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Large Language Models (LLMs)
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INTRO

Transforming Translations with LLM Efficiency

Embracing AI is no longer a choice but a necessity to excel in the ever-evolving global landscape. Unlocking the power of LLMs, Andovar streamlines the entire translation process. By harnessing the capabilities of LLMs, we enhance efficiency, speed, quality, and cost savings at every stage of the translation process from terminology management, translation, post-editing, review and QA. With this transformative approach, Andovar ensures faster turnaround times, superior translations, and significant cost benefits.

Transforming Translations with LLM Efficiency
FEATURES

Andovar Large Language Models

Content Summarization

Content Summarization

Easily identify the domain and subject matter of content to evaluate MT compatibility and align with best suited translation engine and linguistic team.

From Human-driven to Human-in-the-loop

In an industry now inundated with AI, human involvement remains an essential safeguard to ensure quality. Beyond traditional translation, linguists now assume essential new roles as post-editors, reviewers, language leads, and terminology experts. Capitalizing on the power of artificial intelligence, language specialists enhance their productivity and accuracy by refining machine-generated translations.

From Human-driven to Human-in-the-loop

Quality Control

Quality Control

Automated QA checks performed by LLM-powered tools ensure that every translation adheres to our strict quality standards. By using LLM-based QA tools alongside human QA checks, we are able to identify and correct any errors or inconsistencies in the translation process quickly and efficiently, further improving the quality of our translations.

Case Studies

Success Stories

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Agoda

Audiences across Europe and Asia can now access Agoda’s extensive travel services in their own languages.

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Spotify

Reaching out to music lovers in Thailand, Spotify translated its user interface into Thai, expanding into a new market.

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Airbnb

Preparing to launch in a new region, Airbnb wanted to adapt its marketing content and localize its app and videos.

Andovar reviews sourced by G2
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