Tata Consulting Engineers Launches Cognitive Digital Twin Platform

23 Feb 2026 CW Team

At the core of the platform is TCE's Cognitive Twin framework, built on NVIDIA libraries and open models, which enables high-fidelity real-time AI-driven digital twins that mirror, simulate and optimise physical systems. These living representations integrate engineering data with operational intelligence to support precision, reliability and performance and to drive operational decision making.

Pilot implementations are under way with National High Speed Rail Corporation Limited, Torrent Power and Power Grid Corporation of India Limited, demonstrating a shift from static digital models to cognitive digital twins that actively support operations. The platform combines NVIDIA Omniverse libraries, NIM microservices and open models with TCE's domain expertise in engineering design, project delivery and full asset lifecycle management.

TCE embeds Cognitive Digital Twins at concept and front end engineering design stages so that safety, reliability, maintainability and energy efficiency are considered early in the design process. This lifecycle first approach enables more informed capital investment decisions and improves long term operational performance once assets enter service.

The platform addresses safety monitoring, quality inspection, reliability, predictive maintenance, energy optimisation and digital twin driven operations and aligns with priorities around manufacturing competitiveness, infrastructure modernisation and the energy transition. By making Industrial AI intrinsic to how assets are conceived, delivered and operated, TCE aims to support safer, more reliable, more efficient and more sustainable industrial systems drawing on more than six decades of experience.

Tata Consulting Engineers (TCE) has launched a Cognitive Digital Twin and Industrial AI platform built on NVIDIA Corporation (NVIDIA) accelerated computing and the NVIDIA Omniverse libraries. The platform is designed to embed engineering-grade digital twins and Industrial AI across manufacturing, energy and infrastructure, enabling data-driven decision making across the full lifecycle of industrial assets. It positions TCE as an engineering-led execution partner for Industrial AI. At the core of the platform is TCE's Cognitive Twin framework, built on NVIDIA libraries and open models, which enables high-fidelity real-time AI-driven digital twins that mirror, simulate and optimise physical systems. These living representations integrate engineering data with operational intelligence to support precision, reliability and performance and to drive operational decision making. Pilot implementations are under way with National High Speed Rail Corporation Limited, Torrent Power and Power Grid Corporation of India Limited, demonstrating a shift from static digital models to cognitive digital twins that actively support operations. The platform combines NVIDIA Omniverse libraries, NIM microservices and open models with TCE's domain expertise in engineering design, project delivery and full asset lifecycle management. TCE embeds Cognitive Digital Twins at concept and front end engineering design stages so that safety, reliability, maintainability and energy efficiency are considered early in the design process. This lifecycle first approach enables more informed capital investment decisions and improves long term operational performance once assets enter service. The platform addresses safety monitoring, quality inspection, reliability, predictive maintenance, energy optimisation and digital twin driven operations and aligns with priorities around manufacturing competitiveness, infrastructure modernisation and the energy transition. By making Industrial AI intrinsic to how assets are conceived, delivered and operated, TCE aims to support safer, more reliable, more efficient and more sustainable industrial systems drawing on more than six decades of experience.

Infrastructure Urban

04 May 2026

Jyoti Structures FY26 profit rises 56.5%

Jyoti Structures (JSL) recently reported strong financial results for the quarter and year ended 31 March 2026, driven by disciplined execution, cost management and steady progress across its order book.For Q4 FY2025-26, total income rose 44.2 per cent to Rs 2.41 billion from Rs 1.67 billion in Q4 FY2024-25. EBITDA increased 58.6 per cent to Rs 237 million, while EBITDA margin improved by 89 basis points to 9.84 per cent. Profit before tax grew 53.3 per cent to Rs 188.5 million, and net profit rose 51.9 per cent to Rs 181.4 million.For FY2025-26, total income grew 53.1 per cent to Rs 7.72 bill..

Infrastructure Energy

04 May 2026

Cat BEPU to Power Doppstadt Separator at IFAT 2026

Caterpillar’s Cat Battery Electric Power Unit (BEPU) has been selected by Doppstadt to power its SWS 6 Spiral Shaft Separator, which will be showcased for the first time at IFAT 2026 in Munich, Germany, from 4–7 May.The compact plug-and-play BEPU is designed to replace a diesel engine within the same space, using the same mounting locations and relative machine position. It integrates the battery, motor, inverter, onboard charging, cooling and controls, enabling OEMs to electrify existing chassis platforms without extensive redesign.Caterpillar and Cat dealer Zeppelin Power Systems have be..

Infrastructure Urban

04 May 2026

VECV sales rise 6.9% in April 2026

VE Commercial Vehicles, a joint venture between Volvo Group and Eicher Motors, recorded sales of 7,318 units in April 2026, compared to 6,846 units in April 2025, registering 6.9 per cent growth. The total included 7,159 units under the Eicher brand and 159 units under the Volvo brand.Eicher branded trucks and buses reported sales of 7,159 units during the month, up 6.6 per cent from 6,717 units in April 2025. In the domestic commercial vehicle market, Eicher sales rose 8.6 per cent to 6,797 units from 6,257 units a year earlier.Exports declined 21.3 per cent, with VECV recording 362 units in ..