The client sought to overhaul their approach to summarizing medical inquiries, a traditionally cost and labor-intensive process. They partnered with HCLTech to implement a GenAI-based solution that revolutionized operational efficiency by rapidly producing accurate, human-like summaries of scientific data at a reduced cost.

British multinational medical device manufacturing company wanted to enhance its SIOP process. The challenge involved replacing outdated APS technology with a flexible SaaS solution, aiming to improve forecast accuracy, reduce standing orders, optimize inventory levels and enhance service levels. HCLTech provided comprehensive support, including initial design workshops, data host enablement, configuration and validation support and training sessions for a successful implementation. The outcome resulted in improved operational efficiency, enhanced decision-making and a streamlined approval process, ultimately achieving customer satisfaction and improved planning capabilities.

A leading US-based pharma IT company that monitors and maintains cloud-native enterprise networks needed support to run its operational systems. The client's core engineering team is responsible for designing and deploying infrastructure services and the company required help integrating cloud-technical customers with its complex compliance model. The client also needed to retreat from its existing data centers.

A leading US diagnostics company with a vast network of labs and thousands of instruments found it challenging to monitor the operational health of its onsite labs. With over 150 instrument types, 40,000 devices and 2,500 PCs, the company required enterprise-wide, real-time visibility into tools and digital assets.

Our client, backed by a team of innovative researchers, data scientists and entrepreneurs, is a pioneering US-based medical data firm. They specialize in patented implantable sensors and analytics ecosystems, offering a solution platform that facilitates enhancing healthcare outcomes through continuous and passive data collection from 'smart' implantable devices.