Your assistants generate inside your rules
Through MCP, AI tools retrieve approved terminology at the moment they write, so content is produced correctly rather than corrected afterwards.
Translation agency alternative
Your company's AI doesn't know what your company calls things.
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.
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The problem
Outsourcing produces documents. Documents aren't data.
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.
Terminology decisions disappearApproval history stays outsideTranslation memory arrives as a fileAI invents vocabulary from scratch
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
Language data you can build on
Terminology, memory, and approval history as structured data in an environment you control — reachable by your systems, not just by a supplier.
Manage terminology by prompt
Add an approved term, reject one, or check what a market decided conversationally from the agent your team already uses.
Translate against your own data
Request a release note in fourteen markets and get your phrasing, resolved against your memory and terms.
Build your own applications
A terminology service, support bot, or future application starts from an endpoint rather than a folder.
Ask what was decided, and why
Query approved and rejected terms, the market that rejected them, and when — institutional memory that otherwise lives in one translator's head.
See where markets disagree
Query across languages to find the same product described inconsistently.
Ownership
Is your translation data really under your control?
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
Language assets stay in your environment
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.
Your own tenant
Language assets are isolated to your environment — not pooled across clients and not used to train public models.
Access you control
Translators, reviewers, and outside vendors work under permissions you grant and can revoke.
Portable by design
Export terminology, translation memory, and structured language data in TBX, TMX, and CSV.
Comparison
Traditional translation agency or TextUnited?
The translation itself can look similar. What it leaves behind is different.
Output
Finished documents
Structured terminology, memory, and approval history accumulate in your environment.
You receive files. TextUnited leaves reusable language data your systems can query.
The objection
You don't have to leave your agency
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.
Keep current agencyKeep in-market reviewersKeep 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
Keep the people. Keep the data too.
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
Ready to keep your language data?
Start building a language layer your teams and tools can use across every market.
What becomes possible
Build on language data, not document archives
Structured language assets turn translation from a recurring handoff into infrastructure your organisation can query and improve.
Consistent terminology
Approved product language reaches every market and every team.
Fewer correction cycles
Assistants and workflows generate against your rules before content reaches review.
Traceable decisions
See what was approved, rejected, by whom, where, and when.
Applications that start with context
Your support bots, documentation pipelines, and internal tools query a governed language layer.
Use cases
Built for multilingual teams
Keep language accurate and reusable wherever your organisation creates, ships, or supports content.
Marketing campaigns
Campaign copy across markets with one review flow.
Technical documentation
Specs, procedures, and product instructions accurate in every language.
Product documentation
Help docs and guides without version drift.
Software localization
UI strings, release notes, and in-app messaging.
Employee training
Consistent training content in every region.
Customer support
Help centre content translated quickly.
Legal content
Approved wording and audit-friendly terminology.
Manufacturing documentation
SOPs and safety docs aligned across plants and suppliers.
Medical content
Patient materials, device documentation, and clinical content kept accurate.
Translation agency alternative
Keep the people. Keep the data too.
Work with whoever you want, in an environment where what they produce stays yours and stays usable.
FAQ
Frequently asked questions
Answers about agencies, ownership, AI, and governed language data.
What makes TextUnited different from a traditional translation agency?
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.
Can I continue working with my current translation agency?
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.
Is TextUnited a translation agency or a translation management platform?
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.
Is our content used to train AI models?
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.
Can our own AI tools use this?
Yes. Through MCP, assistants and internal applications retrieve approved terminology while generating, request translations against your memory, and manage terms conversationally.
How does collaborative review work?
Reviewers, subject-matter experts, and in-market colleagues work in the same environment as the translation, with comments and approvals recorded against the content.
At what point should a company move beyond a traditional translation agency?
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.