List of IBM Watson Visual Recognition Customers
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Since 2010, our global team of researchers has been studying IBM Watson Visual Recognition 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 Visual Recognition for Computer Vision 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 Visual Recognition for Computer Vision include: Japan Airlines, a Japan based Transportation organisation with 38433 employees and revenues of $12.31 billion, York University, a Canada based Education organisation with 7000 employees and revenues of $1.75 billion, Autoglass BodyRepair, a United Kingdom based Automotive organisation with 250 employees and revenues of $16.0 million and many others.
Contact us if you need a completed and verified list of companies using IBM Watson Visual Recognition, 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 Artificial Intelligence software purchases.
The IBM Watson Visual Recognition 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 Artificial Intelligence 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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Autoglass BodyRepair | Automotive | 250 | $16M | United Kingdom | IBM | IBM Watson Visual Recognition | Computer Vision | 2017 | n/a | In 2017, Autoglass BodyRepair implemented IBM Watson Visual Recognition to assess vehicle damage and generate customer quotes, leveraging Computer Vision capabilities on its website. Customers upload images of vehicle damage and enter basic vehicle and contact details, the Watson service evaluates eligibility and issues a quote when it can, and customers may then book a service time and enter credit card details to facilitate payment after repairs are completed. The IBM Watson Visual Recognition deployment uses a curated image library of roughly 2,000 images to analyze and organize customer photos using four classifiers, type of vehicle, mobile repairable, product code and technician. Classifier outputs are mapped to repair cost determination logic and to product code identification, enabling automated quote calculation and photo triage as part of the intake workflow. Core functional capabilities implemented include image classification, automated quote generation, and classification-driven routing. Architecturally the solution is centered on a web-based image upload workflow that invokes IBM Watson Visual Recognition for inference, returning classification results that populate quote fields and booking options. Operational coverage is customer-facing intake on the Autoglass BodyRepair website and downstream use by scheduling and technician assignment teams operating in the United Kingdom. Payment capture is handled via customer-provided credit card details entered through the website after repairs are performed. Governance and process design embed an automated triage plus manual escalation pattern, when the Watson service cannot calculate a quote the company contacts the customer and determines costs through the normal manual process. The four classifiers act as decision gates for routing submissions into automated quoting or manual review, supporting parts identification and technician allocation based on product code and technician classifiers. The implementation centers on Computer Vision driven intake supporting quoting, scheduling and technician allocation workflows. | |
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Japan Airlines | Transportation | 38433 | $12.3B | Japan | IBM | IBM Watson Visual Recognition | Computer Vision | 2018 | n/a | In 2018, Japan Airlines integrated IBM Watson Visual Recognition into its Makana-chan conversational assistant. IBM Watson Visual Recognition, part of the Computer Vision category, analyzes customer photos to detect age, gender and other characteristics and refines travel recommendations through attribute extraction and profile enrichment. The implementation configured IBM Watson Visual Recognition outputs to feed Makana-chan's recommendation engine, enabling mapping of visual attributes to tailored advice and content. IBM Watson Personality Insights is explicitly integrated to analyze customers' Facebook and Twitter posts when customers log in, assigning travelers to one of nine personality types that Makana-chan uses to adapt messaging and suggestions. Functional modules include image analysis, personality scoring, profile enrichment and recommendation orchestration. Integration points center on customer login and conversational flows where social post ingestion and photo analysis occur in real time to update traveler profiles. The deployment architecture links IBM Watson Visual Recognition and IBM Watson Personality Insights into the Makana-chan digital assistant, enabling synchronous profile updates and recommendation adjustments during customer interactions. Operational scope is customer facing across Japan Airlines digital touchpoints and supports traveler engagement workflows. Governance is organized around login triggered data capture and profile assignment, with personality and visual attributes mapped into the recommendation ruleset used by Makana-chan. The configuration allows Japan Airlines to combine visual and behavioral signals to deliver highly personalized recommendations and communications, a capability the airline cites as differentiating it from peers in Japan. Japan Airlines IBM Watson Visual Recognition Computer Vision supports customer experience, personalization and marketing functions through this integrated profile driven recommendation approach. | |
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York University | Education | 7000 | $1.8B | Canada | IBM | IBM Watson Visual Recognition | Computer Vision | 2020 | n/a | In 2020 York University implemented IBM Watson Visual Recognition to support a skin cancer detection research project, integrating IBM Watson Visual Recognition and Watson Assistant into a Computer Vision workflow. The deployment focused on model development and an online demonstrator, with the project run using Python locally and production hosting on IBM Cloud. The implementation included custom image scraping and dataset engineering, images mined from multiple medical websites and Google Images and classified through manual and scripted labeling workflows. The team created and configured the visual recognition project inside Watson Studio, loaded data assets, and executed iterative training cycles for the IBM Watson Visual Recognition model using supervised image classification pipelines. Integrations were explicit and pragmatic, the visual recognition model was linked to Watson Assistant to surface results through a conversational interface, and the application was executed locally in Python before being deployed to IBM Cloud for online access. The architecture therefore combined Watson Studio model training artifacts, the IBM Watson Visual Recognition service for inference, Watson Assistant for interaction, and IBM Cloud for runtime hosting and resource consumption. Operational governance emphasized dataset curation and retraining cadence, reproducible training projects in Watson Studio, and deployment controls for the cloud hosted application, with paid cloud resources used during development and a provided estimate of production costs. The work produced an online deployed application for skin cancer detection research using IBM Watson Visual Recognition, maintaining clear separation between data ingestion, model training, inference, and conversational access. |
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FAQ - APPS RUN THE WORLD IBM Watson Visual Recognition Coverage
IBM Watson Visual Recognition is a Computer Vision solution from IBM.
Companies worldwide use IBM Watson Visual Recognition, from small firms to large enterprises across 21+ industries.
Organizations such as Japan Airlines, York University and Autoglass BodyRepair are recorded users of
IBM Watson Visual Recognition for Computer Vision.
Companies using IBM Watson Visual Recognition are most concentrated in Transportation, Education and Automotive, with adoption spanning over 21 industries.
Companies using IBM Watson Visual Recognition are most concentrated in Japan, Canada and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Watson Visual Recognition across Americas, EMEA, and APAC.
Companies using IBM Watson Visual Recognition range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.
Customers of IBM Watson Visual Recognition 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 Visual Recognition customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Computer Vision.