List of LearningMate Kadal AI Customers
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United States
Since 2010, our global team of researchers has been studying LearningMate Kadal AI 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 LearningMate Kadal AI for AI Frameworks and Libraries 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 LearningMate Kadal AI for AI Frameworks and Libraries include: New Mexico, a United States based Government organisation with 27023 employees and revenues of $35.80 billion, Midatahub United States, a United States based Education organisation with 25 employees and revenues of $4.0 million, F.A. Davis Company, a United States based Professional Services organisation with 6 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using LearningMate Kadal AI, 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 LearningMate Kadal AI 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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F.A. Davis Company | Professional Services | 6 | $1M | United States | LearningMate | LearningMate Kadal AI | AI Frameworks and Libraries | 2024 | n/a | In 2024, F.A. Davis Company partnered with LearningMate to deploy LearningMate Kadal AI as the core of a new digital product infrastructure for nursing and health science content. The implementation targeted the publishing and content development function in the United States and delivered multiple digital titles while streamlining content development workflows. LearningMate Kadal AI was applied to automate content ingestion and conversion, provide semantic enrichment and metadata normalization, and support AI assisted authoring and editorial review workflows, reflecting capabilities consistent with the AI Frameworks and Libraries category. Configuration emphasized template driven publishing pipelines and modular content components to accelerate title assembly and reuse across product editions. Operational workstreams focused on embedding Kadal content tools into F.A. Davis editorial workflows and content development pipelines, with content teams and product managers as primary users. The engagement prioritized automated content packaging for digital formats and orchestration of review cycles rather than named third party system integrations. Governance and process changes included revised content quality checkpoints and standardized metadata governance to support repeatable title production and downstream distribution, with rollout executed as a publishing and content engagement across multiple digital titles. The application of LearningMate Kadal AI in this engagement is inferred from vendor materials referencing Kadal content tools rather than being explicitly named in the F.A. Davis case study. | |
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Midatahub United States | Education | 25 | $4M | United States | LearningMate | LearningMate Kadal AI | AI Frameworks and Libraries | 2013 | Double Line | In 2013 Midatahub United States engaged LearningMate with system integrator Double Line to deploy LearningMate Kadal AI as an AI Frameworks and Libraries solution for Michigan’s statewide K-12 data integration and analytics hub. The initiative established a centralized Ed-Fi data integration and analytics architecture to consolidate district reporting feeds and standardize student and program data for state reporting and operational analytics. The deployment configured core capabilities around standardized data ingestion and validation, Ed-Fi compliant data modeling, and analytics services. LearningMate Kadal AI was applied as an AI and machine learning workbench to support model development, feature engineering, and orchestration of AI/ML workflows alongside the analytic pipeline, aligning with typical AI Frameworks and Libraries functionality. Integrations centered on Ed-Fi data exchange with district student information systems and state reporting feeds to populate the hub, supporting analytics and reporting use cases across the K-12 public education domain. Operational coverage was statewide in Michigan, and the implementation supported data teams within the state education agency and district analytics groups. Governance emphasized centralized data governance, standardized data contracts, and workflow automation for data submission and validation coordinated by the state. The program produced an explicitly stated estimated annual savings of more than $41 million and an 830 percent return on investment according to the vendor study, outcomes reported for the public sector engagement in Michigan. | |
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New Mexico | Government | 27023 | $35.8B | United States | LearningMate | LearningMate Kadal AI | AI Frameworks and Libraries | 2025 | n/a | In 2025, New Mexico engaged LearningMate to design and build a multi agency P20W+ longitudinal data system connecting ECECD, PED, HED and DWS. The deployment centered on LearningMate Kadal AI, classified as AI Frameworks and Libraries, to provide a platform for statewide cross agency analytics and student lifecycle intelligence. The implementation included a P20W+ common data model, ingest and ETL pipelines, probabilistic record matching and identity resolution capabilities, and an analytical layer for cross agency reporting and cohort analysis. LearningMate Kadal AI was used to enable AI assisted analytics workflows and model orchestration, an interpretation inferred from the vendor case study rather than explicitly declared by the state. Integrations consolidated administrative data feeds from the Early Childhood Education and Care Department, the Public Education Department, the Higher Education Department and the Department of Workforce Solutions, enabling longitudinal linking across pre K through workforce. Operational coverage spanned multiple state agencies across New Mexico and focused on supporting analytics for student outcomes and cross agency policy analysis. Project governance established cross agency data sharing agreements, role based access controls, and an enterprise data governance process to manage matching rules and analytic model deployment. The stated objective of the implementation is to improve student outcomes and cross agency analytics, as reflected in the state engagement and vendor documentation. |
Buyer Intent: Companies Evaluating LearningMate Kadal AI
- Reso India, a India based Professional Services organization with 20 Employees
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