AI-Optimized Machine Translation

Go multilingual faster and smarter with Acolad's cutting-edge AI-powered machine translation solutions.


Scalable solutions to deliver cost-efficiency 


Industry-leading security and compliance


Better translations - available 24/7

Trusted Machine Translation

“This project revolutionized our global communication and set new benchmarks in translation technology, paving the way for future innovations.”

Global Communications Company

“Acolad’s solutions enabled the maintenance of industry-leading standards while optimizing overall efficiency.”

Global Software Company


Our Approach to Machine Translation

Self-Service MT

User-friendly interfaces and robust accuracy – the perfect solution for quick translations on demand.

  • Powered by state-of-the-art neural machine translation (NMT) and large language models (LLMs)
  • Seamless integration with any workflow
  • Advanced image-to-text technology 
  • Over 1,000 language combinations
  • Tailored terminology to your unique needs
  • Simple, swift, and user-friendly interface

MT + AI Optimization

MT combined with smart tools that assess quality to help pick the right engine, improve outputs, and optimize workflows.


Quality Evaluation

Rapidly measures the quality of machine translation outputs.


Automated Post-Editing

Automatically corrects common errors and refines language use.


Quality Assurance

Ensures the final output meets your standards and industry benchmarks.

Human in the Loop

The speed and scalability of AI combined with the nuanced understanding of human experts, enhancing quality and reliability.



ISO-certified in-depth review to guarantee your brand voice and house style.


Linguistic Excellence

Improve input and output, style, tone of voice, terminology, analysis, and insights.

Tailored MT

Designed to meet your unique needs, we adapt our MT engines with your preferred terminology and style guides.


Model Fine Tuning

Enhanced accuracy and relevance for your domain.


Custom MT Training

Tailored to your terminology and stylistic preferences.


Adaptive MT

Real-time learning from corrections and user feedback


Retrieval-Augmented Generation (RAG)

Superior accuracy and contextual relevance.

AI-Powered Precision

Our Automated Translation Workflow

Content Analysis

Automated content assessment and refinement for better translatability.

TM Match

Uses past translations to ensure accuracy and consistency.

Machine Translation

Selects the best MT engine based on the content analysis.

Automated Quality Evaluation (AQE)

AI evaluates and scores raw MT translation quality.

AI Post-Edit

AI improves MT output quality with advanced prompting.

AI-Assisted Quality Assurance

AI ensures overall translation quality and consistency.

7 (Optional)
Human Post-Edit

Expert linguist or subject matter expert further optimizes the translation.


Final translation delivered, ensuring quality, cost-efficiency, and speed.

AI-First Tech-Driven Innovation

In-house R&D 

Since 2015, our team has created advanced translation and language processing technology in-house. This lets us provide accurate AI solutions tailored to your business needs. 

Scientific Community

We don’t just participate - we drive AI-powered language technology forward. As co-administrators of the OpenNMT project since 2017, we set industry standards.

Production Scale

Since 2015, our team has created advanced translation and language processing technology in-house. This lets us provide accurate AI solutions tailored to your business needs. 

Our Experts are Ready to Guide Your Machine Translation Journey

Frequently asked questions

Still Have Questions About Machine Translation? We Have Answers

Machine translation is the process of using algorithms, or probabilistic models, like neural networks or AI to translate text automatically.

Machine translation tools use algorithms, statistical models and artificial intelligence to analyze the structure and patterns of text and translate it. Models can be ‘trained’ to learn the patterns in languages - improving their output.

Neural Machine Translation (NMT) is a technology based on networks of artificial neurons that predict the likelihood of a set of words in sequence. It is currently the most common technology used for quality machine translation.

A Large Language Model (LLM) is a model able to achieve language understanding and generation. They are trained on large volumes of content and are most famously used in generative AI chatbots like ChatGPT but are increasingly used as machine translation tools.

In Machine Translation, Human in the Loop refers to using a human expert at crucial stages in the translation process to improve the output quality. At Acolad we even prefer to say human at core. They might use prompts to improve the output of Generative AI content or resolve AI hallucinations. They might also adjust the output language to help it sound more natural or fit a desired style, add insight and human expertise. Essentially, they add what only humans can truly master. 

Machine Translation Post-Editing is part of the Human in the Loop process. A human language expert will take the Machine Translation output and carry out edits to ensure the final content meets quality standards and, for example, a house style or brand voice. With the development of AI, traditional post-editing has evolved into a more valuable process where linguists now focus on adding significant value, ensuring nuanced accuracy, cultural relevance, and higher-quality outputs in the translation process.

OCR refers to Optical Character Recognition. It’s a process that converts an image of text, for example, a screenshot containing words, into machine-readable text. This is useful for Machine Translation as it allows text within images to be automatically translated, so it does not need to be transcribed. Our innovative Portal can read the text in images, making it much easier to Machine Translate written content within images.

Natural Language Processing (NLP) refers to using artificial intelligence techniques to automatically translate text or speech from one natural language to another. While machine translation focuses on language translation, NLP is a broader field covering tasks like language understanding, generation, and more.

Yes, machine translation technology allows you to integrate machine translation into your existing content workflows – often at the click of a button. With plugins or an API, machine translation can be built into many existing applications and tools.

Machine translation can allow for faster, scalable, and cost-effective translations. MT can quickly translate large volumes of text and handle multiple language pairs, all while reducing expenses. However, sometimes the human touch is needed to post-edit content.

Combining machine translation with human expertise and AI tech is a proven way of harnessing cost-effectiveness without sacrificing quality in the target language. You can tailor machine translation services to match your needs. For more information on cost-effective translation, request a quote.