
KantanAI
Advanced Neural Machine Translation and Quality-First Localization Automation.

Custom Neural Machine Translation and Quality Estimation for Global Enterprise Localization.

KantanMT, an XTM International company, represents the pinnacle of professional-grade Custom Neural Machine Translation (NMT). Its architecture is designed for language service providers (LSPs) and global enterprises that require higher accuracy than generic engines like Google or DeepL. The platform's technical core revolves around 'KantanSkynet,' a high-performance NMT framework that allows users to train bespoke models using their own Translation Memory (TM) and terminology databases. In 2026, KantanMT has pivoted toward integrated Quality Estimation (QE), providing real-time scores for machine output to reduce the dependency on human post-editing. The platform operates on a secure, cloud-native infrastructure, ensuring data privacy and GDPR compliance. Its position in the market is defined by its deep integration capabilities with major CAT (Computer-Assisted Translation) tools and its ability to handle massive datasets with sub-second latency. By leveraging proprietary 'KantanLibrary' data-cleaning algorithms, the system ensures that the training data is optimized for high-fidelity output, making it the preferred choice for technical, medical, and legal localization workflows where precision is non-negotiable.
KantanMT, an XTM International company, represents the pinnacle of professional-grade Custom Neural Machine Translation (NMT).
Explore all tools that specialize in nmt model training. This domain focus ensures KantanMT delivers optimized results for this specific requirement.
Advanced neural network architecture optimized for morphological nuances in complex languages.
Language Quality Review module that automates the collection of human feedback on MT output.
A centralized repository for cleaning and managing massive multilingual datasets.
Predicts the quality of a machine translation segment without a reference human translation.
A desktop connector that automates file transfers between local environments and the MT cloud.
Dynamic engine updates that incorporate post-editor corrections in near real-time.
JavaScript-based UI components for embedding translation features into websites or apps.
Create an account on the KantanMT Cloud platform and verify enterprise credentials.
Initialize a 'Project' and define the source and target language pairs.
Upload high-quality Translation Memory (TMX) files to the KantanLibrary for data cleaning.
Execute the 'Data Clean' process to remove noise, tags, and low-quality segments.
Select the 'KantanSkynet' engine architecture based on the specific content domain (e.g., Medical, Technical).
Initiate the training cycle; monitor BLEU and F-Measure scores in the dashboard.
Upload a 'Gold Standard' test set to perform automated quality evaluation.
Configure 'KantanLQR' (Language Quality Review) parameters for human-in-the-loop validation.
Generate API keys for integration with CAT tools like XTM Cloud, Trados, or memoQ.
Deploy the engine to production and monitor real-time Quality Estimation (QE) metrics.
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