Vingyani ('Wing-Yeah-Nee') means Scientist.
We combine cutting edge science and advanced engineering with the objective of making a profound impact on humanity. We use Biosciences domain knowledge to solve complex and novel business problems with data-driven systems. We apply Al for drug discovery.
Our mission is to develop and implement a comprehensive data strategy for our clients, from mining massive datasets and using predictive analytics to uncover business value to implementing cutting-edge deep learning to solve technical challenges. We rapidly close client capability gaps, increase the speed of organizations, and their ability to deliver their strategy.
Data is changing our world. We empower life sciences organizations to create actionable data through data wrangling and data visualization.
We reverse engineer the knowledge in unstructured format to structured data by semi-automation to enable you on making better decisions.
We offer custom solutions and development in data strategy, big data, data engineering, and machine learning.
Great science is the foundation of all innovations, and so, as a technology solution provider, Vingyani's focus is always to "follow the science". This is one of our core values; it determines how we work and guides our decision-making.
In the age of Al, fundamental value resides in data. Data really powers everything that we do. Data is the new oil? No. Data is the new soil. The goal is to turn data into information, and information into insight.
Our vision engages different actors to co-develop ideas, networks, creativity for innovative solutions to the most important societal challenge of our time.
We are a contract research organization capable to provide research services around deep learning technologies in drug discovery. We offer turnkey solutions to our clients and corporate partners, with the aim of assisting organizations and teams in getting the greatest benefit from their data science initiatives. The services include coding, validation, testing, and production software using different deep learning frameworks and different platforms.