translate5 AI – intelligent support for translation, post-editing and quality assurance

translate5 AI puts artificial intelligence exactly where you can benefit the most of it: into the translation workflow itself.
With an open integration for all LLMs – whether in the cloud or on-premise – translate5 AI enables maximum flexibility, data sovereignty and quality.

Integrierbare LLM-Modelle – in cloud und on-premise

Open for any AI infrastructure

translate5 AI supports a wide range of Large Language Models (LLMs), both available in the cloud and on-premises.

Cloud models:

All GPT models from OpenAI – in the OpenAI cloud and via Microsoft Azure;
Further LLMs on Microsoft Azure, including Llama, DeepSeek, Gemini, Mistral, Claude and many more.

On-premises models:

Llama, DeepSeek, Mistral, GPT-OSS and all other open-source models, which can be operated locally or in client-owned infrastructures.

Of course, we can also integrate any other LLM interface via standardized APIs on request. This allows you to decide for yourself where your data is located and how you want to use AI – without being dependent on one single provider.

translate5 AI ist stark und an verschiedenen Stellen in translate5 integriert

Seamless workflow integration

translate5 AI is deeply embedded in translate5 and supports all steps of the translation process. With tranlate5 AI, you can use the LLMs of your choice, customized to your style, subject area and terminology:

In the editor:
AI support for translation, post-editing and review.
In InstantTranslate:
Instant translations based on your project-specific knowledge.
In project integration:
Pre-translation and automated quality estimation.

Produktivitätssteigerung dank translate5 AI

Efficiency, quality and data protection in balance

translate5 AI increases productivity, reduces repetitive work, and at the same time maintains the highest data protection standards.
This benefits translators, reviewers and project managers alike – through higher quality, consistent results and more control over the entire process.

LQA Projektanalyse und Ansicht im Editor

LQA – Language Quality Estimation by AI

Would you like to find out as quickly as possible which of the automatically pre-translated segments require the main focus during post-editing? Then analyse your translation with translate5 LQA. It is also based on an LLM, but contains a system message that instructs the model to analyse the translated segments and assign a quality rate to them. You can view these:

in the editor for each segment, including an explanation and filter option by percentage;
in InstantTranslate after file translation.

You can even use a specific pricing template to determine what the price scale should look like, based on the LQA results.

Training von LLM mit wiederverwendbaren Prompts in Bibliothek

Trainable on style, language and specialist area

All the LLMs integrated in translate5 AI can be trained: via Retrieval Augmented Generation (RAG) and, if the LLM allows it, with real training.

Customize the model of your choice to suit your specialist area, target audience and language style – directly in translate5, via an intuitive user interface and a prompt library that enables efficient prompt reuse and consistent results.

This produces AI-supported language solutions that reflect your corporate language and fit seamlessly into your communication processes.

Context-based intelligence through RAG

Thanks to Retrieval Augmented Generation (RAG), translate5 AI directly accesses your existing language resources: All your terminology, translation memories, style guides, and client-specific jargon can be seamlessly incorporated.

The result: translations that are not only correct, but also appropriate for the target group and consistent in style, without the need to send your or your clients’ data to a model.