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DG Twin

DG Twin develops digital twin solutions for sustainable energy and mobility systems, enabling industrial companies to optimize performance and reduce environmental impact. The startup combines research-grade simulation tools with AI-driven analytics to support decarbonization in transportation and power generation. Its flagship TWINY platform and R&D projects, such as the RAYS agrivoltaic optimization system, demonstrate its focus on applied, real-world innovation.

Napoli, Italy · HQ
Founded 20212300+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Clean Technology
  • Energy
  • Industrial Automation
  • Mobility & Transportation
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Industrial companies in the energy and transportation sectors face increasing pressure to reduce environmental impact while maintaining or improving system performance. Traditional design and operational approaches often rely on physical testing and reactive maintenance, which are costly, time-consuming, and limit the ability to optimize complex engineering systems for sustainability.

Solution

DG Twin provides digital twin solutions that create virtual counterparts of engineering systems, enabling companies to simulate, analyze, and optimize performance in real time. By leveraging highly specialized digital technologies, the company helps industrial clients in transportation and energy generation achieve more rational resource use and lower emissions. DG Twin's approach transfers advanced research know-how directly into industrial production, offering ready-to-use technological solutions. The company also develops ambient intelligence solutions based on digital twins to support more sustainable and safer mobility.

Target Audience

Primary customers are industrial companies in the transportation and energy generation sectors seeking to improve sustainability and operational efficiency through digital transformation.

Features

  • Digital twin technology that creates virtual replicas of engineering systems for performance optimization and environmental impact reduction
  • AI-driven analytics for real-time system monitoring and predictive optimization
  • Specialized solutions for sustainable mobility and energy generation sectors
  • R&D capabilities including projects like RAYS (Real-time AI Driven Yield Optimization in Agrivoltaic Systems)
  • Proprietary tools integrated into advanced interoperability platforms for future energy systems
  • Three patents and two original technological solutions developed through funded research projects
This profile is AI-generated and may contain inaccuracies.