List of Kyvos Dialogs Customers
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Since 2010, our global team of researchers has been studying Kyvos Dialogs 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 Kyvos Dialogs for Generative AI Platforms 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 Kyvos Dialogs for Generative AI Platforms include: Walgreens, a United States based Retail organisation with 206000 employees and revenues of $139.08 billion, Verizon, a United States based Communications organisation with 99400 employees and revenues of $134.79 billion, Bell, a Canada based Communications organisation with 40390 employees and revenues of $24.41 billion and many others.
Contact us if you need a completed and verified list of companies using Kyvos Dialogs, 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 Kyvos Dialogs 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 |
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Bell | Communications | 40390 | $24.4B | Canada | Kyvos | Kyvos Dialogs | Generative AI Platforms | 2025 | n/a |
In 2025 Bell began adopting Kyvos Dialogs as an extension of its existing Kyvos deployment, positioning Kyvos Dialogs within the Generative AI Platforms category to introduce conversational analytics for enterprise BI consumers. Bell previously worked with Kyvos together with MicroStrategy to scale BI for thousands of users in Canada, delivering faster self service analytics and broader access to enterprise insights, and the 2025 Kyvos Dialogs launch supports a conversational layer on that foundation.
Implementation focused on embedding Kyvos Dialogs as a conversational interface layered on top of Bell's Kyvos semantic model and BI fabric, enabling natural language query and conversational analytics workflows for business users. Kyvos Dialogs was configured to surface prebuilt semantic metrics and dimensions from Kyvos, and to route complex analytical requests into the existing BI query engine, preserving governed data models and business logic.
Integrations concentrated on the existing Kyvos deployment and the MicroStrategy environment used by Bell, extending enterprise BI access across Canada and to thousands of enterprise BI consumers. Operational scope targeted Bell's enterprise analytics population rather than a single line of business, with Dialogs intended to reduce friction in ad hoc querying and broaden self service consumption of curated metrics.
Governance attention emphasized conversational query controls, access management, and alignment with Bell's established data governance and semantic layer to ensure consistent definitions and secure data access. The narrative is based on Bell's prior Kyvos scale out with MicroStrategy and an inferred Dialogs adoption tied to the product's 2025 availability, with Kyvos Dialogs serving as a Generative AI Platforms addition to Bell Application Generative AI Platforms business function.
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Verizon | Communications | 99400 | $134.8B | United States | Kyvos | Kyvos Dialogs | Generative AI Platforms | 2025 | n/a |
In 2025 Verizon deployed Kyvos Dialogs as part of its Generative AI Platforms footprint in the United States. Verizon has publicly reported using Kyvos to reduce analytic query times from hours or days to seconds for business analytics and decision support, improving responsiveness for technical and business teams.
Kyvos Dialogs provides conversational Q&A capabilities layered on enterprise semantic models, enabling natural language queries and iterative dialogue over aggregated BI datasets. Based on Verizon's Kyvos deployment and Kyvos' 2025 Dialogs release, Kyvos Dialogs would enable conversational Q&A over Verizon's enterprise semantic models, using intent parsing and context retention typical of Generative AI Platforms.
Operational coverage centers on business analytics and decision support workflows, where Kyvos Dialogs augments existing BI query patterns to lower latency for analysts and product decisioning teams. The deployment impacts technical and business teams across analytics and data engineering functions within the United States, improving access to model-driven insights.
Governance and process changes emphasize semantic model stewardship, conversational prompt governance, and alignment with existing analytics access controls to preserve data accuracy and security. Implementation narratives focus on instrumenting Kyvos Dialogs against Verizon's enterprise semantic layer, integrating conversational interfaces into established analytical workflows without naming additional integration vendors.
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Walgreens | Retail | 206000 | $139.1B | United States | Kyvos | Kyvos Dialogs | Generative AI Platforms | 2025 | n/a |
In 2025 Walgreens extended its Kyvos deployment by adopting Kyvos Dialogs, leveraging conversational analytics from Kyvos within Generative AI Platforms to accelerate operational decision making. The move builds on an existing Kyvos footprint used across the United States for supply-chain and retail analytics, where Kyvos has enabled instant drilldowns into large historical datasets and materially faster time-to-insight for operations teams.
Kyvos Dialogs was configured to provide conversational analytics and natural language query over dimensional data models, enabling supply chain planners and merchandising analysts to ask questions and receive contextual drilldowns without manual query development. The implementation emphasized dialog driven exploration layered on Kyvos cubes, aligning conversational intents with existing analytical models and dashboards to preserve high cardinality analytics and instant drill paths.
Rollout focused on embedding Kyvos Dialogs into operational workflows for supply chain and merchandising users in the United States, with role based access and staged enablement to validate conversational coverage of inventory, demand and replenishment scenarios. Governance centered on standardizing query intents and change controls for analytical models to ensure consistent outputs, while reported outcomes include materially faster time-to-insight for operations teams and immediate access to historical detail.
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