acquires Data Analytics Startup CubeBase

New Delhi 18th January, 2023:, an AI-powered digital diagnostic platform, announced the acquisition of CubeBase, a Coimbatore-based data analytics platform, at an undisclosed value. The acquisition, following’s Series-A funding round led by Celesta Capital, supports its goal of providing actionable insights and predictive intelligence to its teleradiology services. Additionally, it will help improve its existing machine-learning technologies and offer deep insights and automation capabilities. CubeBase, which already worked with Prodigi for data management and application development, brings a team familiar with Prodigi’s products and offerings.

As part of the acquisition, CubeBase founder Bargava Subramanian will join as Chief Product and Data Officer. With 20+ years of experience in data science and analysis, and a background in founding multiple startups, Bargava and his team will help meet the growing demand for its big data applications by joining the product and engineering team to develop, expand, and upgrade its product offerings.

“After closely following the progress of the team of CubeBase, we knew that they would be the best for our platform to create great web experiences and efficient services for our clients by matching consumer intent with relevant content. Their team has a unique skill set that will help us better serve our clients by building more big data applications for our AI-powered teleradiology platform.” said Kalyan Sivasailam, CEO and Co-founder of

“CubeBase has long been an extension of our vision to create technology that helps digital platforms deliver greater return through enhanced visibility and profitability. We are combining what we’ve learned with the incredible artificial intelligence technology of, one of India’s fastest-growing teleradiology service providers.” said Bargava Subramanian.

Artificial intelligence plays a crucial role in modern healthcare, both in patient care and healthcare service delivery. Radiology, being a field that heavily relies on data, is an area where we are beginning to see the potential of technology in improving healthcare outcomes. is utilizing data science to enhance their digital diagnostic platform, using machine learning algorithms to assist radiologists in identifying complex findings or anomalies in images. These solutions are often integrated with existing imaging technology, enabling the storage and retrieval of images without manual intervention.

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