Your terminology, approved phrasing, and years of decisions about how you describe products in every market sit in a supplier's system or finished documents — unavailable to the tools your teams are building.
The problem
Ten years of commissioned translation leaves you with ten years of files. That's an archive — readable one at a time, searchable badly, impossible to compute on. Ownership without access isn't ownership of anything useful.
Even the translation memory you're contractually owed is a file you request, in a format you'd need software to open, containing whatever one supplier happened to log.
This mattered less when translation was a thing you ordered. It matters now, because your teams are building things that generate: internal assistants, support bots, and documentation pipelines.
The work being outside is why the data is outside. And the data is the part that compounds.
What changes
Terminology, memory, and approval history as structured data in an environment you control — reachable by your systems, not just by a supplier.
Through MCP, AI tools retrieve approved terminology at the moment they write, so content is produced correctly rather than corrected afterwards.
Add an approved term, reject one, or check what a market decided conversationally from the agent your team already uses.
Request a release note in fourteen markets and get your phrasing, resolved against your memory and terms.
A terminology service, support bot, or future application starts from an endpoint rather than a folder.
Query approved and rejected terms, the market that rejected them, and when — institutional memory that otherwise lives in one translator's head.
Query across languages to find the same product described inconsistently.
Ownership
An evidence-based guide covering ownership, AI processing, portability, deletion practices, GDPR, and the EU Data Act — with a downloadable industry research paper.
Ownership and security
Your agency, reviewers, and vendors can work inside your tenant under access you grant and can withdraw. Assets export in TBX, TMX, and CSV whenever you ask.
Language assets are isolated to your environment — not pooled across clients and not used to train public models.
Translators, reviewers, and outside vendors work under permissions you grant and can revoke.
Export terminology, translation memory, and structured language data in TBX, TMX, and CSV.
Comparison
The translation itself can look similar. What it leaves behind is different.
Structured terminology, memory, and approval history accumulate in your environment.
You receive files. TextUnited leaves reusable language data your systems can query.
The objection
This isn't a choice between a platform and the people who translate for you. Your agency, in-market reviewers, and freelancers can work inside your tenant — same people, same relationships, same quality of work.
What changes is where the output accumulates. Every term they settle and every correction they make is recorded on your side rather than theirs.
The switching cost that currently keeps you in place quietly disappears, which tends to improve the relationship rather than end it.
The result
Work with whoever you want, in an environment where what they produce stays yours and stays usable.
A translation agency delivers documents. TextUnited lets your organisation accumulate the language data behind those documents.
That data becomes something your own applications and AI tools can query, generate against, and improve.
Get started
Start building a language layer your teams and tools can use across every market.
What becomes possible
Structured language assets turn translation from a recurring handoff into infrastructure your organisation can query and improve.
Approved product language reaches every market and every team.
Assistants and workflows generate against your rules before content reaches review.
See what was approved, rejected, by whom, where, and when.
Your support bots, documentation pipelines, and internal tools query a governed language layer.
Use cases
Keep language accurate and reusable wherever your organisation creates, ships, or supports content.
Campaign copy across markets with one review flow.
Specs, procedures, and product instructions accurate in every language.
Help docs and guides without version drift.
UI strings, release notes, and in-app messaging.
Consistent training content in every region.
Help centre content translated quickly.
Approved wording and audit-friendly terminology.
SOPs and safety docs aligned across plants and suppliers.
Patient materials, device documentation, and clinical content kept accurate.
Translation agency alternative
Work with whoever you want, in an environment where what they produce stays yours and stays usable.
FAQ
Answers about agencies, ownership, AI, and governed language data.
An agency delivers documents and retains the language data that produced them. TextUnited lets that data accumulate in your own tenant as something structured and callable — your applications can query it, assistants can generate against it, and your team can edit terminology from the AI tools they already use.
Yes. Your agency works inside your environment with access you control. The relationship and quality of work can stay the same; their output accrues to you, so terminology settled this year is still yours in five years.
A platform, with optional human services if you want them. A platform does not need to hold the knowledge it accumulates about your content, so assets can sit in your tenant and export whenever you ask.
No. Your content and language assets are isolated to your tenant and aren't used to train public models. Ask the same question of every supplier and subcontractor in your translation chain.
Yes. Through MCP, assistants and internal applications retrieve approved terminology while generating, request translations against your memory, and manage terms conversationally.
Reviewers, subject-matter experts, and in-market colleagues work in the same environment as the translation, with comments and approvals recorded against the content.
When multilingual content becomes something the business depends on continuously rather than commissions occasionally. That's when accumulated language is worth more than any individual project.
