List of MakinaRocks Runway Customers
MakinaRocks
12F, 343, Gangnam-daero, Seocho-gu,
Seoul, 6626,
South Korea
Seoul, 6626,
South Korea
82 2 6245 1221
Professional Services
100
$18M
Since 2010, our global team of researchers has been studying MakinaRocks Runway 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 MakinaRocks Runway for MLOps 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 MakinaRocks Runway for MLOps Platforms include: Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.82 billion, Hyundai Motor Company, a South Korea based Automotive organisation with 120000 employees and revenues of $128.31 billion, Applied Materials, a United States based Manufacturing organisation with 34000 employees and revenues of $26.52 billion and many others.
Contact us if you need a completed and verified list of companies using MakinaRocks Runway, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Applied Materials | Manufacturing | 34000 | $26.5B | United States | MakinaRocks | MakinaRocks Runway | MLOps Platforms | 2023 | n/a |
In 2023, Applied Materials implemented MakinaRocks Runway as an enterprise MLOps Platforms deployment targeting semiconductor equipment operations and manufacturing process optimization. MakinaRocks cites Applied Materials among its global manufacturing partners and collaborators, and public materials position MakinaRocks Runway as the platform used with semiconductor-equipment and manufacturing customers for AI applications focused on defect detection and process control. The engagement is framed around embedding AI into equipment operational workflows and yield engineering use cases rather than a narrow research pilot.
The MakinaRocks Runway implementation centers on core MLOps capabilities, including model lifecycle management, experiment tracking and versioning, training orchestration, and production model deployment and monitoring. Data management capabilities for labeled training datasets and continuous inference pipelines are described in vendor materials as part of Runway, supporting iterative model retraining and validation. These functional modules align with standard MLOps Platforms practices for operationalizing machine learning in manufacturing.
Runway is positioned to operate against semiconductor equipment telemetry and process control datasets, integrating with factory data sources and equipment operational feeds to enable real time and near real time inference workflows. Operational coverage as described in public references maps to manufacturing engineering, process control, and yield teams that consume model outputs for defect detection and process adjustments. The platform architecture as presented emphasizes enterprise grade orchestration of model training and inference across equipment fleets and production lines.
Governance and workflow changes associated with MakinaRocks Runway are consistent with MLOps Platforms patterns, including model governance, approval workflows, and automated deployment pipelines to enforce staging and production promotion. Vendor disclosures explicitly indicate the platform targets improvements in defect detection and tighter process control, aligning Runway functionality with Applied Materials use cases in semiconductor equipment operations.
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Hyundai Motor Company | Automotive | 120000 | $128.3B | South Korea | MakinaRocks | MakinaRocks Runway | MLOps Platforms | 2023 | n/a |
In 2023, Hyundai Motor Company implemented MakinaRocks Runway to operationalize manufacturing AI use cases. MakinaRocks Runway is deployed as an MLOps Platforms solution supporting anomaly detection and process optimization within Hyundai’s production and plant engineering functions in South Korea.
The deployment emphasized model lifecycle management and automated delivery workflows, including orchestrated training pipelines, a versioned model registry, deployment pipelines to production inference endpoints, and model performance and drift monitoring. Configuration work prioritized reproducible training, CI CD style model promotion, and runtime observability to shorten lead time from model development to production use.
Operational coverage targeted manufacturing and production engineering teams, where Runway was used to accelerate the rollout of anomaly detection models against sensor and process telemetry and to embed process optimization models into operational workflows. The implementation tied model stewardship to plant operations and data science teams to ensure production readiness and ongoing monitoring.
Governance centered on model validation gates and production monitoring workflows, with automated pipelines enabling reproducible retraining and rollback processes and explicit stewardship responsibilities for models in production. MakinaRocks has cited outcomes for Hyundai that include faster model deployment and improved operational efficiency for manufacturing AI initiatives.
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Samsung Electronics South Korea | Manufacturing | 262647 | $206.8B | South Korea | MakinaRocks | MakinaRocks Runway | MLOps Platforms | 2023 | n/a |
In 2023, Samsung Electronics South Korea began using MakinaRocks Runway, deploying MakinaRocks Runway within its semiconductor and electronics manufacturing operations. The implementation is described under the MLOps Platforms category and targets predictive maintenance and process quality use cases identified by MakinaRocks for manufacturing and electronics customers.
The deployment emphasized core MLOps capabilities, including model lifecycle management with experiment tracking, a model registry, deployment orchestration and continuous model monitoring. Data pipeline orchestration, feature management and model versioning were configured to support repeatable training, validation and production promotion workflows.
Operational coverage centered on manufacturing operations, process engineering and maintenance teams supporting semiconductor and electronics production lines in South Korea. The workstream aligned standard MLOps workflows from data ingestion through model promotion to production, enabling collaboration between data scientists and shop floor engineering.
Governance elements included formalized model lifecycle controls, role based access and staged rollout processes to move models from validation to production while maintaining reproducibility and auditability. According to vendor disclosures, MakinaRocks applied AI models via MakinaRocks Runway to improve predictive maintenance and process quality in semiconductor and electronics manufacturing.
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Buyer Intent: Companies Evaluating MakinaRocks Runway
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD MakinaRocks Runway Coverage
MakinaRocks Runway is a MLOps Platforms solution from MakinaRocks.
Companies worldwide use MakinaRocks Runway, from small firms to large enterprises across 21+ industries.
Organizations such as Samsung Electronics South Korea, Hyundai Motor Company and Applied Materials are recorded users of
MakinaRocks Runway for MLOps Platforms.
Companies using MakinaRocks Runway are most concentrated in Manufacturing and Automotive, with adoption spanning over 21 industries.
Companies using MakinaRocks Runway are most concentrated in South Korea and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of MakinaRocks Runway across Americas, EMEA, and APAC.
Companies using MakinaRocks Runway range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.
Customers of MakinaRocks Runway 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 MakinaRocks Runway customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of MLOps Platforms.