List of Jewel ML Customers
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Since 2010, our global team of researchers has been studying Jewel ML 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 Jewel ML 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 Jewel ML for ML and Data Science Platforms include: Pague Menos, a Brazil based Retail organisation with 24000 employees and revenues of $2.00 billion, Olimpica, a Colombia based Retail organisation with 5000 employees and revenues of $1.95 billion, Stena Line, a Denmark based Transportation organisation with 135 employees and revenues of $17.0 million, doto.com.mx, a Mexico based Retail organisation with 120 employees and revenues of $10.0 million, bringIT, part of Proxys Group, a Brazil based Retail organisation with 40 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Jewel ML, 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 Jewel ML 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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bringIT, part of Proxys Group | Retail | 40 | $3M | Brazil | Jewel ML | Jewel ML | ML and Data Science Platforms | 2023 | n/a |
In 2023, bringIT, part of Proxys Group, deployed Jewel ML on its public website as a ML and Data Science Platforms implementation to introduce on-site machine learning capabilities for its retail e-commerce presence. The deployment is explicitly centered on the website and instrumented to deliver model-driven user experiences and operational scoring at the point of interaction, linking Jewel ML to session and transaction streams for real-time inference.
The implementation emphasizes category-aligned capabilities such as model hosting and runtime inference, data ingestion for feature generation, and lifecycle controls for model versioning and promotion. Operational coverage spans the e-commerce and marketing functions with product and operations teams consuming model outputs for personalization and recommendation workflows, while rollout governance focused on staged production routing and instrumentation to validate model behavior on the live website.
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doto.com.mx | Retail | 120 | $10M | Mexico | Jewel ML | Jewel ML | ML and Data Science Platforms | 2022 | n/a |
In 2022, doto.com.mx implemented Jewel ML. Jewel ML is deployed as an ML and Data Science Platforms solution on the company website to provide model-driven intelligence for its retail e-commerce operations in Mexico.
The implementation emphasizes hosted model serving and managed data pipelines, using standard ML and Data Science Platforms capabilities such as real-time inference, feature engineering workflows, and experiment management for iterative model updates. Configuration targets customer-facing decision points on the storefront, applying models for recommendation and personalization workflows consistent with retail e-commerce use cases.
Integration is executed directly on the public website through client-side and server-side instrumentation that streams event data into Jewel ML for online scoring and into offline training pipelines. Operational coverage centers on the e-commerce storefront and merchandising processes, with the platform consuming analytics and order data to generate features and training labels.
Governance and operational controls are organized around model lifecycle management, version control, and experimentation governance coordinated between product, merchandising, and analytics teams. Rollout is focused on incremental deployment to the public site with online scoring pipelines to support continuous model updates and controlled experimentation.
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Olimpica | Retail | 5000 | $2.0B | Colombia | Jewel ML | Jewel ML | ML and Data Science Platforms | 2022 | n/a |
In 2022, Olimpica deployed Jewel ML on its public website to add real-time machine learning capabilities to customer-facing experiences. Jewel ML was implemented as the company’s ML and Data Science Platforms solution to enable web personalization and product recommendation workflows for the e-commerce storefront.
The implementation centered on model deployment and online inference capabilities typical of ML and Data Science Platforms, including feature engineering pipelines, training orchestration, a model registry, and inference APIs to support low-latency scoring. Jewel ML configurations emphasized lightweight model serving and experiment gating to support iterative model updates and controlled rollouts on site pages.
Integration work focused on embedding Jewel ML into the website and instrumenting clickstream and product catalog signals to feed real-time scoring, enabling personalized merchandising and on-site recommendations. Operational scope covered merchandising, marketing, and user experience functions, with the platform serving as the primary runtime for inference on customer interactions.
Governance and operational workflows were structured to align model validation and deployment pipelines with web release cycles, adding monitoring for inference latency and data drift and formal checkpoints for model promotion. Rollout followed progressive exposure and experimentation patterns to validate behavior in production before broader exposure.
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Retail | 24000 | $2.0B | Brazil | Jewel ML | Jewel ML | ML and Data Science Platforms | 2022 | n/a |
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Transportation | 135 | $17M | Denmark | Jewel ML | Jewel ML | ML and Data Science Platforms | 2024 | n/a |
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Buyer Intent: Companies Evaluating Jewel ML
- Held Kuchen Mobelfabrik, a Germany based Manufacturing organization with 30 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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