List of Microsoft Bing Spell Check Customers
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Since 2010, our global team of researchers has been studying Microsoft Bing Spell Check 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 Microsoft Bing Spell Check 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 Microsoft Bing Spell Check for Natural Language Processing include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, Make, a Czech Republic based Professional Services organisation with 308 employees and revenues of $50.0 million, SWOOP Analytics, a Australia based Professional Services organisation with 29 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Bing Spell Check, 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 Microsoft Bing Spell Check 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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Make | Professional Services | 308 | $50M | Czech Republic | Microsoft | Microsoft Bing Spell Check | Natural Language Processing | 2025 | Msquare |
In 2025, Make integrated Microsoft Bing Spell Check as a verified module on its no-code automation platform, positioning Microsoft Bing Spell Check within the Natural Language Processing category to provide platform customers with embedded spell-checking and text validation capabilities. The deployment is delivered from Make’s Prague based platform, enabling global consumption of the verified module by customers building automation workflows across marketing, customer experience, HR and other process areas.
The Microsoft Bing Spell Check module is exposed as a no-code component that can be configured inside visual automation flows to perform automated text validation and content quality checks before downstream processing. Functionally the implementation emphasizes spell checking and text normalization as inline steps inside workflow pipelines, allowing users to route, condition, and enrich content without custom coding. Configuration is managed through Make’s module catalog and the verified module model, enabling reuse across multiple automation templates and scenarios.
The integration is supported by partner MSquare Automation Solutions, which assisted in bringing the verified module into Make’s integration catalog and supporting customer onboarding globally. Operational coverage spans marketing, customer experience, HR and related business functions where automated text validation is required, and governance is provided through Make’s verified module lifecycle and catalog controls to manage provisioning and updates. The stated outcome is automated text validation to improve content quality in downstream processes, with the Microsoft Bing Spell Check capability available for customers to add directly into their automation workflows.
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Microsoft | Professional Services | 221000 | $243.0B | United States | Microsoft | Microsoft Bing Spell Check | Natural Language Processing | 2025 | n/a |
In 2025, Microsoft integrated Microsoft Bing Spell Check into Language Understanding LUIS to correct user utterances before intent prediction, creating a pre processing layer within its Natural Language Processing stack. The implementation is documented in public Azure documentation and is scoped to conversational AI and CRM developer tooling in the United States, where spell normalization is applied to incoming user text prior to classification.
The Microsoft Bing Spell Check integration is configured as a preprocessing module that normalizes misspellings and common typographical variations, then forwards cleaned utterances to LUIS intent prediction. Microsoft Bing Spell Check is used to reduce tokenization and entity parsing errors, enabling the Natural Language Processing pipeline to present more consistent input to intent classification and entity extraction components.
Operationally the work is embedded in developer tooling for conversational bots and CRM integrations, with the Microsoft Bing Spell Check call invoked before LUIS model scoring in the request pipeline. The architecture positions the spell check service as a synchronous preprocessing step in the Azure hosted conversational flow, and the public Azure docs are the reference for developers implementing the pattern.
Governance is enforced through documentation and developer guidance in Azure docs, standardizing the preprocessing step for teams building conversational AI and CRM bots, and the integration explicitly normalizes misspellings to improve intent classification. The documented outcome is improved natural language understanding accuracy for conversational bots, as shown in Microsoft guidance on using Bing Spell Check with LUIS.
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SWOOP Analytics | Professional Services | 29 | $6M | Australia | Microsoft | Microsoft Bing Spell Check | Natural Language Processing | 2025 | n/a |
In 2025, SWOOP Analytics integrated Microsoft Bing Spell Check into its SWOOP for SharePoint product. The Microsoft Bing Spell Check integration, leveraging Natural Language Processing, is focused on validating suspected spelling mistakes in SharePoint intranet content used for internal communications and HR, managed from SWOOP in Australia.
Implementation embeds Microsoft Bing Spell Check as a validation step within SWOOP for SharePoint's content quality workflows, where SWOOP flags suspected issues and invokes Microsoft Bing Spell Check to confirm or reject spelling suggestions before presenting results to content owners. The configuration concentrates on inline validation and suggestion presentation inside the SharePoint experience, aligning with standard Natural Language Processing spelling and language detection capabilities.
Operational coverage is the internal communications and HR SharePoint intranet area, and the integration is positioned to reduce false positives and improve content accuracy for customers. Governance centers on augmenting SWOOP for SharePoint's existing content review flow, using automated validation to change how flagged items are surfaced and to lower noise for content editors.
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