List of Artelnics Neural Designer Customers
Salamanca, 37185,
Spain
Since 2010, our global team of researchers has been studying Artelnics Neural Designer 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 Artelnics Neural Designer 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 Artelnics Neural Designer for ML and Data Science Platforms include: Acciona, a Spain based Utilities organisation with 66021 employees and revenues of $21.11 billion, Sociedade Hispanica De Automoveis, a Portugal based Automotive organisation with 11 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Artelnics Neural Designer, 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 Artelnics Neural Designer 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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Acciona | Utilities | 66021 | $21.1B | Spain | Artelnics | Artelnics Neural Designer | ML and Data Science Platforms | 2017 | n/a |
Acciona implemented Artelnics Neural Designer in 2017 through its I’MNOVATION corporate accelerator, selecting Artelnics to run pilots that applied neural network modeling to energy and infrastructure problems in Spain. The engagement used Artelnics Neural Designer to develop predictive and optimization models for plant operations, and the work targeted the Apps Category .
Implemented capabilities centered on supervised learning, time series forecasting, and optimization workflows within Artelnics Neural Designer, configured to support model training, validation, and deployment pipelines. Pilot activities inferred from accelerator materials included thermosolar plant optimization and operational forecasting, with model evaluation and iteration integrated into the development cycle.
Operational scope was focused on energy and infrastructure business functions in Spain, with pilots coordinated via the corporate accelerator and executed in collaboration with internal operations and engineering teams. Governance emphasized pilot-stage validation and knowledge transfer from Artelnics to Acciona technical teams, enabling continued model refinement under Acciona operational oversight.
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Sociedade Hispanica De Automoveis | Automotive | 11 | $1M | Portugal | Artelnics | Artelnics Neural Designer | ML and Data Science Platforms | 2017 | n/a |
In 2017, Sociedade Hispanica De Automoveis deployed Artelnics Neural Designer for predictive analytics to build a predictive sales and order-forecasting model supporting SEAT’s Fast Lane initiative. The implementation used Artelnics Neural Designer to provision machine learning workflows for demand forecasting and order-level prediction to support supply chain and logistics decision making in Spain.
The deployment centered on a predictive sales and order-forecasting model, implemented as a supervised learning workflow in Artelnics Neural Designer, with feature engineering and model validation components configured to produce mean accuracy metrics. Functional capabilities implemented included time series forecasting, order probability scoring, and batch prediction export for downstream operational use.
Operational scope covered SEAT’s Fast Lane logistics and supply chain processes, impacting sales forecasting, order fulfillment planning, and delivery sequencing for the targeted Fast Lane product line in Spain. The solution was positioned to feed order-prioritization and expedited fulfillment workflows, integrating model outputs into existing logistics decision processes.
Outcomes reported in the vendor case study include approximately 88% mean accuracy in predictions from Artelnics Neural Designer, and a reduction in delivery time for 50% of orders to a two to three week window under the Fast Lane program. These results show the application of Artelnics Neural Designer within predictive analytics to materially adjust order routing and fulfillment timing.
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