
Digital Experience Design Studio
HCL Tech’s Digital Experience solution helps organization in identifying, understanding the user’s need & transforming digital applications to enhance customer experience.

Engineering for Sustainability
Making a positive, long-lasting impact on people and the planet

Agile Plant Engineering Services | Manufacturing Plant
HCLTech Agile Plant engineering services are designed to cater to the needs of greenfield and brownfield plants.

Agentic AI is seen as the next major disruption after GenAI for good reasons
Agentic AI represents a crucial advancement in the AI and GenAI revolution, offering substantial benefits to businesses and society through its impactful applications.

Building with AI to improve productivity
To better serve its clients and reduce the significant costs incurred through time-consuming legal tasks, this global law firm turned to HCLTech to develop a more efficient and scalable solution.

How AI helps to track down real-time defect detection
Enhancing manufacturing efficiency and product quality through AI is crucial. This vital industry must consistently perform at its best throughout the year.

Building rapid innovation GenAl Lab for a Global Pharma Firm
Exploring new horizons of efficiency and reliability with responsible Al

AI to improve productivity and collaborative engineering processes
Whitepaper focuses on problems like information access, automation of repetitive tasks, and translation into engineering processes like Management, Systems Engineering, Design Data Management, etc.

MBSE Adoption: Integrated model-based engineering
MBSE adoption is imperative for companies to gain the technological edge in handling the complexity of developing multi-disciplinary products and systems.

Unlocking new possibilities with AI in Aerospace and Defense
Our whitepaper delves into AI's impact on aerospace and defense, highlighting Generative AI's role, use cases, benefits, and our solutions for its adoption.

Traditional AI vs GenAI
Read how many of today’s most pressing business problems can be solved by combining more traditional AI with newer GenAI techniques.

AI and Generative AI
AI predicts outcomes using historical data, while Generative AI creates new content. Their growth is vital for informed decision-making in life sciences, necessitating careful validation.