Translized offers a comprehensive solution for automating software localization and translation. By integrating features such as translation memory, glossary management, and real-time collaboration, it ensures a seamless experience for developers and managers. The platform is tailored for websites, web applications, and mobile app localization, making it suitable for various digital product types. With powerful automation tools, it not only enhances teamwork but also improves translation accuracy and consistency across projects.

AI-Agentic Machine Translation is an open-source framework designed for research and development in machine translation. It orchestrates three core agents—a generator, an evaluator, and a refiner—to collaboratively produce, assess, and refine translations. Built on PyTorch and transformer models, the system supports supervised pre-training, reinforcement learning optimization, and configurable agent policies. Users can benchmark on standard datasets, track BLEU scores, and extend the pipeline with custom agents or reward functions to explore agentic collaboration in translation tasks.