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LILT's Contextual AI Engine enables translation at scale

Instant retraining drives increased translation velocity and higher quality across all content types.

Purpose-built for translation
Purpose-built for translation

Transformer architecture was first published in 2017, in what was a pivotal moment for the future of AI. With both an encoder network for understanding the language to be translated and a decoder network to produce translations and suggestions, LILT's Contextual AI Engine is built with this same technology but is optimized to perform a single structured task, namely translating text from one specific language to another, in real-time.

LILT'S Contextual AI Engine is run on our large language models, trained on 5x more data than previous models. LILT's LLMs are retrained instantly, learning from linguist feedback in real-time. As a result, the Contextual AI Engine is able to deliver translated content with higher accuracy, ultimately driving improved translation quality and increased alignment with brand voice.


LILT's Contextual AI Engine enables

On-Brand Translations

Our Contextual AI Engine learns your style and brand voice over time through In-Context Learning.

Top Quality

Instant retraining of LILT's large models ensures higher quality outcomes and reduced translation errors.

Cost Efficiency

In-Context Learning allows linguists to work faster, generating cost efficiencies for your team.


Investing in an AI strategy with LILT ensures your translation technology is always one step ahead.

Predictive Translation Suggestions
Predictive Translation Suggestions

LILT's Contextual AI Engine analyzes existing translation data and makes predictive translation suggestions. Suggestions dramatically increase translator accuracy and efficiency, enabling translators to spend their time on new or particularly challenging translation work, while the system handles predictable and repetitive parts automatically.

In-Context Learning
In-Context Learning

As translators interact with the translation suggestions, LILT's Contextual AI Engine learns and updates future suggestions. Translators see substantial efficiency gains from one sentence to the next, as instant retraining powers improved suggestions across the rest of the document as well as all future projects for your organization.

Fine tuning over time
Fine tuning over time

LILT's Contextual AI Engine is regularly retrained with new data, languages, and improvements to the predictive models behind the engine. Each word translated by the LILT Contextual AI Platform provides valuable feedback that automatically trains our models on your organization's content. But don't worry - your data is secure and only used to train your organization's engine. Data is never shared from one organization to the next.


Intel contextual AI engine

"We wanted a more automated, more streamlined solution where the [contextual AI] engine learns and improves right as we use it. This is what the LILT solution offered us."

Intel contextual AI engine
LoĂŻc Dufresne de Virel
Head of Localization

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