AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Lilt Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Box Professional Services 2810 $1.1B United States LILT Lilt ML and Data Science Platforms 2024 n/a
In 2024, Box integrated Lilt using the Lilt <> Box Connector to embed Lilt's AI translation directly into Box content workflows. Lilt is an application in the ML and Data Science Platforms category and the integration targets content management and localization efficiency for Box enterprise content and CMDB use cases. The implementation automates file transfer and trigger based translation initiation so assets stored in Box enter Lilt translation pipelines without manual handoffs. Functional capabilities implemented focus on machine translation orchestration, automated ingestion of Box files, and synchronization of translated assets back into Box content repositories. Technically the connector maps Box content lifecycle events to Lilt translation workflows, enabling translation triggers driven by content state changes and metadata. Operational coverage concentrates on enterprise content and localization teams responsible for content publishing and asset localization within Box. The Lilt <> Box Connector was showcased at BoxWorks 2024 and the partnership was announced in November 2024, indicating a coordinated rollout for customers. Partners highlighted outcomes of faster time to market and reduced manual handoffs for translated assets in Box.
Federal Bureau of Investigation Government 35000 $9.7B United States LILT Lilt ML and Data Science Platforms 2022 n/a
In 2022 the Federal Bureau of Investigation implemented Lilt within its ML and Data Science Platforms portfolio to run generative AI translation pilots aimed at scaling language processing for internal documents and external communications. Lilt was deployed to support government operations language workloads and public sector communications within the FBI environment. The implementation emphasized translator in the loop review workflows combined with Lilt’s generative translation capabilities, and included configuration of workflow orchestration and quality control modules to maintain human oversight. Security measures were built into the deployment to enforce strict data purge policies and access controls consistent with law enforcement data handling requirements, reflecting ML and Data Science Platforms practices of model-assisted translation with gated human review. The engagement was scoped as a United States law enforcement and public sector implementation executed through pilot rollouts and later discussed in a joint webinar and recap published in 2023. Governance focused on translator in the loop review and data purge controls, and the FBI reported measurable translator efficiency gains across multilingual workloads in government operations use cases.
National Weather Service Professional Services 20 $4M United States LILT Lilt ML and Data Science Platforms 2021 n/a
In 2021, the National Weather Service began pilots using Lilt to provide AI-powered translation technology for multilingual forecasts, warnings and outreach. Lilt was deployed as an ML and Data Science Platforms solution to automate translation workflows, with initial focus on Spanish and Simplified Chinese for U.S. communities with limited English proficiency. The implementation integrated Lilt's machine translation capabilities into forecast and alert content pipelines to enable automated translation of storm products and public safety messages. Phase one of an experimental multilingual weather.gov site launched in 2023, representing a staged move from pilot translations to public-facing multilingual content across selected forecast product types. The program was operated as an experimental pilot with phased rollout across languages and prioritized product types to align with regional outreach needs and emergency communications. The National Weather Service reported that translation time for certain storm products fell by over 83 percent, a result cited as improving regional public-safety communications.
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Buyer Intent: Companies Evaluating Lilt

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Lilt. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Lilt for ML and Data Science Platforms include:

  1. Modern Aviation, a United States based Transportation organization with 210 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Lilt Coverage

Lilt is a ML and Data Science Platforms solution from LILT.

Companies worldwide use Lilt, from small firms to large enterprises across 21+ industries.

Organizations such as Federal Bureau of Investigation, Box and National Weather Service are recorded users of Lilt for ML and Data Science Platforms.

Companies using Lilt are most concentrated in Government and Professional Services, with adoption spanning over 21 industries.

Companies using Lilt are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Lilt across Americas, EMEA, and APAC.

Companies using Lilt range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Lilt include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Lilt customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.