LLMs are ready.

Your pipeline is the hard part.

Access to capable AI is no longer the main barrier. The challenge is providing context,
scaling it consistently, and seeing what it actually did, string by string.

×

Output lacks project context.

Character voice, game terminology, or language rules are missing.

×

Scaling requires engineering.

Someone must build and maintain processing, configuration, and pipelines.

×

Overhead erodes the savings.

Preparing context, configuring runs, and post-editing wipe out the expected gains.

×

Problems surface too late.

Inconsistencies, language failures, or hallucinations go unnoticed until production.

Your project-specific AI harness
without complexity or loss of control

The Localization Agent executes translation and QA instructions using the right project context for each content item. Just tell it what you need, review the instructions it creates, and run them on the content in your view.

Game knowledge in every string

Game knowledge in every string

The agent assembles relevant terminology, translation memory, metadata, and project knowledge based on the content, language, and task.

Conversational setup

Conversational setup

Describe the goal and requirements. The agent determines the approach and prepares the instructions you can then fine-tune.

Transparent and under control

Transparent and under control

See and adjust the agent’s instructions, test them on a sample, and validate the results before processing the full batch.

More languages, faster releases, lower cost

60%

Lower cost vs standard translation methods*
No engineering dependency.
No engineering dependency.
Localization teams set up and run workflows themselves.
Consistent quality at volume
Consistent quality at volume,
without manual context prep.
Full visibility
Full visibility
into what the agent is doing at every step.
*Measured during alpha piloting.
Schedule demo

Watch it turn a request into a finished batch

1

Describe what you need

'We need Brazilian Portuguese for all quest and dialogue content.'

2

Review the instructions

The agent turns your request into a kit: the full set of instructions you can read and edit.

3

Context assembles itself

Glossary terms, TM matches, style rules, and project references get pulled into each string's prompt.

4

Test before you commit

Run a sample, check the output, and adjust. Catch bad instructions on 50 strings, not 40,000.

5

Run the batch

Process the full volume and push the output to your Grid, with AI-generated work tracked separately.

6

Reuse it every batch after

Next week's strings land and the same kit runs again. No setup, no re-prompting.

See the full run in 2 minutes

Schedule demo

If you can describe it, the agent can run it

Translation with game-specific context

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

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

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

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.

Fine-tune what the agent built

Switch on Studio mode to adjust the instructions, language rules, and models behind any kit.

Refine prompts with your own know-how
Edit rules for specific languages or content types
Pick the model for each language using your API keys
Fine-tune what the agent built

See it work on a problem like yours.

Book a live demo and watch the agent take a request to a finished batch. Translation, LQA, or whatever else your content needs.

Schedule demo
Launching Fall 2026. See it before then.