List of Jewel ML Customers
Jewel ML
6 St Johns Ln,
New York, 10013, NY,
United States
New York, 10013, NY,
United States
1 929-341-0294
Professional Services
20
$2M
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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
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.
|
 |
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.
|
 |
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.
|
 |
Pague Menos | Retail | 24000 | $2.0B | Brazil | Jewel ML | Jewel ML | ML and Data Science Platforms | 2022 | n/a |
In 2022, Pague Menos deployed Jewel ML on its website to enable customer-facing machine learning capabilities. Jewel ML is an ML and Data Science Platforms application used to instrument model inference at the web storefront and to support end-to-end data science workflows for the retailer.
The implementation emphasizes platform capabilities typical of the ML and Data Science Platforms category, including model development orchestration, model packaging and deployment, real-time inference serving, and model lifecycle management. Configuration work focused on model versioning, feature preparation pipelines, and automated monitoring to maintain operational models used in online interactions.
Operational scope is concentrated on the Pague Menos website and the e-commerce function, where Jewel ML delivers predictions that the site front-end consumes for personalization and product recommendation experiences. The deployment architecture centers on serving low-latency inference at the point of customer interaction and closing the data loop from web events back into model retraining and evaluation workflows.
Governance elements for the Jewel ML implementation include model monitoring, rollout gating, and version control to manage risk in customer-facing ML, with data science and e-commerce teams accountable for validation and change control. The narrative positions Pague Menos, Jewel ML, ML and Data Science Platforms, and e-commerce as directly connected business functions in the retailer's online technology stack.
|
 |
Stena Line | Transportation | 135 | $17M | Denmark | Jewel ML | Jewel ML | ML and Data Science Platforms | 2024 | n/a |
In 2024, Stena Line implemented Jewel ML on their website under the ML and Data Science Platforms category. Stena Line deployed Jewel ML, an ML and Data Science Platforms application, to support its website and digital customer experience by embedding model inference and event capture into the web delivery layer. The implementation centers on serving models in runtime from the site, collecting web event data for feature extraction, and operating inference close to the customer touchpoint.
Configuration emphasized category-aligned capabilities such as model training orchestration, feature pipeline management, model serving, and production monitoring for web-facing models. Operational scope is focused on the company website and impacts digital product and analytics functions responsible for online engagement, with rollout practices oriented toward staged model activation and instrumentation to validate behavior in production. Jewel ML is referenced as the platform running these capabilities on Stena Line’s web properties, aligning the Company Application Category Business Function relationship as Stena Line Jewel ML ML and Data Science Platforms supporting digital customer experience.
|
Showing 1 to 5 of 5 entries
Buyer Intent: Companies Evaluating Jewel ML
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Jewel ML. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Jewel ML for ML and Data Science Platforms include:
- Held Kuchen Mobelfabrik, a Germany based Manufacturing organization with 30 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
 |
Held Kuchen Mobelfabrik | Manufacturing | 30 | $3M | Germany | 2025-04-09 |
FAQ - APPS RUN THE WORLD Jewel ML Coverage
Jewel ML is a ML and Data Science Platforms solution from Jewel ML.
Companies worldwide use Jewel ML, from small firms to large enterprises across 21+ industries.
Organizations such as Pague Menos, Olimpica, Stena Line, doto.com.mx and bringIT, part of Proxys Group are recorded users of
Jewel ML for ML and Data Science Platforms.
Companies using Jewel ML are most concentrated in Retail and Transportation, with adoption spanning over 21 industries.
Companies using Jewel ML are most concentrated in Brazil, Colombia and Denmark, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Jewel ML across Americas, EMEA, and APAC.
Companies using Jewel ML range from small businesses with 0-100 employees - 20%, to mid-sized firms with 101-1,000 employees - 40%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 20%.
Customers of Jewel ML 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 Jewel ML 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.