SpringML joins NVIDIA Partner Network to deliver AI-Powered Medical Imaging Solutions

Pleasanton, California, November 23, 2020—SpringML, a leader in consulting and implementation services across multiple industries and a specialized provider of data-driven digital transformation outcomes, today announced it has joined the NVIDIA Partner Network (NPN) as a Preferred Service Delivery Partner.

SpringML delivers AI-assisted medical imaging workflows to healthcare and life science customers. The company’s mission is to develop human-empowered automation at scale utilizing Google Cloud services. With expertise in industry-leading big data and analytics platforms, as well as domain knowledge in various industries, SpringML is able to build solutions that solve customers’ most complex business problems.

“We are excited to join the NVIDIA Partner Network and accelerate our GPU-powered medical imaging solution using the NVIDIA Clara Healthcare application framework.” said Prabhu Palanisamy, President and Chief Strategy Officer of SpringML. “NVIDIA GPUs provide the performance required to develop AI solutions for the healthcare industry.”

SpringML’s deep knowledge in machine learning on medical imaging will help customers build robust AI algorithms, while adhering to strict data privacy and compliance needs.” said Dr. Mona Flores, Global Head of Medical AI at NVIDIA. “Leveraging NVIDIA Clara,  SpringML has a suite of state-of-the-art AI tools to develop and deploy algorithms across the healthcare ecosystem.

About SpringML

SpringML delivers data-driven digital transformation outcomes with an experimentation and design thinking mindset. We provide consulting and implementation services and industry-specific analytics solutions that deliver high-impact business value from data. SpringML is a premier Google Cloud partner with capabilities to plan, assess, deploy, and manage data-driven engagements. We have been awarded Google Cloud specialization based on our expertise and customer portfolio for Application Development, Data Analytics, Machine Learning, Marketing Analytics, Data Management and Security.