Engineering intelligence into connected, resilient and autonomous industrial operations.

Industrial enterprises are moving beyond connected operations toward a new ambition: autonomy. Products, factories, assets, workplaces and supply chains are becoming increasingly connected, data-rich and software-defined, yet engineering and operational environments often remain fragmented. The opportunity is to create a continuous digital thread from product design through manufacturing and operations, applying intelligence across the lifecycle so enterprises can progressively sense, predict, decide and act with greater autonomy.

Industrial Autonomy, powered by Wipro Intelligence™, brings engineering, operational technology and intelligent automation together through an integrated design-to-operate approach. It connects Engineering Design Services, Product Lifecycle Management (PLM), Connected Enterprise, Industrial IoT, Digital Twins, Integrated Workplace & Asset Management, Industrial AI, Physical AI and Robotics to drive transformation across the industrial value chain, from ideation and product development through manufacturing, operations, sustainment and end-of-life.

The approach combines strategy and consulting, product engineering and design, PLM, systems integration and deployment, MES/OT/IoT harmonisation, and managed operations. Engineering and PLM capabilities establish the digital foundation through product design and simulation, systems engineering, CAD/CAE, configuration and BOM management, engineering data, digital thread, PLM modernisation and migration, verification, value engineering and product sustainment. On this foundation, machine learning, GenAI, digital twins and predictive intelligence enable smarter decisions, while Physical AI, autonomous robotics, embodied and agentic AI, simulation twins, virtual commissioning and immersive operations extend intelligence into the physical world.

The result is a connected, intelligent design-to-operate ecosystem that unifies product, engineering, manufacturing and operational data. This helps enterprises accelerate innovation, reduce engineering-to-factory cycle time, improve productivity and asset performance, strengthen resilience and progressively advance from digitalisation and automation toward intelligent, increasingly autonomous operations.

Overview

200+    

Customers

30+  

Countries

  35+   

Years of Experience

Services

Engineering Design Services

Design smarter products, faster.
Accelerate product development with end-to-end engineering capabilities spanning product consulting, engineering design, simulation and testing, digital manufacturing and plant automation.

Product Lifecycle Management (PLM)

Connect the end-to-end digital thread.
Create a connected foundation for product innovation by transforming processes, data and technology across the lifecycle. 

Integrated Workplace & Asset Management (iWAM)

Optimise assets and workplaces
Transform workplace and asset operations by connecting facilities, real estate, capital projects, sustainability, assets and the workforce. 

Connected Enterprise

Run the smart, connected factory.
Connect manufacturing systems, operational technology and intelligence to create smarter, more autonomous operations. 

Industrial AI

Turn industrial data into intelligent action.
Apply AI across connected industrial environments to enable smarter operations and decision-making. 

Physical AI and Robotics

Move from automation to physical intelligence.
Bring AI into physical operations through simulation, robotics and autonomous decision-making. 

Wipro Intelligence Solutions

Wipro Industrial-AssetsAI

Apply industrial intelligence across connected assets to support more predictive, data-led and autonomous operations.

Factory of the future

Wipro Factory of the Future unifies engineering, manufacturing systems, connected assets and Industrial AI to enable real-time visibility, predictive operations and autonomous decision-making across the factory.

FAQs — What Industrial autonomy leaders are asking

Industrial Autonomy builds on the connected foundations of Industry 4.0 by bringing engineering, operational technology, data, AI and physical automation into a more integrated model. Wipro's approach connects capabilities across product engineering, PLM, factories, assets and operations, creating the digital foundation needed to progress towards increasingly intelligent and autonomous operations. 

A connected digital thread provides the bridge. Wipro's portfolio spans engineering design, PLM, Digital Twin, MES/MOM, IoT and operational systems, helping connect information across the product lifecycle. This enables engineering and operational data to move more effectively across design, development, manufacturing and sustainment rather than remaining isolated within individual systems.

Industrial transformation can incorporate existing plant environments alongside modern capabilities. Wipro's portfolio covers SCADA and PLC systems, historians, MES harmonisation, IT-OT integration, Industrial IoT and managed operations, alongside Digital Twin and Industrial AI capabilities. This creates a path for modernising and connecting industrial systems while progressing towards more intelligent operations.

Wipro's Industrial Autonomy portfolio applies intelligence across Industrial IoT, Digital Twins, assets and physical operations. Capabilities include machine learning, GenAI, Industrial AI agents, industrial LLMs, predictive analytics, multi-agent systems and Edge/Embodied AI, alongside predictive asset management and autonomous robotics.

Wipro positions Digital Twins across four areas: engineering twins connecting engineering data and 3D models; operational twins addressing production, processes, assets, maintenance and energy; simulation twins supporting virtual commissioning and Physical AI; and autonomous twins incorporating Industrial AI, Agentic AI and autonomous operations.

Physical AI brings intelligence into machines and physical operating environments. Wipro's portfolio combines AI-powered simulation, autonomous robotics, embodied and agentic AI, Digital Twins and immersive operations. Use cases presented include autonomous material handling, furnace operations, surface-quality inspection, predictive-maintenance robots and drone-based asset inspection

Wipro's Industrial Autonomy model spans the lifecycle from ideate, design and develop, manufacture, sustain through disposal. Engineering Design Services, PLM, Connected Enterprise and Integrated Workplace & Asset Management form the core service pillars, supported by Industrial AI, Physical AI and Robotics, sustainability and engineering capabilities.

Reports

AI Agents in the Smart Factory: Coordinated Decisions