By submitting this form, you are agreeing to Andovar's Privacy Policy.
INTRO
Unleash Your AI Potential
AI has transformed translation and localization, in the space of a few years transitioning from basic rules and statistics-based tools to sophisticated AI-powered systems using deep-neural networks, Large Language Models (LLMs), and advanced, self-learning prompt techniques. These innovations have greatly improved translation quality and efficiency, making once challenging tasks evermore attainable, accurate and cost-effective. The rise of LLMs and AI-driven translation engines has truly set new standards in the industry.
Top-tier and Proprietary Innovations
Combining Best Platforms and In-House Development
We utilize the best-of-breed solutions available and supplement them with our proprietary large language models. Our agile development program is dedicated to not only adopting industry-leading technologies but also creating and integrating our own innovations. This dual approach ensures we stay at the forefront of localization technology.
Staying Ahead
AI and Language Tech Are Ever Evolving
AI and language technologies are in a constant state of evolution, with today’s advanced solutions likely to be surpassed in the very near future. We are committed to staying ahead by continually integrating more efficient and effective technologies. Our adaptive approach ensures we consistently provide the most innovative localization solutions available.
Automatically Cherry-pick Content based on MT Compatibility
Our advanced LLMs can intelligently detect and isolate sections of content best suited for machine translation, which essentially means all content can be evaluated for every project. This ensures maximum efficiency and accuracy, as the system uses AI to determine which parts of the content can be reliably translated by MT and which require human intervention, optimizing time, resources and costs.
LLM for Outperformance
Beyond Traditional Machine Translation
In many scenarios, LLMs now outperform traditional narrower machine translation systems. By drawing knowledge and context from existing translations (TMs) and termbases (TB), LLMs generate more nuanced and accurate translations. This self-learning, self-improvement loop continuously enhances the quality of the machine-translated output, pushing the boundaries of what machine translation can achieve.
Human Quality for Half the Price
With AI taking over initial translation tasks, human experts now focus on editing, reviewing, and validating MT translations as well as reviewing LLM suggestions. This human-in-the-loop approach ensures high-quality output, as experts refine and retrain LLMs and engines. The combination of AI efficiency and human expertise guarantees superior localized content that meets intricate linguistic and cultural standards.
Tailored Workflows for Every Need
Adapting for Content and Language Specifics
We understand that different content types and languages require unique workflows. Critical content, such as medical patents, undergoes rigorous vetting, while non-critical content benefits from faster processes. Language compatibility with machine translation also varies; for instance, French often translates smoothly with little human involvement, while Arabic demands more of a linguist's attention and edits. Our customized workflows ensure optimal outcomes for all projects.
Innovation with Security
Advanced Protection and Continuous Improvement
Our commitment to innovation and quality is matched by our dedication to security. Our ongoing agile development program includes proprietary solutions and advanced safeguards, ensuring our localization services are both cutting-edge and secure. This continual improvement process allows us to provide reliable and high-quality localization services.
MACHINE TRANSLATION
Harness the Power
Connected to over 50 AI-powered MT Engines
Andovar’s translation management system is connected with over 50 AI-powered translation engines, ensuring access to the best machine translation technologies available on the market. This includes well known solutions by Google, Amazon Web Services (AWS) and Microsoft as well as niche, domain specific and language specific alternatives. This seamless integration allows us to provide unparalleled localization accuracy and quality, leveraging the collective power of these engines to deliver exceptional translation quality for diverse content and languages.
LARGE LANGUAGE MODELS
Enhanced Translation Precision
Fine-tuning for Terminology, Style and Tone
As well as being its own means of translating content, Andovar’s (LLMs) are configured to interact seamlessly with our AI-powered MT systems to further enhance output. Functionality includes fine-tuning translations by managing terminology, providing real-time quality improvements to tone and style, MT output and post-editing assessments as well as automating quality assurance. Drawing on context from previous translations stored in translation memories (TMs), termbases and style guides, Andovar’s in-house developed LLMs create a self-learning, self-improvement loop, offering context-aware adjustments for a polished final output.
HUMAN-IN-THE-LOOP
Human Quality for Half the Price
With AI taking over initial translation tasks, human experts now focus on editing, reviewing, and validating MT translations as well as reviewing LLM suggestions. This human-in-the-loop approach ensures high-quality output, as experts refine and retrain LLMs and engines. The combination of AI efficiency and human expertise guarantees superior localized content that meets intricate linguistic and cultural standards.
Case Studies
Success Stories
Agoda
Audiences across Europe and Asia can now access Agoda’s extensive travel services in their own languages.
Spotify
Reaching out to music lovers in Thailand, Spotify translated its user interface into Thai, expanding into a new market.
Airbnb
Preparing to launch in a new region, Airbnb wanted to adapt its marketing content and localize its app and videos.
Talk to an expert
Please provide a little bit of information in the form below and we will be in touch soon. If you are interested in working for Andovar (as translator/ SLV or full-time employee), please visit our careers site.