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Coforge CEO Ramesh Kumar unveils Data Cosmos on a big screen, flanked by analysts in a modern conference room.

Editorial illustration for Coforge Unveils Data Cosmos to Solve Enterprise Data Fragmentation and Legacy Costs

Coforge Data Cosmos: Solving Enterprise Data Fragmentation

Coforge launches Data Cosmos to tackle data fragmentation and legacy costs

Updated: 3 min read

Every company wants its data to power smart AI. But the fuel is a mess—locked in expensive legacy systems, scattered across departments, governed by no one. You can't run a modern engine on that sludge.

Indian IT firm Coforge says it's built the refinery. Its new product, Data Cosmos, bundles tools and processes to clean up the chaos. It's built around five components with space-themed names, each targeting a specific problem, from cloud migration to AI workflow management.

Data Cosmos is designed to address critical enterprise challenges such as data fragmentation, legacy systems modernisation, high maintenance costs, limited self-service analytics, lack of unified governance, manual operations, and complexities in adopting generative AI (GenAI). At its core, the tier 2 Indian IT company said the platform is structured around five technology solution portfolios: Supernova, Nebula, Hypernova, Pulsar, and Quasar. Supernova accelerates modernisation and migration from legacy systems to cloud, while Nebula delivers modern data management covering data governance, metadata, and data quality management, leveraging GenAI and agentic systems.

Hypernova powers next-generation cloud-native data platforms, Pulsar enables autonomous DataOps and MLOps operations, and Quasar accelerates GenAI adoption within enterprise data ecosystems by facilitating large language models via Google's AI/ML model library, Model Garden, and orchestrating AI workflows at scale. To boost speed-to-value, Coforge has developed the Data Cosmos Toolkit, a suite of more than 55 IPs and accelerators and 38 AI agents powered by the Data Cosmos Engine. According to the company, this toolkit enables enterprises to scale AI-enabled transformation programmes.

The pitch is straightforward. Most data transformation projects stall. They get too big, too abstract, too dependent on perfect conditions.

Coforge is betting its toolkit of 55 pre-built components and 38 AI agents provides the concrete parts to actually build something. It's an assembly kit for a functional data system, sold to executives tired of PowerPoint galaxies. Success won't come from buying the whole cosmos.

It'll come from using one piece to fix a real problem. That's the only metric that matters now.

Common Questions Answered

How does Coforge's Data Cosmos address enterprise data fragmentation challenges?

Data Cosmos tackles data fragmentation through five technology solution portfolios: Supernova, Nebula, Hypernova, Pulsar, and Quasar. The platform aims to streamline disconnected information systems, reduce maintenance costs, and enable more effective data utilization for enterprises.

What specific problems does Data Cosmos solve for organizations struggling with legacy systems?

Data Cosmos targets critical enterprise challenges including legacy system modernization, high maintenance costs, limited self-service analytics, and lack of unified governance. The platform provides a comprehensive approach to transforming complex data infrastructures and enabling more efficient technological operations.

How does Data Cosmos support enterprises in adopting generative AI technologies?

The platform is specifically designed to address complexities in generative AI adoption by creating a more unified and streamlined data environment. By reducing fragmentation and improving data governance, Data Cosmos helps organizations better prepare their data infrastructure for advanced AI implementation.

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