Phrase Custom AI
Train and evaluate translation models using your organization’s language assets
- Tool type
- Custom translation-model training platform
- Made for
- Localization and language-technology teams
- Runs on
- Web workspace with downstream translation API access
What it does
Phrase Custom AI is a model-training workspace for adapting Phrase NextMT to an organization’s language and terminology. Teams prepare translation data, apply cleaning filters, train a custom model and compare its output with standard machine translation.
Evaluation supports CHRF3, BLEU, COMET and TER metrics, alongside visual comparisons. Trained engines can be deployed to Phrase TMS or Portal, or used outside the TMS through the Language AI API. The quality of the training assets and representative evaluation examples matters; available training runs and deployed models depend on the platform plan.
What it can do
- Training-data cleaning
- Translation-model training
- Automated quality evaluation
- Translation-memory curation
- Custom-engine deployment
Works with
- Phrase TMS
- Phrase Portal
- Phrase Language AI API
Before you choose
- Custom training currently targets Phrase NextMT.
- Plan allowances distinguish deployed models, training runs and asset curation.
Listed under
Get started
- Confirm model-training and deployment capacity in the plan.
- Prepare and clean representative translation assets.
- Train, compare results and deploy a reviewed engine to the required translation route.
Plans and prices
Custom AI is included with capacity limits in Phrase business plans. The broader Team bundle is $1,245/month billed annually and lists one deployed model and four training runs; confirm the allowance period and extra-capacity terms. This is not a standalone training-service quote.
We couldn’t find published prices for Phrase Custom AI. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.