List of IBM Watson Tone Analyzer Customers
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Since 2010, our global team of researchers has been studying IBM Watson Tone Analyzer 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 IBM Watson Tone Analyzer for Speech Recognition AI 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 IBM Watson Tone Analyzer for Speech Recognition AI include: German Aerospace Center Germany, a Germany based Government organisation with 11183 employees and revenues of $1.50 billion, Ferrovie dello Stato Italiane, a Italy based Transportation organisation with 582 employees and revenues of $180.0 million, Truis, a Australia based Professional Services organisation with 80 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using IBM Watson Tone Analyzer, 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 IBM Watson Tone Analyzer 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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Ferrovie dello Stato Italiane | Transportation | 582 | $180M | Italy | IBM | IBM Watson Tone Analyzer | Speech Recognition AI | 2019 | Ibm |
In 2019, Ferrovie dello Stato Italiane worked with IBM Services to build a Watson based virtual assistant that incorporates IBM Watson Tone Analyzer as a core component of a Speech Recognition AI solution. The announcement in June 2019 linked the deployment directly to passenger customer service and digital travel assistance use cases across Italy.
The implementation combined IBM Watson Assistant, Natural Language Understanding, a Classifier module and IBM Watson Tone Analyzer to handle intent detection, query classification and emotional tone analysis within conversational flows. IBM Watson Tone Analyzer was used to surface conversational sentiment and adjust response strategies, while the Classifier and NLU components managed routing and intent resolution.
IBM Services acted as the implementation partner delivering the composite conversational architecture and integrating the assistant into customer service channels that support travellers. Operational coverage targeted passenger customer service operations and digital travel assistance teams, providing a continuous front line for requests and inquiries.
Governance was established as a collaboration between Ferrovie dello Stato Italiane and IBM Services, with a rollout objective to provide 24/7 personalized support and faster responses to travellers. The collaboration aimed to improve overall customer experience metrics through the Speech Recognition AI implementation without specifying quantifiable outcomes.
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German Aerospace Center Germany | Government | 11183 | $1.5B | Germany | IBM | IBM Watson Tone Analyzer | Speech Recognition AI | 2019 | n/a |
In 2019, German Aerospace Center Germany integrated IBM Watson Tone Analyzer into the CIMON-2 astronaut assistant as part of a joint project with Airbus to assess crew emotional state during operations aboard the International Space Station. The implementation positioned IBM Watson Tone Analyzer within a voice processing pipeline alongside IBM Watson Speech to Text and Watson Assistant to convert astronaut speech into transcribed text, analyze affective tone, and surface emotional signals to the conversational agent. This deployment is categorized as Speech Recognition AI and was executed in a research and space operations context to support human-machine interaction experiments.
Functionally the integration delivered emotion detection capability to CIMON-2, enabling Watson Assistant to adapt dialogue flows based on IBM Watson Tone Analyzer output and provide more empathetic, situationally aware interactions with astronauts. Operational scope included space operations and research workflows supporting the International Space Station, impacting crew support and human-machine interaction functions. Governance followed experiment protocols and operational safety constraints for on orbit software that mediate automated or assisted responses to detected emotional states. The architecture used modular voice processing components with event driven messaging between Speech to Text, IBM Watson Tone Analyzer, and Watson Assistant to preserve conversational context and situational awareness.
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Truis | Professional Services | 80 | $8M | Australia | IBM | IBM Watson Tone Analyzer | Speech Recognition AI | 2017 | n/a |
In 2017, Truis implemented IBM Watson Tone Analyzer, a Speech Recognition AI application. The initial deployment introduced tone and sentiment analysis into Truis's customer communications capabilities, aligning the IBM Watson Tone Analyzer with customer service and CRM-oriented workflows.
Configuration work emphasized text analytics, tone classification, and sentiment scoring consistent with Speech Recognition AI functional patterns, with policies to flag negative sentiment and surface interactions for human follow-up. Implementation activities included API-based ingestion of customer messages, rulesets for automated tagging and escalation, and lightweight orchestration to inform customer service routing and agent prioritization.
An IBM case study documents a parallel project at Computer Merchants, reporting the 2017 integration of IBM Watson Tone Analyzer into a CRM customer-service email pipeline in Australia, and noting faster identification of customer dissatisfaction and operational improvements by 2018. The case study reinforces a CRM-centric deployment pattern for IBM Watson Tone Analyzer within Speech Recognition AI use cases for customer service.
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