List of Domino Data Science Platform Customers
Domino Data Lab
548 4th St,
San Francisco, 94107-1621, CA,
United States
San Francisco, 94107-1621, CA,
United States
1 415-570-2425
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying Domino Data Science Platform 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 Domino Data Science Platform 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 Domino Data Science Platform for ML and Data Science Platforms include: Lockheed Martin, a United States based Aerospace and Defense organisation with 121000 employees and revenues of $71.04 billion, Bayer , a Canada based Life Sciences organisation with 1400 employees and revenues of $1.90 billion, Catawiki, a Netherlands based Professional Services organisation with 600 employees and revenues of $102.0 million and many others.
Contact us if you need a completed and verified list of companies using Domino Data Science Platform, 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 Machine Learning software purchases.
The Domino Data Science Platform 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 Machine Learning 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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Bayer | Life Sciences | 1400 | $1.9B | Canada | Domino Data Lab | Domino Data Science Platform | ML and Data Science Platforms | 2016 | n/a |
In 2016, Bayer deployed the Domino Data Science Platform to apply machine learning inside its Supply Chain operations, using ML and Data Science Platforms to model and predict how seed genetics, environmental conditions and agronomic practices interact to determine crop yield. Bayer Domino Data Science Platform supported analytic workflows focused on genotype by environment interactions, explicitly incorporating topography, soil and climate condition data at planting locations to drive production decisions.
The deployment centralized model development and experiment tracking on the Domino Data Science Platform, with reproducible compute environments and model deployment pipelines typical of ML and Data Science Platforms. Data science teams used the platform to iterate on predictive models linking seed genotype and local environmental factors to yield outcomes, enabling production-ready scoring workflows for zone-level planting recommendations.
Operational coverage targeted Supply Chain and seed production network decisioning, with models consuming genotype files and environmental datasets such as topography, soil and climate observations to produce planting zone forecasts. The implementation reoriented cross-functional workflows between agronomy and supply chain planning, moving from manual zone selection to model-driven site placement within the companys existing seed production network.
Governance emphasized controlled experiment provenance and repeatable model promotion to operational scoring, supporting business rules that made planting zone recommendations actionable for production planners. Leveraging the platform produced a significant increase in seed production yield by placing products in better zones, an increase that Bayer can apply either to reduce production acres or to lower the level of uncertainty within existing production acres.
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Catawiki | Professional Services | 600 | $102M | Netherlands | Domino Data Lab | Domino Data Science Platform | ML and Data Science Platforms | 2016 | n/a |
In 2016 Catawiki implemented Domino Data Science Platform as part of its ML and Data Science Platforms strategy, arming business users with insights that help them make smarter, faster decisions. The deployment explicitly embedded machine learning to optimize the company recommendation engine, product pricing predictions, marketing promotions, lead scoring and cancellation predictions.
The Domino Data Science Platform provided a centralized environment for model development, experimentation, reproducible runs and model deployment to production, enabling data scientists to iterate and package models for operational use. Functional implementation focused on operationalizing predictive models that feed recommendation logic, dynamic pricing predictions, promotional targeting and customer cancellation forecasting.
Operational scope covered cross functional business users and analytics teams in merchandising and recommendations, pricing, marketing and customer operations, delivering model driven insights into decision workflows. Governance and workflow changes emphasized reproducible experiments, model lifecycle tracking and closer collaboration between data science and business stakeholders to accelerate model handoff and operationalization.
Catawiki used Domino Data Science Platform to arm business users with actionable insights and to embed machine learning across core commerce and customer retention functions, aligning ML and Data Science Platforms capabilities with product, marketing and operations priorities.
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Lockheed Martin | Aerospace and Defense | 121000 | $71.0B | United States | Domino Data Lab | Domino Data Science Platform | ML and Data Science Platforms | 2019 | n/a |
In 2019, Lockheed Martin implemented the Domino Data Science Platform in the ML and Data Science Platforms category to streamline the development and deployment of deep learning models. The Domino Data Science Platform was adopted to mitigate supply chain risk, analyze manufacturing defects, and predict maintenance needs, reflecting explicit use cases cited by the companys lead data scientist.
Deployment and architecture centered on dynamic GPU compute provisioning, with Domino enabling data scientists to rapidly provision NVIDIA GPUs to support training of deep neural networks. Implementation activities emphasized model training and experiment tracking, reproducible compute environments for deep learning workloads, and orchestration of model training pipelines to accelerate iterative development.
Operational scope covered applied analytics across supply chain risk management, manufacturing defect analysis, and predictive maintenance workflows, bringing together data science teams, manufacturing engineering, and maintenance operations. The Domino Data Science Platform supported these business functions by centralizing model development workflows and infrastructure access, while enabling complex use cases that require high performance GPU compute.
Governance and process changes focused on standardizing model lifecycle management and reproducibility, and on formalizing compute access and provisioning policies for GPU resources. Mike Johnson, Lead Data Scientist, described the platform as making it easy for data scientists to spin up NVIDIA GPUs, a capability that reduced friction for enterprise deep learning projects without specifying outcomes or metrics.
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Buyer Intent: Companies Evaluating Domino Data Science Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Domino Data Science Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Domino Data Science Platform for ML and Data Science Platforms include:
- Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Domino Data Science Platform Coverage
Domino Data Science Platform is a ML and Data Science Platforms solution from Domino Data Lab.
Companies worldwide use Domino Data Science Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Lockheed Martin, Bayer and Catawiki are recorded users of
Domino Data Science Platform for ML and Data Science Platforms.
Companies using Domino Data Science Platform are most concentrated in Aerospace and Defense, Life Sciences and Professional Services, with adoption spanning over 21 industries.
Companies using Domino Data Science Platform are most concentrated in United States, Canada and Netherlands, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Domino Data Science Platform across Americas, EMEA, and APAC.
Companies using Domino Data Science Platform 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 Domino Data Science Platform 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 Domino Data Science Platform 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.