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TCS InTwinTM is an award-winning, customized AI-powered platform that uses AI techniques to enable organizations to accelerate development and deployment of digital solutions. It unlocks the power of knowledge, data, and engineering sciences to make industrial plants intelligent, responsive, and future-ready.
TCS InTwin platform brings together all core elements required to build intelligent digital twins of the plants, systems, and processes, using digitally captured domain knowledge and advanced industry-specific AI algorithms and physics models.
The built-in capability of the platform helps organizations to create and deploy applications that make industrial operations predictive, prescriptive, and self-aware at pace, enabling them to reduce operations and maintenance costs, improve product quality, reduce emissions, derive additional revenue via increased throughput, and make production lines agile and safer.
Digital Twin Workspace to build industrial AI models
Digital Twin Services to build and deploy industrial AI applications
Cognitive AI Services for self-aware digital twins
With TCS InTwin, industrial plants gain numerous advantages:
TCS has a proven track record of providing high-quality digital twin technology solutions and adding significant business value.
Proprietary modules for industrial AI: Backed by 50+ patents, the platform provides several proprietary accelerator modules, algorithms and modelling workflows for various tasks.
Renowned research and innovation capabilities: TCS InTwin is an outcome of 25+ years of research in advanced industrial data science and physics-based modelling by TCS.
Scalable and modular architecture: TCS InTwin is a modern, flexible, and domain-agnostic platform that can be scaled up easily and can be configured based on the preferences of enterprises and regulatory requirements.
Technology and domain expertise: TCS brings in several years of proven experience in large-scale industrial digital twin solution deployments and teams with technical and contextual expertise.
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