About – Zwilling Labs

About us

Background

Zwilling Labs is a leading digital twin solutions company for the manufacturing sector. We enable manufacturing business owners, their management and customers by providing better, real-time access and realistic experience of remote factory access and control. By monitoring and optimizing processes, we help businesses achieve reduced water and energy consumption and carbon footprints. Our advanced AI powered diagnostics help plant maintenance managers and monitoring teams in reducing unplanned downtime by predicting and avoiding machine failure, mitigating operational and human risks, and improving overall efficiency.

The Zwilling platform and underlying technology is based on innovative research and development conducted for government and industry partners at IIT Bombay. We cater to diverse manufacturing industries including steel, metals & mining, chemicals, pharmaceuticals, tyres, automotive and more.

Zwilling creates disruptive digitalization and empowers manufacturers with an easy-to-use, open-source, fully integrated platform for digital factories and laboratories. Customer focus and clear understanding of customer needs, domain expertise, and dedication to continued innovation are what set us apart. We aim to be at the forefront of digital twin technology.

OUR OBJECTIVES

Mission

To empower manufacturers with a unified digital-twin platform providing engineering and AI insights with remote factory monitoring and control to enable agile, data-driven manufacturing for maximizing efficiency, reducing costs, ensuring quality and compliance.

Vision

To become a one-stop digital twin platform for the manufacturing industry. We seek to provide a comprehensive platform that enables industries to operate efficiently, paving the way for a sustainable future and advancing the global effort towards decarbonization.

Value for our customers

Zwilling Lab’s Unified Digital Twin platform, powered by Advanced AI & Engineering, provides valuable insights and facilitates real-time monitoring leading to data-driven decisions and control over production for manufacturing processes and equipment. This enables manufacturers to achieve lower cost, higher quality and efficiency while ensuring compliance and sustainability.