Custom.MT Introduction

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Custom.MT is an AI-powered machine translation platform that provides access to leading MT engines, custom model training, and integration with localization tools.
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What is Custom.MT

Custom.MT is a machine translation management platform and AI/ML operations agency specializing in helping translation and localization teams implement AI models. Founded in 2020 and headquartered in Prague, Custom.MT offers access to top MT engines including ChatGPT, as well as custom model training, evaluation, and integration services. Their flagship product, Custom.MT Console, allows users to manage stock and custom translation models and connect them to linguistic tools.

How does Custom.MT work?

Custom.MT works by providing a centralized platform to access, evaluate, and manage multiple machine translation engines. Users can identify the most accurate engine for their content using the 'Best Engine' tool, then plug the winning model into their workflow. The platform offers tag processing to preserve or remove tags during translation, and integrates with translation management systems like Trados, memoQ, and Smartling. For more advanced needs, Custom.MT provides services like custom model training, on-premise MT deployment, translation memory cleaning, and data acquisition to improve translation quality and efficiency.

Benefits of Custom.MT

Using Custom.MT offers several key benefits for localization teams. It provides flexible access to multiple leading MT engines through a single interface, saving time and reducing complexity. The platform's evaluation tools help users select the optimal engine for their specific language pairs and content types. Custom model training and terminology management improve translation accuracy and consistency. Integration with existing translation tools streamlines workflows. For companies with sensitive data, on-premise deployment options ensure security. Overall, Custom.MT enables teams to leverage the power of AI translation while maintaining control over quality and processes.

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