AI translation tools that break barriers, not standards

AI translation utilizes artificial intelligence to convert text or speech from one language to another. It employs machine learning models trained on vast multilingual datasets to understand context, grammar, and semantics, enabling more accurate translations compared to traditional methods.

Our AI takes this further with SmartContext technology, fine-tuning machine translations using your translation memories. This ensures every translation is context-aware, accurate, and aligned with your brand voice, without compromising privacy or security.

While our AI delivers highly accurate translations using advanced AI algorithms and context-aware models, it also integrates seamlessly with human workflows. This human-in-the-loop approach ensures precision, cultural relevance, and a final quality standard that meets enterprise requirements.

Absolutely. XTM AI uses Smart Leverage and SmartContext to consistently apply industry-specific terms across all your content. You can also integrate custom glossaries and terminology databases to guarantee accuracy in specialized fields.

While our AI excels at context-aware translation and workflow automation, complex cultural nuances or hyper-specialized idioms may still require human linguist review. That’s why our AI is designed to collaborate with human expertise, ensuring every translation meets your enterprise standards.

Yes, our AI offers APIs and integration capabilities, allowing seamless incorporation into existing content management systems, localization workflows, and other enterprise applications, enhancing efficiency and consistency.

At XTM, security is a cornerstone of our platform:

• End-to-end encryption: Protects your data in transit and at rest
• Microsoft Azure hosting: Ensures a secure, compliant deployment environment
• SOC 2 certification: Audited regularly for world-class security compliance
• No data training policy: Your data is never used to train public AI models

With us, your data stays safe, private, and fully compliant with global standards, including GDPR and the EU AI Act.

Our AI integrates seamlessly with your existing CMS, PIM, ERP, and other enterprise platforms. Our API-first approach ensures smooth connectivity while pre-built connectors simplify setup and reduce deployment time.

XTM includes AI features as standard and we offer flexible pricing plans designed for enterprise localization teams. Our pricing considers:

• Project volume: Scale usage as your translation needs grow
• Feature access: Choose the AI tools tailored to your workflows
• Support levels: Get the right level of assistance for your operations

Whether you’re managing a single project or global campaigns, there’s a pricing plan designed for you.

Explore our pricing plans

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The best way to understand the power of our AI capabilities is to see it in action. Whether you’re exploring how AI can transform your workflows or want to see our platform in real time, we’re ready to show you.

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We currently leverage OpenAI’s GPT-4o mini to power advanced AI features such as:

• Language Guard: Real-time language quality and cultural sensitivity checks
• SmartContext: Context-aware translations tailored to your linguistic assets

Additional AI functionalities are supported by proprietary Natural Language Processing (NLP) technologies, ensuring flexibility and innovation

Access to GPT-4o mini is managed via private API keys and securely deployed through OpenAI or Microsoft Azure, providing you with full control over your data and ensuring compliance with enterprise security standards

We’re actively working towards integrating additional LLM vendors to offer even more adaptability and choice.

Most Translation Management Systems (TMS) rely on the Q-gram approach, which matches text using character-level patterns. While effective for basic matching, it often misses contextual and syntactic accuracy.

Smart Leverage, on the other hand, is powered by our proprietary algorithm, Weighted Token Levenshtein (WTL). Here’s how it outperforms conventional methods:

• Syntax awareness: Recognizes sentence structure and grammar nuances
• Enhanced fuzzy matching: Calculates more relevant fuzzy matches, even in complex text strings
• Higher match retrieval: Retrieves significantly more contextually accurate matches, reducing redundant translation work

This advanced approach ensures that your localization projects are faster, more consistent, and cost-effective

SmartContext enhances the performance of GPT-based Large Language Models (LLMs) through a method known as one-shot learning. Instead of requiring extensive training datasets, SmartContext uses your translation memory (TM) as contextual input.

Here’s how it works:

• Contextual fuzzy matching: The LLM analyzes fuzzy matches from previously translated content
• Instant adaptation: These matches are used as context to generate more accurate and context-aware translations
• No data storage: All data is securely passed to your LLM provider (e.g., OpenAI, Azure) and never stored by XTM

This approach enables highly accurate translations within minutes, without the delays or costs associated with traditional model training