AI-Powered Machine Translation
Why settle for one MT engine when you can have the best of 30+?
Unlock the potential of Machine Translation
Quality
Our AI-powered technology uses evaluation data to select the best MT engine for your project from over 30 different options.
Efficiency
Our technology filters out non-translatable text and provides a quality evaluation score for translated content, resulting in cost-effective, high-quality translations with faster turnaround times compared to traditional methods.
Scalability
Gain access to a secure machine translation API designed to handle large volumes of content quickly and consistently.
Our AI-Powered MT solutions
Smart Engine
This AI-powered technology analyzes your content and language pair to select the best MT engine for your project. Content with a perfect score may not need human post-editing at all, bringing you immediate cost and time savings.
Intelligent Selection
The system evaluates the content and language pair to identify the MT engine that will deliver the best quality translation.
Multiple Engine Support
You can access and compare different MT engines from various providers.
Continuous Improvement
Benefit from quicker project completion and shorter turnaround times thanks to the AI-enhanced process.
Non-Translatable Text (NT) Technology
This feature automatically filters out non-translatable (NT) text such as part numbers, serial numbers, ZIP codes, URLs, and other types of content, reducing your costs by up to 10%
Adaptive Engine
Train your own data on our custom machine learning (ML) models within a matter of hours to produce high-quality translations at low cost. You can even use this solution outside of the TMS through our API.
Smart Data Curator
The system evaluates the content and language pair to identify the MT engine that will deliver the best quality translation.
Performance Scoring Tool
This quality analysis tool uses AI to efficiently determine translation quality by automatically providing an MT quality performance score. It can also be used with Adaptive Engine to produce better training data for MT models by training them on content that has received a passable quality performance score.
