Technology & IT
Technology companies ship often and to many markets. Language workflows need to keep pace with product releases while protecting terminology and user experience.
- Built around release cycles and resource files
- Glossary and product-name control
- Multilingual QA and AI language data support
Industry challenges
Why technology content needs a dedicated workflow
Technology companies release often, and language work has to keep up without slowing engineering down or degrading the user experience.
- 01
Continuous releases
New strings arrive every sprint. Localization has to fit into the release process rather than sit outside it.
- 02
Content inside code
UI text lives in resource files with placeholders, plurals and length limits that a plain translation can easily break.
- 03
Product names and UI terms
Feature names, menu labels and product terms need consistent handling, including what stays in English.
- 04
Volume with mixed risk
Support articles and release notes are high-volume. Legal terms and in-product messages are not. One approach does not fit both.
- 05
Context is often missing
Short strings are ambiguous without screens, notes or a reviewable build. Good localization depends on that context.
Content we typically work with
- Application UI strings
- Website and landing pages
- Help center and knowledge base
- Developer documentation
- API and SDK guides
- Release notes
- In-app messages and emails
- Marketing and product launch content
- Training and onboarding material
- Multilingual evaluation datasets
Use cases
Where language work matters
A few examples of how language services apply. Every project is shaped around your content, terminology and audience.
Software and app localization
UI strings, help content and in-context checks.
Developer and product documentation
Technical content translated with consistent terminology.
Support and knowledge base content
High-volume content suited to AI-assisted workflows with human review.
AI language data and evaluation
Multilingual evaluation and annotation for AI teams.
Relevant services
How our services apply to technology & it
- LocalizationSoftware, app and website localization with attention to formats, placeholders, length limits and in-context review where a build is available.View service
- AI Translation & MTPEHigh-volume support and documentation content is often well suited to machine translation followed by human post-editing.View service
- Linguistic QAMultilingual review of localized builds and content for terminology, consistency and linguistic defects before release.View service
- AI & Language ServicesMultilingual evaluation and annotation support for teams building or testing language-enabled products. Scope is defined per project, and a pilot is recommended.View service
Our approach
How we approach technology projects
A typical path for product and documentation content. Integration and release steps are agreed with your team.
- Step 1
Understand the product and the pipeline
We review file formats, how strings reach us, release cadence and who signs off on language.
- Step 2
Set up glossary and style
Product terms, tone and do-not-translate items are agreed and recorded before the first delivery.
- Step 3
Localize with the right mix of people and technology
Content is routed by risk. Lower-risk, high-volume text may use machine assistance with human review. Interface and legal text gets closer attention.
- Step 4
Check in context
Where a test build or screenshots are available, linguists review strings in context to catch truncation and meaning issues.
- Step 5
Deliver in your formats and feed back
Files are returned in the formats your team uses, and questions and terminology decisions carry over to the next release.
Quality assurance
Quality controls for product content
Controls are set per project and applied to every release.
Confidentiality and content handling
Client confidentiality and controlled handling of project content are considered throughout the delivery process. Specific security and data-handling requirements can be discussed during project onboarding.
Placeholder and tag integrity
Variables, tags and formatting markers are checked so localized files do not break the build.
Glossary compliance
Product and UI terms are checked against the approved glossary across strings and documentation.
In-context linguistic review
Where possible, text is reviewed on screen, not only in a spreadsheet.
Query log and decisions
Ambiguities are raised as queries and the answers are recorded, so the same question is not asked every release.
Points we plan for
- Continuous or agile release cycles
- Resource file formats and integrations
- Glossaries and product-name handling
Getting started
What helps us scope your project
You do not need everything on this list to enquire. The more we know, the more precise our recommendation and quotation can be.
- 1
Resource files or content exports in their native formats
- 2
A glossary, style guide or list of do-not-translate terms
- 3
Screenshots, a test build or staging access, where possible
- 4
Release cadence and who approves language
- 5
Target languages and any market-specific requirements
FAQ
Questions about technology & it language work
Which file formats can you work with?
Common software and content formats can usually be supported. Please share a sample with your enquiry so we can confirm handling and any integration needs.
Can you fit into our release cycle?
Recurring programs are planned around your release schedule, with turnaround and hand-off steps confirmed at scoping.
How do you handle product names and UI terms?
We agree a glossary and a do-not-translate list with you at the start and apply it across strings and documentation.
Do you support AI teams with multilingual data?
Multilingual evaluation and annotation support is available as a project-based service. Because requirements vary widely, we recommend a small pilot to agree scope and quality criteria first.
Can machine translation be used for our help content?
For high-volume, lower-risk content it often can, followed by human post-editing. In-product text and legal terms generally get more human involvement. We recommend an approach per content type.
Related industries
Other industries we support
Information & Content Services
High-volume multilingual content, data and knowledge workflows.
View industryLearning & Training
E-learning, training material, narration, subtitles and localization.
View industryEngineering & Manufacturing
Technical documentation, manuals, product content and industrial communication.
View industry
Shipping to more markets?
Tell us about your product, formats and release cadence. We'll suggest a localization workflow and prepare a quotation.