NIGAL
CONTACT DETAILS
Company: Lara Neira
Phone: +34 679 256 177
Email: lara.neira@nigal.net
Web: www.nigal.net
LinkedIn: www.linkedin.com/company/nigal-nova-industria-galega
PROJECT DESCRIPTION
Nigal’s Custom Artificial Intelligence project aims to develop an advanced data analysis platform designed to interact with IT and data collection systems in the automotive sector. Using customized Artificial Intelligence (AI) algorithms, the platform enables monitoring, problem detection, and optimization of industrial processes.
This solution offers from simple dashboards to complete, easy-to-use platforms tailored to each client’s needs. The custom algorithms are developed by mathematicians specializing in Machine Learning, achieving improved decision-making, reduced energy costs, and more precise quality controls, surpassing the performance of generic solutions.
SOLUTION AND TECHNOLOGIES
The solution developed by Nigal combines Artificial Intelligence (AI) and Machine Learning to optimize processes in the automotive sector. Its main features are:
• Advanced monitoring and analytics platform, which adapts to companies’ existing systems.
• Development of customized algorithms for each use case, aimed at improving quality, efficiency, and decision-making.
• User-tailored interfaces, from simple dashboards to comprehensive, easy-to-use platforms.
• Integration with existing IT and current data capture, making sure a fluid implantation without interferences.
Contributed innovation
Nigal’s key innovation lies in the development of customized AI models that integrate with any industrial platform, offering solutions specific to the needs of the automotive sector. Its main areas of expertise include:
• Advanced use of AI in critical industry processes, such as quality control, energy efficiency, and predictive maintenance.
• Ability to anticipate problems in connected vehicles, improving safety and performance.
• Estimating the remaining useful life (RUL) of electric car batteries, optimizing maintenance and resource use.
• Optimizing sales planning through predictive models, which facilitate commercial decision-making and improve inventory management.
• Reducing operating costs and improving final quality through early detection of deviations in industrial processes.
These innovations position Nigal as a benchmark in the use of Artificial Intelligence applied to the automotive sector, allowing companies to increase their competitiveness and operational efficiency.
