List of NLP Cloud Platform Customers
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Since 2010, our global team of researchers has been studying NLP Cloud Platform 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 NLP Cloud Platform 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 NLP Cloud Platform for Natural Language Processing include: Laboratoire D'Appareillage Oculaire, a France based Life Sciences organisation with 10 employees and revenues of $2.0 million, Kwatch, a United States based Construction and Real Estate organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using NLP Cloud Platform, 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 NLP Cloud Platform 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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Kwatch | Construction and Real Estate | 10 | $1M | United States | NLP Cloud | NLP Cloud Platform | Natural Language Processing | 2024 | n/a | In 2024, Kwatch integrated the NLP Cloud Platform for Natural Language Processing to power real-time social listening across Reddit, X, and Hacker News. The engagement targeted marketing and social listening market intelligence in the United States, and used NLP Cloud APIs and custom models as described in the vendor blog post. The implementation centered on integrating sentiment-analysis, named-entity recognition, and semantic-similarity APIs from NLP Cloud, and exposing custom model endpoints to enrich extracted signals. Configuration included API-driven pipelines that normalized incoming text, applied NER and sentiment scoring, and computed semantic similarity for topic grouping and signal deduplication, improving processing throughput and sentiment accuracy. Operational integration consisted of real-time ingestion from the three social platforms into an API-based processing pipeline that called the NLP Cloud Platform for model inference. Outputs were routed to marketing market intelligence workflows for alerting and analyst review, establishing a data flow from platform APIs through NLP Cloud inference to downstream dashboards and tagging systems. Governance and operationalization focused on endpoint configuration, model endpoint management, and embedding results into marketing workflows for signal triage and reporting. The engagement emphasized ongoing use of NLP Cloud APIs and custom models to maintain classification fidelity for Kwatch marketing and social listening use cases. | |
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Laboratoire D'Appareillage Oculaire | Life Sciences | 10 | $2M | France | NLP Cloud | NLP Cloud Platform | Natural Language Processing | 2024 | n/a | In 2024 Laboratoire D'Appareillage Oculaire implemented the NLP Cloud Platform to automate incoming support ticket triage, leveraging the vendor's classification API as part of a Natural Language Processing initiative for customer support. The work targeted customer support and CRM workflows in France, with a focus on faster identification and handling of urgent and medical requests. The implementation used the NLP Cloud Platform classification endpoint to label and prioritize incoming tickets, with classification outputs pushed into the company's support ticketing and CRM workflow to drive initial routing and priority flags. Configuration centered on classification-driven triage logic rather than additional vendor modules, and the integration pattern relied on API calls from LAO's support system into NLP Cloud's classification endpoint as described in the vendor customer reference. Operational scope remained focused on customer support operations in France, where workflow rules were updated so automated labels feed into triage decisions and escalation paths. Laboratoire D'Appareillage Oculaire reported a 60% reduction in triage time, enabling faster handling of urgent and medical requests while keeping implementation scope narrowly aligned to Natural Language Processing classification capabilities. |
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