Wednesday, April 16, 2025

LILT Debuts AI Agents, Enterprise Tools at AI Day

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LILT, a leading provider of AI-powered translation and localization solutions, announced a powerful new lineup of innovations aimed at elevating speed, accuracy, and efficiency in enterprise content operations. Unveiled during the company’s annual AI Day event, the new offerings include the AI Review Agent, AI Analyst Agent, a new AEM Connector, and upgraded Budget Tracking capabilities within LILT Analytics.

AI Review Agent: Driving Quality and Efficiency in Translation Workflows

LILT introduced the AI Review Agent, a cutting-edge tool designed to bridge the gap between rapid AI translation and high-quality output. Acting as an autonomous editor, the AI Review Agent proactively identifies and corrects errors in both AI-generated and human-translated content—before it reaches human reviewers. This not only reduces review time but also helps eliminate AI model bias and enhances translation accuracy.

“Our AI Review Agent delivers proactive error correction for near-perfect translation,” said John DeNero, Chief Science Officer and Co-Founder of LILT. “By acting as a separate AI model, it mitigates the model errors and biases that slow down translation projects. It delivers over 99% accuracy and saves 3 to 4 hours of review time per 10,000 words.”

By embedding intelligent review into the localization process, the AI Review Agent boosts overall translation quality and supports a smoother, more scalable localization workflow.

Also Read: DeepL unveils “Clarify,” an interactive translation tool

AI Analyst Agent: Accelerating Multilingual Intelligence for the Public Sector

Another major launch is the AI Analyst Agent, a purpose-built solution for government and defense agencies tasked with analyzing high volumes of multilingual data. This AI agent automates labor-intensive processes—such as data collection, document analysis, and report generation—providing real-time insights and situational awareness for critical decision-making.

“The AI Analyst Agent is a force multiplier for our national security partners,” stated Spence Green, CEO and Co-Founder of LILT. “It automates the collection, targeting, correlation, and interpretation of vital intelligence, providing real-time situational awareness and accelerating decision-making.”

With the ability to process diverse data sources and generate contextual intelligence quickly, the AI Analyst Agent empowers public sector teams to act with speed and confidence.

AEM Connector: Seamless Localization Inside Adobe Experience Manager

LILT also debuted its AEM Connector, enabling direct integration with Adobe Experience Manager (AEM) to streamline localization workflows. By embedding LILT’s capabilities within the AEM interface, enterprises can manage translations without switching platforms or relying on manual file transfers.

“Our AEM Connector provides seamless, in-context translation functionality directly within your AEM environment,” explained Werner Koepf, Chief Product & Technology Officer, LILT. “By integrating LILT directly into our customers’ CMS, we save companies approximately 7 hours and hundreds of dollars per project.”

Part of a growing suite of over 60 integration-ready connectors, the AEM Connector empowers content teams to accelerate global rollouts with minimal operational overhead.

LILT Analytics: Real-Time Budget Visibility and AI Performance Insights

Rounding out the announcements are significant updates to LILT Analytics, including advanced Budget Tracking and AI Accuracy metrics. These enhancements offer enterprises a granular view into localization spend and AI model performance—key for strategic planning and ROI measurement.

“Enterprises require robust reporting and control over their AI deployments,” said Matthew Mulqueen, Chief Revenue Officer at LILT. “Our enhanced Analytics provide real-time data on budget and AI accuracy, enabling organizations to optimize performance and ROI.”

With these insights, teams gain deeper control and transparency over global content programs, making data-driven decisions easier than ever.

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