Coverage
2 products have documented native delivery
The remaining products may rely on an integration, a workaround, or a broader published placement. Open a product to inspect the evidence and delivery conditions.
Cross-cycle foundation
Choose, adapt, evaluate and control the machine translation engines and language models used across the pipeline.
4 products
Foundation brief
Coverage
The remaining products may rely on an integration, a workaround, or a broader published placement. Open a product to inspect the evidence and delivery conditions.
Commercial signal
Pricing facts come from current published offer records. Use the directory filters below to separate public pricing, quote-based offers, and profiles still being researched.
Outcomes
Scroll through the outcomes in this part of the localization map.
Select and orchestrate several MT engines and language models by language pair and content type.
Adapt engines and models to your content with custom training, glossaries or prompts.
Benchmark engines, models and prompts on your own content before rollout and after changes.
Estimate the quality of MT or AI output per segment, auto-approve or auto-correct confident segments and send the rest to human review.
Track acceptance, edit distance and time-to-edit for MT and AI output to tune engines, prompts and routing thresholds.
Run MT engines and language models with your own keys, self-hosted or on-premises deployment and no-training terms.
Markets
Each count uses an exact sourced match within this stage or foundation.
Directory
Browse published listings and use profile or pricing filters to narrow the market.