List of Vidora Cortex Customers
Vidora
185 Clara Street Suite 102A,
San Francisco, 94107, CA,
United States
San Francisco, 94107, CA,
United States
1 415-237-3423
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying Vidora Cortex 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 Vidora Cortex for ML and Data Science Platforms 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 Vidora Cortex for ML and Data Science Platforms include: The Wall Street Journal, a United States based Media organisation with 5000 employees and revenues of $900.0 million, MarketWatch, a Dow Jones Company, a United States based Media organisation with 500 employees and revenues of $100.0 million, New York Post, a United States based Media organisation with 1000 employees and revenues of $100.0 million, The Chronicle, a Australia based Media organisation with 500 employees and revenues of $100.0 million, The Eastern Palace Chinese Restaurant, a Australia based Media organisation with 170 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Vidora Cortex, 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 Vidora Cortex 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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Body and Soul | Media | 25 | $6M | Australia | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
In 2019, Body and Soul deployed Vidora Cortex on its website. Vidora Cortex serves as the ML and Data Science Platforms implementation, providing model operationalization for web-delivered experiences with platform-hosted model training pipelines, feature engineering workflows, and API-based scoring integrated into page request flows. The deployment centers on embedding inference into the site content delivery path to enable data-driven content and audience handling at runtime.
Operational scope is explicitly the Body and Soul website, where Vidora Cortex supports content personalization and audience segmentation workflows for editorial and product teams. Governance and model lifecycle activities are managed within the Vidora Cortex environment, including model versioning and experiment iterations tied to editorial release cycles. The Body and Soul Vidora Cortex ML and Data Science Platforms relationship positions the application as the primary framework for online personalization and predictive audience work on the site.
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Echo Beach Trading | Leisure and Hospitality | 5 | $1M | Australia | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
In 2019, Echo Beach Trading deployed Vidora Cortex on its Australian website. Echo Beach Trading implemented Vidora Cortex in the ML and Data Science Platforms category to enable site-level machine learning capabilities for customer engagement and on-site personalization. The company operates in leisure and hospitality with a small team of five employees, which shaped a lightweight, web-centric deployment model.
The Vidora Cortex implementation focused on typical ML and Data Science Platforms capabilities, including real-time personalization, audience segmentation, and recommendation model hosting, with model outputs surfaced to the website for dynamic content and targeting. Deployment relied on site instrumentation to capture behavioral signals and route them into Vidora Cortex, while model decisions were delivered back to the site for content rendering and targeting workflows. Operational ownership rested with digital marketing and site operations, using iterative configuration and rule-based fallbacks to manage model behavior in the absence of a dedicated data science team.
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King James Gospel | Media | 10 | $1M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
In 2019 King James Gospel implemented Vidora Cortex as an on-site machine learning layer to support content recommendation and audience segmentation. Vidora Cortex is used by King James Gospel within the ML and Data Science Platforms category to provide real-time scoring and personalization on their public website.
The deployment is consistent with a cloud hosted SaaS prediction service, with Vidora Cortex handling model training, feature ingestion, automated model orchestration, and a prediction API that feeds recommendations into the website experience. Operational ownership is centered on the small internal content and marketing team, which configures model inputs, manages feature pipelines, and governs model lifecycle and testing for on-site personalization.
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MarketWatch, a Dow Jones Company | Media | 500 | $100M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
In 2019 MarketWatch, a Dow Jones Company deployed Vidora Cortex on their website as a purpose built ML and Data Science Platforms implementation for content and audience intelligence. The deployment positions Vidora Cortex as the centralized model orchestration and inference layer working directly with site event streams and content delivery endpoints.
Vidora Cortex was configured to run standard category capabilities including feature engineering pipelines, model training workflows, and real time scoring via API endpoints. The implementation included model versioning and automated retraining schedules, plus experimentation controls to support iterative testing of personalization and recommendation models.
Operational integration focused on ingesting on site behavioral events and publisher metadata, folding those signals into Cortex pipelines for audience segmentation and content recommendation use cases. The deployment served digital product, editorial, and audience development teams, providing model driven signals to front end rendering and downstream audience targeting flows.
Governance emphasized controlled rollout and experimentation, with staged deployment of inference endpoints and model gates to manage editorial impact. Implementation narratives note an emphasis on operationalizing ML workflows in production, including monitoring and model lifecycle controls native to Vidora Cortex.
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New York Post | Media | 1000 | $100M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2021 | n/a |
In 2021, New York Post deployed Vidora Cortex on their website as a production machine learning layer. Vidora Cortex is used as an ML and Data Science Platforms solution to deliver real time model scoring and audience segmentation at the point of content consumption, aligning model serving with web publishing workflows.
The implementation leverages standard ML and Data Science Platforms capabilities within Vidora Cortex, including automated feature engineering, model training pipelines, and real time inference for recommendation and propensity modeling. Configuration emphasizes event driven feature ingestion from page views and session signals, model orchestration for continuous retraining, and rules to map model outputs into content personalization and audience segments.
Operational coverage centers on the New York Post website and touches editorial, audience development, product, and advertising functions, where Cortex outputs feed personalization and audience activation workflows. Governance is organized around a central data science and product partnership, with staged model validation, controlled rollout to web audiences, and operational monitoring to govern model lifecycle and refresh cadence.
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Media | 80 | $8M | Australia | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
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Leisure and Hospitality | 10 | $1M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
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Professional Services | 10 | $1M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
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Distribution | 2 | $1M | United States | Vidora | Vidora Cortex | ML and Data Science Platforms | 2019 | n/a |
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Media | 500 | $100M | Australia | Vidora | Vidora Cortex | ML and Data Science Platforms | 2020 | n/a |
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Showing 1 to 10 of 15 entries
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FAQ - APPS RUN THE WORLD Vidora Cortex Coverage
Vidora Cortex is a ML and Data Science Platforms solution from Vidora.
Companies worldwide use Vidora Cortex, from small firms to large enterprises across 21+ industries.
Organizations such as The Wall Street Journal, MarketWatch, a Dow Jones Company, New York Post, The Chronicle and The Eastern Palace Chinese Restaurant are recorded users of
Vidora Cortex for ML and Data Science Platforms.
Companies using Vidora Cortex are most concentrated in Media, with adoption spanning over 21 industries.
Companies using Vidora Cortex are most concentrated in United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Vidora Cortex across Americas, EMEA, and APAC.
Companies using Vidora Cortex range from small businesses with 0-100 employees - 60%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 6.67%, and global enterprises with 10,000+ employees - 0%.
Customers of Vidora Cortex 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 Vidora Cortex customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.