AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of IBM Watson Natural Language Understanding Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Accrete.AI Banking and Financial Services 40 $4M United States IBM IBM Watson Natural Language Understanding Natural Language Processing 2016 x
In 2016, Accrete.AI implemented IBM Watson Natural Language Understanding as a core component of its Natural Language Processing stack to support investment research and analytics for Banking and Financial Services. The deployment also incorporated IBM Watson Knowledge Studio and IBM Watson Discovery alongside human expert networks and proprietary deep learning techniques to create bias-free, contextually adaptive tools that deliver highly accurate investment insights. The implementation centered on linguistic annotation and custom model training in IBM Watson Knowledge Studio, entity and concept extraction plus sentiment and syntactic analysis in IBM Watson Natural Language Understanding, and unstructured content indexing and relevance scoring in IBM Watson Discovery. Functional capabilities implemented included domain-specific entity recognition, contextual relevance scoring, document enrichment pipelines, and automated tagging workflows to prepare investment signals for downstream analytics. Operational coverage focused on Accrete.AI's investment research and data science functions, where governance emphasized bias mitigation and context adaptation through combined human expert review and algorithmic retraining. The architecture tied Watson Natural Language Understanding and Watson Discovery into Accrete.AI's proprietary deep learning models and expert feedback loops, enabling iterative model updates and maintained contextual accuracy for investment insight generation.
InMoment Professional Services 1000 $240M United States IBM IBM Watson Natural Language Understanding Natural Language Processing 2016 x
In 2016, InMoment deployed IBM Watson Natural Language Understanding as part of a Natural Language Processing initiative to extract deeper insight from customer feedback and surveys. The implementation embedded IBM Watson Natural Language Understanding into InMoment’s feedback analytics workflow to surface sentiment, entities, and topic signals across multi-channel survey inputs, with an emphasis on applying Watson’s machine learning capabilities to continuously learn from new responses. IBM Watson Natural Language Understanding was configured to provide entity extraction, sentiment analysis, and topic classification modules that supported customization at the individual respondent level, improving survey question effectiveness and interpretation. Operational coverage focused on survey analytics and customer experience functions, aligning analytics, data science, and product teams around automated text processing and ongoing model training and governance. This InMoment IBM Watson Natural Language Understanding Natural Language Processing deployment enabled the solution to continuously learn and understand what customers are talking about, to customize analysis based on individuals, and to make surveys more effective.
Intersections Inc Professional Services 1000 $100M United States IBM IBM Watson Natural Language Understanding Natural Language Processing 2016 x
In 2016 Intersections Inc implemented IBM Watson Natural Language Understanding to develop an AI powered solution that supports individual risk assessments and real time identity threat and ID verification alerts. The deployment used IBM Watson Natural Language Understanding as the core Natural Language Processing capability, integrating text analytics into transactional and case workflows to extract contextual signals from identity related documents and communications. The implementation focused on Natural Language Processing functions including entity extraction, classification, sentiment and concept analysis to surface attributes relevant to identity risk scoring. IBM Watson Natural Language Understanding was configured to feed parsed events into alerting logic and case management pipelines, enabling automated flagging and analyst review of suspicious identity events. Operational scope covered fraud operations, identity verification teams and risk assessment functions within Intersections Inc, with governance implemented around model configuration, threshold tuning and human review workflows for alerts. The deployment emphasized embedding Natural Language Processing into policy driven alert generation and analyst triage, aligning the IBM Watson Natural Language Understanding capability with ongoing identity verification and threat detection processes.
Professional Services 30 $5M United States IBM IBM Watson Natural Language Understanding Natural Language Processing 2017 x
Media 20 $2M United States IBM IBM Watson Natural Language Understanding Natural Language Processing 2016 x
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Buyer Intent: Companies Evaluating IBM Watson Natural Language Understanding

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM Watson Natural Language Understanding. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM Watson Natural Language Understanding for Natural Language Processing include:

  1. Elite Computers Kenya, a Kenya based Retail organization with 25 Employees
  2. Ostfalia University of Applied Sciences, a Germany based Education company with 850 Employees

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FAQ - APPS RUN THE WORLD IBM Watson Natural Language Understanding Coverage

IBM Watson Natural Language Understanding is a Natural Language Processing solution from IBM.

Companies worldwide use IBM Watson Natural Language Understanding, from small firms to large enterprises across 21+ industries.

Organizations such as InMoment, Intersections Inc, LegalMation, Accrete.AI and Opentopic Inc are recorded users of IBM Watson Natural Language Understanding for Natural Language Processing.

Companies using IBM Watson Natural Language Understanding are most concentrated in Professional Services, Banking and Financial Services and Media, with adoption spanning over 21 industries.

Companies using IBM Watson Natural Language Understanding are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Watson Natural Language Understanding across Americas, EMEA, and APAC.

Companies using IBM Watson Natural Language Understanding range from small businesses with 0-100 employees - 60%, to mid-sized firms with 101-1,000 employees - 40%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of IBM Watson Natural Language Understanding include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified IBM Watson Natural Language Understanding customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.