contextual feed, and Smells adds semantic QA at runtime. wxrks is the platform; Beluga is the team inside it.
Want to explore it yourself? wxrks · Context Sensitive Translate
Do we have to hand over our wxrks account?
No. You keep your wxrks account, settings and data.
Can Beluga work with our existing translators and localization team?
Absolutely. We can complement your existing team with specialist linguists, reviewers, project management, or quality assurance.
Who do we talk to day to day?
Your localization lead works with a Beluga project manager who knows your account.
Will we see who works on our content?
Yes. You see the names of the people on your account, language by language, and the same people stay across releases.
Can we scale our Localization Squad as our localization needs change?
Yes. We can adapt the size and composition of your Localization Squad while maintaining continuity with your core team.
How do we start, and how long does it take?
Start with a small pilot. After a call and access to your projects, we start within a few days.
Do you use AI and machine translation?
Yes, in the right place. We test what wxrks's AI does on your content and put specialists where judgment matters.
How do you use AI while maintaining translation quality?
We assess content requirements, context, and business impact before defining the appropriate level of AI assistance and human review.
Does wxrks automated QA replace human review?
No. Automated quality checks can help identify potential issues, but our reviewers evaluate findings in context.
What languages do you cover?
Tell us your markets on the call. Our proof spans languages across Europe, Asia, the Middle East and the Americas.
Still have questions?
Tell us how your wxrks setup runs today and where it hurts. We'll tell you honestly whether a Localization Squad helps.
Need localization support in wxrks?
Already using wxrks and looking for specialist linguists, reviewers, or project management? Tell us about your languages, content, and workflow requirements, and we'll outline how Beluga could help.
After our initial conversation, we'll recommend a practical approach, outline the services your team needs, and provide a clear proposal covering scope, timelines, and costs.