Services
Model training
A model is only as good as the data it learns from. We help you audit, clean and prepare your language assets before you train on them.
How it works
You can fine-tune a large language model (LLM). You can also feed parallel data to a neural machine translation (NMT) engine to steer it toward your terminology and style. Which gives you better output? Which is more efficient in tokens and energy?
AI is moving fast, but it isn't always the right answer. Before you commit, it pays to think through how you'll maintain your language assets, because that shapes how well any model performs.
Do you have clean parallel data (translation memory) in volume?
Get your assets ready first
Clean the translation memory, build a glossary and style guide. Any model trains on what you give it.
Is the content repetitive and terminology-heavy?
Train an NMT engine
Consistent, lower cost per word.
Fine-tune or prompt an LLM
Better when tone and context carry meaning.
Clean data first, better models second. Let's start with what you have.
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