Pune: Data Dynamics has officially entered the Indian market with the opening of its Centre of Excellence (CoE) in Pune.

This facility will serve as the primary hub for the company's operations in the region, focusing on driving innovations in data management and advancing its product offerings.

The company is set to expand its team, recruiting programmers, AI architects, and data engineers dedicated to enhancing its cutting-edge software, Zubin, which aims to deliver seamless, next-generation self-service data management.

In conjunction with this launch, Data Dynamics introduced Zubin, a transformative AI-driven self-service data management platform designed to revolutionize how organizations handle key areas such as risk management, privacy, sovereignty, optimization, and sustainability. 

Zubin pioneers a DIY (Do It Yourself) approach to data management, empowering data creators with direct ownership and control over their data processes.

This introduction comes at a pivotal moment as organizations globally are increasingly focused on data sovereignty, ethical AI, and data privacy, thereby promoting the essential tenets of digital trust and data democracy.

“In an era dominated by AI applications, ensuring transparency in data management is crucial for building digital trust between enterprises and their customers,” said Piyush Mehta, CEO of Data Dynamics. 

“Zubin is a strategic enabler of digital trust, data sovereignty, and data democracy, guiding organizations through the complexities of the AI landscape with confidence. 

The Pune Centre of Excellence brings our solutions closer to the rapidly growing demographic of data generators, who are already implementing data protection policies and leading advancements in IT innovation.”

As the influence of AI continues to grow—expected to contribute a staggering $15.7 trillion to the global economy by 2030—the demand for data privacy is reshaping the business landscape, creating both opportunities and challenges.

Companies are faced with the strategic task of balancing customer expectations, regulatory demands, and the need for innovation.

This challenge is exacerbated by the fact that 80% of enterprise data is unstructured and unmanaged, making data accuracy a formidable task for AI modeling, especially considering the reliance of large language models (LLMs) on unstructured data.

Zubin addresses these complexities by allowing organizations to centralize data governance while decentralizing data control, enabling central IT to implement tailored data policies while empowering stakeholders across various levels of the organization.