List of AI21 Labs Customers
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Since 2010, our global team of researchers has been studying AI21 Labs customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased AI21 Labs for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using AI21 Labs for Natural Language Processing include: Fnac Darty, a France based Retail organisation with 30000 employees and revenues of $8.00 billion, Ubisoft, a France based Media organisation with 17800 employees and revenues of $2.66 billion, Write Label, a United States based Media organisation with 212 employees and revenues of $35.0 million and many others.
Contact us if you need a completed and verified list of companies using AI21 Labs, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The AI21 Labs customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Fnac Darty | Retail | 30000 | $8.0B | France | AI21 Labs | AI21 Labs | Natural Language Processing | 2025 | n/a | In 2025 Fnac Darty selected AI21 Labs to deploy Maestro, AI21 Labs' agent orchestration platform, to automate and improve after sales and technician support across its European retail operations. The initial implementation scope focuses on the after sales service process area in France as the starting pilot region. The deployment uses the Maestro agent orchestration platform to configure multi agent workflows for service request triage, diagnostic decision support, and technician guidance. Configuration concentrated on ingesting historical and real time service data to drive automated recommendations and to reduce errors and unnecessary home visits, aligning application workflows with standard field service processes and help desk operations. Integrations are scoped to internal service data stores and field technician workflows, enabling Maestro to analyze service histories and live service events without naming specific upstream systems. Operational coverage begins with after sales teams and technician crews in France with plans to extend across broader European retail sites as pilots validate the orchestration patterns. Governance is organized around phased pilot governance and operational stakeholder review, with staged rollouts and pilot-to production progression. The partnership announcement positions AI21 Labs to analyze historical and real time service data to reduce errors and unnecessary home visits, with first live rollouts reasonably estimated during 2026 as pilots scale to production. | |
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Ubisoft | Media | 17800 | $2.7B | France | AI21 Labs | AI21 Labs | Natural Language Processing | 2023 | n/a | In 2023, Ubisoft implemented AI21 Labs for content-production/data-augmentation in its creative game development process. Ubisoft used AI21 Labs language models to augment game writing workflows, focusing on automating repetitive writing tasks and accelerating authoring for game writers. The implementation centered on language model capabilities for paraphrase generation, bulk generation of NPC 'bark' lines, and the production of large fine tuning datasets to scale training material. AI21 Labs was configured to generate candidate content and produce labeled variations, enabling writers to select, edit, and iterate rather than authoring every line from scratch. Integration work connected AI21 Labs outputs into Ubisoft's writer tools and authoring pipelines, embedding generated text into existing dialogue and content management flows used by development teams. Operational scope targeted game writing and creative teams within game development, augmenting writer workflows across title production while leaving core engine and runtime systems unchanged. Governance emphasized workflow augmentation and dataset curation, with writers retaining editorial control and curators validating generated material before inclusion in training sets. The AI21 Labs case study reported a measurable scale up of training data and faster authoring within Ubisoft's writer tools in 2023. | |
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Write Label | Media | 212 | $35M | United States | AI21 Labs | AI21 Labs | Natural Language Processing | 2024 | n/a | In 2024, Write Label implemented AI21 Labs as a content-generation solution to automate radio and short form advertising script creation for its media customers in the United States. The deployment used a custom AI21 model built on the J2 Jurassic-2 architecture and was delivered via AI21 Studio, with production use documented in AI21's February 2024 case study. The implementation centered on script generation modules and creative copy workflows, embedding AI21 Labs model endpoints into Write Label's production content pipeline to produce multiple script variants, apply tone controls, and accelerate draft generation. Configuration work included prompt engineering, template orchestration, and API based model invocation to replace manual authoring steps and enable near real time script output. Operational scope covered the media creative process and ad operations functions for US customers, with Write Label reporting a reduction in writing turnaround from hours to seconds and reducing writing costs by ~95% for the writing component. Governance practices documented alongside the deployment included model versioning and production monitoring as noted in AI21's Feb 2024 case study, and production use was reported in 2024. |
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