In a groundbreaking move for Nepal’s tech landscape, Dlytica has launched the nation’s First AI-powered Big Data Platform, named “DataNature”. This innovative platform is set to revolutionize how businesses can leverage and create Data Warehouse & Artificial intelligence (AI)  to drive growth, improve decision-making, and enhance customer experiences. As AI becomes increasingly central to business operations worldwide, Dlytica is positioning itself as the vanguard of this transformation in Nepal by providing foundation to all AI including Agentic AI.

A Vision Rooted in Data

Dlytica, with its global headquarters in Canada and offices in the USA and Nepal, has long been a leader in AI-driven data analytics. The company’s mission is simple yet ambitious: to empower businesses with the tools and insights they need to unlock the full potential of their data.

 As Ashis Parajuli, CEO of Dlytica, explains: “Our investment in Nepal is driven by the invaluable learning and experiences we have gained from the global market. With this knowledge, we aim to uplift our innovation and take it to the global stage, helping Nepal emerge as a hub for AI excellence.”

Dlytica believes that "Data is the foundation of AI". The company is focused on helping businesses transform their raw data into valuable insights that can guide strategic decision-making. As the saying goes, “Garbage in, garbage out”—without clean, accurate, and well-governed data, AI models will fail to produce meaningful results.

Strategic Partnerships and Market Leadership

The launch of DataNature is part of Dlytica’s broader strategy to lead the AI and Big Data revolution in Nepal. The company has already made significant strides with its AI360 platform, which provides businesses with a 360-degree view of their customers, customer segmentation and reverse ETL. This platform sits on top of DataNature, creating a seamless integration of Big Data analytics with AI-driven customer intelligence.

A key element of Dlytica’s strategy is collaboration, and the company has already secured significant partnerships to expand its reach. One of the most notable is with Ncell, Nepal's leading telecommunications provider, which recently launched the country’s First Data Center and Cloud Service Provider. This partnership is just the beginning, as Ashis Parajuli notes: “Our partnership with Ncell is just the beginning. We are planning for more collaborations and innovations together, working closely to shape the future of AI and Big Data in Nepal and beyond and provide fully managed Data and AI services so, business can focus on customers and business operations whereas we do handle the back”

Dlytica’s ability to compete in the global market is clear. In a space dominated by companies like Cloudera, IBM, and Pentaho, Dlytica’s DataNature platform offers a superior, complete AI ecosystem that combines Big Data management with AI-driven insights.

David, the Head of Customer Success at Dlytica, shared the company’s approach to ensuring customer success: “We’ve seen many of our customers face challenges when their data foundations were not built properly. But with our strategies for building robust data foundations, we’ve been able to rescue these projects and help businesses unlock the full potential of their data. It’s not just about AI; it’s about having the right infrastructure in place to support it.”

The Power of Data Governance and Management

As businesses across industries accumulate vast amounts of data, proper management and governance become critical. Dlytica recognizes that data management and governance are crucial parts of AI. Corporates today manage terabytes of data daily, and without a strong foundation for that data, even the most advanced AI models will struggle to deliver value.

In this context, Dlytica’s DataNature platform addresses these challenges by ensuring that businesses can store, manage, and process their data securely and efficiently. Dlytica’s focus on data governance ensures that companies are not only collecting data but doing so in a way that allows them to extract meaningful insights for better decision-making.

As Parajuli put it, “As businesses continue to scale and generate more data, proper management and governance become crucial. Data is not just about storage—it’s about ensuring quality, security, and accessibility so that AI models can deliver true value to businesses.”