
A mixed reality solution for a global biopharmaceutical leader
Optimize operational efficiency using mixed reality

Leading US clinical laboratory adopts IoT platform
Accelerate efficiency and speed to market with CARE platform

Cloud’s transformational role in life sciences and healthcare
How a foundation built in cloud is becoming a strategic differentiator

Continuous manufacturing in life sciences – a big leap
This whitepaper explores how the shift from batch to continuous manufacturing is revolutionizing pharmaceutical production, leading to significant improvements in efficiency and quality.

Simplify customer engagement with the HCLTech and Adobe-enabled platform
Creating a personalized and smart solution for Life Sciences and Healthcare

HCLTech sovereign cloud for life sciences and healthcare
Sovereign cloud is a private cloud solution for public and private sector industries that meets local sovereignty and jurisdiction compliance around data privacy

Enterprise quality insights and intelligence platform
Enterprise quality insights and intelligence platform ensures global quality in life sciences via real-time monitoring, data ingestion, and cloud-based enterprise insights.

Base90 for Life Sciences
HCLTech's Base90 for Life Sciences reduces the time, cost and risk of your SAP S/4HANA implementation.

Advancing research: The tech-infused evolution of clinical trials
How is the life sciences ecosystem navigating challenges and embracing technologies in clinical trials?

How technology is driving disruption in the life sciences value chain
Industry leaders discuss and share insights on championing sustainability across life sciences companies

Enhancing Life Sciences with Agile Veeva Services
HCLTech has been providing niche ‘full mile’ Veeva services to leading life sciences companies across consulting, and technology implementation, enabling them to deliver better patient outcomes.

Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.