NSE-listed manufacturers deploying AI, computer vision, predictive maintenance, and IoT across their factory operations — spanning chemicals, auto, pharma, cement, and mining.
Sectors represented: Information Technology, Metals & Mining, Automobile and Auto Components, Construction Materials, Chemicals
Predictive Maintenance and Reduced Downtime. Manufacturers are increasingly leveraging AI-powered. predictive maintenance solutions to monitor equipment ue1na m4e2025-26 |. AI Trends in Manufacturing. Predictive Maintenance and Reduced Downtime. Manufacturers are increasingly leveraging AI-powered. predictive maintenance solutions to monitor equipment.
Heavy. dependency on. manual. monitoring for. safety. compliance and. operational. supervision. . Fragmented. single-purpose. monitoring. tools limiting. centralized. visibility and. scalability. ALLIED DIGITAL TRANSFORMATION FRAMEWORK. Industrial Vision Analytics. Enabled automated monitoring of. production cycles, conveyor urpose. monitoring. tools limiting. centralized. visibility and.
Process Control systems are also helping. optimise fuel, air and temperature settings,. while a pellet plant AI model delivered. up to 5% energy savings alongside uality consistency. AI-enabled Advanced. Process Control systems are also helping. optimise fuel, air and temperature settings,. while a pellet plant AI model delivered. up to 5% energy savings alongside.
CI/CD tool chain enabling rapid. feedback, continuous. improvement & enhancements. across vehicle lifecycle. E N A B L E R 0 1 · P R E D I C T I V E Q U A L I T Y ering. extensive usage patterns. . CI/CD tool chain enabling rapid. feedback, continuous. improvement & enhancements. across vehicle lifecycle. E N A B L E R 0 1 · P R E D I C T I V E Q U A L I T Y.
Process simulation tools are also. helping forecast output parameters. AI-Led Operations. We are introducing AI-based. vision systems for automated. bag counting, improving. accuracy and reducing manual. dependency. imulation tools are also. helping forecast output parameters. AI-Led Operations. We are introducing AI-based. vision systems for automated. bag counting, improving.
In the context of smart manufacturing, analytics plays a crucial. role in capturing, integrating and analysing data from diverse. sources, including sensors, machines and production systems. facturing. In the context of smart manufacturing, analytics plays a crucial. role in capturing, integrating and analysing data from diverse. sources, including sensors, machines and production systems.
This capability-building effort. was complemented by the. identification of high-value AI. use cases across functional. and industrial processes. s work. faster, analyse better and make. sharper decisions. This capability-building effort. was complemented by the. identification of high-value AI. use cases across functional. and industrial processes. These. use cases form the foundation.
This not only reduces the usage of paper-based check. sheets but also improves the quality and consistency. of maintenance work. xture. maintenance activities conducted on the shop floor. This not only reduces the usage of paper-based check. sheets but also improves the quality and consistency. of maintenance work. Moreover, the data and insights.
Annual Report. 2025-26. Titan Company Limited. . Two robotic hot forging machines and two. robotic cold forging machines, leveraging. robot vision and AI, have been deployed. view. 137. Annual Report. 2025-26. Titan Company Limited. . Two robotic hot forging machines and two. robotic cold forging machines, leveraging. robot vision and AI, have been deployed. These.
This significantly reduces design. cycle time and dependence on extensive laboratory trials. Crawler for Automated Liquid. Penetration Testing. An AI-powered inspection crawler developed to overcome ty. This significantly reduces design. cycle time and dependence on extensive laboratory trials. Crawler for Automated Liquid. Penetration Testing.
A key milestone was the expansion of the IIoT. ecosystem with real-time dashboards tracking 400+. critical process parameters, enabling enhanced. visibility and control across operations. capabilities. A key milestone was the expansion of the IIoT. ecosystem with real-time dashboards tracking 400+. critical process parameters, enabling enhanced. visibility and control across operations. Further.
These initiatives enable us to transition from reactive quality processes. to a data-driven, predictive approach. hter inventory control, improved service levels, and sustained. operational efficiency. These initiatives enable us to transition from reactive quality processes. to a data-driven, predictive approach. This transformation allows us.
Technology-enabled project execution through drone-based stringing,. engineering surveys, construction monitoring, site inspections and. emerging autonomous construction applications. . . Intelligent project management enabled by AI based Site Hazard Detection, stringing,. engineering surveys, construction monitoring, site inspections and. emerging autonomous construction applications. . .
AI-enabled tools are. evaluated and deployed for selected assistive Quality use cases under a risk-based governance framework. prove consistency, reduce turnaround time and strengthen decision-making. AI-enabled tools are. evaluated and deployed for selected assistive Quality use cases under a risk-based governance framework. Intended use,.
AI-based video analytics (Safety Assistant) was deployed. during shutdowns to monitor unsafe behaviours,. PPE violations, and hazards, strengthening safety. compliance. tions. Safety. AI-based video analytics (Safety Assistant) was deployed. during shutdowns to monitor unsafe behaviours,. PPE violations, and hazards, strengthening safety. compliance. The Centralized Safety Monitoring System.
Enabled scalable and reusable enterprise. test assets. Business Impact. AI at the core of. engineering intelligence. ARTIFICIAL INTELLIGENCE. “. Elevating in-vehicle intelligence through. AI-driven smart infotainment calable and reusable enterprise. test assets. Business Impact. AI at the core of. engineering intelligence. ARTIFICIAL INTELLIGENCE. “. Elevating in-vehicle intelligence through.
Our plants are evolving into connected, data-driven operations. that enable real-time visibility, predictive insights and improved. resource optimisation. tinues to reshape our manufacturing ecosystem. Our plants are evolving into connected, data-driven operations. that enable real-time visibility, predictive insights and improved. resource optimisation.
CEAT ensures quality tyre dispatch to. customer by using Machine Learning. (‘ML’) powered visual analytical solution. ensuring fool proof tyre palletisation. system. xecution System (‘MES’). CEAT ensures quality tyre dispatch to. customer by using Machine Learning. (‘ML’) powered visual analytical solution. ensuring fool proof tyre palletisation. system. Overarching purpose has been.
Its engineers and. designers are equipped with state-of-the-art hardware and software tools, including tools for 3-D. modeling, Finite Element Analysis and process simulation. TechnocraftIndustries, India Ltd. eers and. designers are equipped with state-of-the-art hardware and software tools, including tools for 3-D. modeling, Finite Element Analysis and process simulation.
Productivity Improvement. FY2031. TPM Certification Readiness. Key Performance Targets. of TPM. Process Optimisation. and Automation. To support future readiness, we have. upgraded key equipment and standardised. process flows, helping streamline. operations, reduce manual intervention and ts. of TPM. Process Optimisation. and Automation. To support future readiness, we have.
Generative AI. . AiCE. . AnnotAI. . EvQUAL. . Chest-r AI. . Asset Health Framework. . Nouvis. . P&ID Digitization. . MLOps. . Video Analytics. . Medical imaging. . Gen-AI based complaints. management. . Model tive Analytics. . Generative AI. . AiCE. . AnnotAI. . EvQUAL. . Chest-r AI. . Asset Health Framework. . Nouvis. . P&ID Digitization. . MLOps. . Video Analytics. . Medical imaging. .