AI localization that knows your game
The models are ready.
Your pipeline is the hard part.
scaling it consistently, and seeing what it actually did, string by string.
Scaling becomes an engineering project.
Overhead erodes the savings.
Problems surface too late.
Project-specific AI
without complexity or loss of control
Project knowledge in every string
Conversational setup
Transparent and under control
More languages, faster releases, lower cost
Lower cost vs standard translation methods*
No engineering dependency.
Localization teams set up and run workflows themselves.
Consistent quality at volume,
without manual context prep
Full visibility
into what the agent is doing at every step
Watch it turn a request into a finished batch
Describe what you need
'We need Brazilian Portuguese for all quest and dialogue content in Shadowfall.' That's the whole setup.
Review the instructions
The agent turns your request into a kit: the full set of instructions and language-specific rules, in bullets you can read and edit. Change anything; it updates on the spot.
Context assembles itself
Glossary terms, TM matches, style rules, and project references get pulled into each string's prompt. Nothing to prepare manually.
Test before you commit
Run a sample, check the output, adjust the rules. Bad instructions get caught on 50 strings, not 40,000.
Run the batch
The agent processes the full volume and delivers output into your Grid, ready for review, with AI-generated work tracked separately.
Reuse it every batch after
Next week's strings land and the same kit runs again. No setup, no re-prompting. Steps 1 to 4 happen once per project, not once per release.
See the full run in 2 minutes
If you can describe it, the agent can run it
Translation with game-specific context
Character bios, glossaries, and tone-of-voice guides assembled into each prompt. Output that reflects the game’s identity, not a generic translation.
Language variant adaptation
European Spanish exists; Latin American Spanish is needed. The agent carries over what holds and adapts only what changes. A new variant at a fraction of a retranslation.
Cross-language LQA
All translations complete. The agent reads every version and flags where one language's meaning drifts from the others.
Post-edit documentation
Translators post-edited AI but never logged changes. The agent documents why each string changed, across all languages, in bulk.
Also: quality scoring, source text checks, terminology and style compliance, and anything else you can describe.