Language & Translation
Build a translation agency termbase hub
Kliv is an AI app builder. Describe your translation agency termbase hub, with per-client terms, corpora, draft checks, reviewer logins, clearances, and metered billing, and Kliv builds it.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a glossary spreadsheet or generic document store you sign up for and configure — it’s an AI app builder that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the data, the rules, the screens, and the checkout. What you get is a real application that’s yours. You can use it, change it later by asking for changes, and run payments through your own Stripe account. It isn’t a template with your name on it.
On this page, that app is a termbase hub for a translation agency. Kliv builds all kinds of web apps; this is one of them, and that’s what the rest of this page covers.
Why every client’s glossary needs one home
A translation agency sells consistency. The manual, product sheet, and marketing copy should use the same approved terms across languages and over time. But terminology often lives in one spreadsheet per client, a freelancer’s copy, and a reviewer’s inbox.
Kliv builds one hub for the work. Terms and corpora live per client. Freelancers see only the clients they are cleared for. Client reviewers approve or veto terms in their own view. An assistant checks drafts against the right termbase and cites what it used.
One client’s terminology records
A corpus feeds a termbase, the checker enforces it, and access rules keep each client’s language separate.
Termbase
Per client and language pair: approved terms, forbidden terms, preferred phrasings, context notes, status, and history.
Corpus
Approved manuals, style guides, and product sheets upload into the client’s knowledge base so linguists can retrieve the source context.
Draft checker
The assistant reads a draft against the client’s termbase and style rules, returns flags, and cites the term record or corpus passage behind each one.
Linguists and clearances
A freelancer sees only the clients they are cleared for. Other client termbases do not appear in their app.
Client review
The client’s terminologist can sign in to approve or veto terms. Each decision is a dated record with a name on it and applies to the next check.
An example: Vela’s forklift-maker termbase
Here’s how one agency might use it. It’s only an example — you would describe your own clients, languages, approvals, clearances, checking rules, and billing.
The client handover becomes a corpus
Vela receives nine years of manuals, two conflicting glossaries, and a style PDF. All of it is uploaded into that client’s corpus the same afternoon.
Conflicting terms become decisions
The glossaries import as term records, and conflicts surface right away. The client’s terminologist settles each conflict in the review view.
A freelancer checks the first draft
A cleared freelancer drafts chapter one. The checker returns four flags, each citing a term entry or manual passage, so review starts with specific decisions.
A veto applies to the next job immediately
The client vetoes a term on Tuesday. That is one row in the termbase, and Wednesday’s checks enforce it without a new email chain.
Checked words become the billing count
At month end, 84,000 checked words sit on the client’s usage meter. The invoice prices that count at 2¢ per word, and the client’s PM sees the same count.
Describe the termbase hub you want
Kliv builds from your description, so the more detail you give, the closer the first version. Include client separation, languages, review rules, checking behavior, citations, and billing. Here are three to build on:
Agency termbase hub
Per-client terms, corpora, checking, and review.
“Build a termbase hub for our translation agency. Each client should have term records and corpora by language pair, linguists should see only cleared clients, client reviewers should approve or veto terms, the checker should flag draft text against approved terminology with citations, and checked words should bill at 2¢ per word unless a client has a custom rate.”
Legal translation desk
Matter glossaries and approval flows.
“Build a termbase system for legal translation where each matter has its own glossary, citation-format rules, reviewer approval for new terms, and a check that flags drafts using unapproved legal terminology.”
Localization style hub
Product team termbases and tone guides.
“Build a localization hub where each product team keeps a termbase and tone guide, translators upload UI strings for checking, and the assistant flags wording that drifts from approved terminology or tone.”
Terminology work as a service
The hub also lets an agency sell terminology work on its own.
The corpus can be quoted. Ask how a past manual handled a term and the assistant answers with the sentence and document it found. A flag has a source, not just a confidence score.
Checking can be metered. Every checked word can tick the client’s usage meter. Month-end billing reads that meter at the rate you sold, through your own Stripe account.
The people who fix terms see the flags. When a job closes, the checker can post a summary to the client’s shared Slack channel.
Terminology digests can run weekly. A scheduled email can tell each linguist which approved and vetoed terms changed for their cleared clients.
What a whole agency runs on — portals, retainers, and client operations — is drawn at full size in the agencies solutions page.
Common questions
What exactly is Kliv?
Kliv is an AI app builder that builds custom web apps from a description. For a translation agency, it can build term records, corpora, draft checking, client review, clearances, usage meters, and billing.
Do I get a real app, or a template?
A real app. Kliv builds the database, access rules, checker workflow, screens, and reports for your agency’s terminology process.
Can I change it after it’s built?
Yes. You can add languages, change approval states, adjust checking rules, add client fields, or change billing rates later by asking.
Can clients see each other’s terminology?
No. Client records are scoped by access rules, so a reviewer sees their own termbase and corpus, not another client’s.
Does the checker translate?
No. Linguists translate. The checker compares a draft against the client’s termbase and style rules and cites the source behind each flag.
How does per-word billing work?
Checked words land on a usage meter per client. Invoices price that meter at the rate you set, such as 2¢ or 4¢ per word, and payments settle to your own Stripe account.
Do clients need Stripe accounts?
No. Clients pay by card or invoice through your setup. Stripe is how money reaches your account when you use online payments.
What happens when a client leaves?
You can export that client’s term records and corpus cleanly. The same separation that keeps clients apart also makes handover precise.
Can freelancers see only cleared clients?
Yes. A freelancer’s access can be limited to the client termbases they are cleared to work on.
Can client reviewers approve terms themselves?
Yes. A reviewer can have a client-scoped view to approve, reject, or comment on terms, with each decision recorded.
Can the checker cite sources?
Yes. Flags can cite term records or corpus passages so the reviewer can see why the item was flagged.
Can I move off Kliv later?
Yes. The app’s code syncs to your own Git repository.
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Keep client terminology consistent
Describe your clients, languages, approval rules, checking behavior, clearances, and billing terms. Kliv builds the hub that keeps each client’s language consistent.