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Coforge Launches AI-Led Data Cosmos Analytics Platform
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Coforge Launches AI-Led Data Cosmos Analytics Platform

Coforge Limited has recently announced the launch of Coforge Data Cosmos, an AI-enabled, cloud-native data engineering and advanced analytics platform aimed at helping enterprises convert fragmented data environments into intelligent, high-performance data ecosystems. The platform strengthens Coforge’s technology stack by introducing a foundational innovation layer that supports cloud-native, domain-specific solutions built on reusable blueprints, proprietary IP, accelerators, agentic components and industry-aligned capabilities.

Data Cosmos is designed to address persistent enterprise challenges such as data fragmentation, legacy modernisation, high operational costs, limited self-service analytics, lack of unified governance and the complexity of GenAI adoption. The platform is structured around five technology portfolios—Supernova, Nebula, Hypernova, Pulsar and Quasar—covering the full data transformation lifecycle, from legacy-to-cloud migration and governance to cloud-native data platforms, autonomous DataOps and scaled GenAI orchestration.

To accelerate speed-to-value, Coforge has introduced the Data Cosmos Toolkit, comprising over 55 IPs and accelerators and 38 AI agents powered by the Data Cosmos Engine. The platform also enables Galaxy solutions, which combine industry-specific data models with the core technology stack to deliver tailored solutions across sectors including BFS, insurance, travel, transportation and hospitality, healthcare, public sector and retail.

“With Data Cosmos, we are setting a new benchmark for how enterprises convert data complexity into competitive advantage,” said Deepak Manjarekar, Global Head – Data HBU, Coforge. “Our objective is to provide clients with a fast, adaptive and AI-ready data foundation from day one.”

Supported by a strong ecosystem of cloud and technology partners, Data Cosmos operates across multi-cloud and hybrid environments and is already being deployed in large-scale transformation programmes for global clients.

Coforge Limited has recently announced the launch of Coforge Data Cosmos, an AI-enabled, cloud-native data engineering and advanced analytics platform aimed at helping enterprises convert fragmented data environments into intelligent, high-performance data ecosystems. The platform strengthens Coforge’s technology stack by introducing a foundational innovation layer that supports cloud-native, domain-specific solutions built on reusable blueprints, proprietary IP, accelerators, agentic components and industry-aligned capabilities. Data Cosmos is designed to address persistent enterprise challenges such as data fragmentation, legacy modernisation, high operational costs, limited self-service analytics, lack of unified governance and the complexity of GenAI adoption. The platform is structured around five technology portfolios—Supernova, Nebula, Hypernova, Pulsar and Quasar—covering the full data transformation lifecycle, from legacy-to-cloud migration and governance to cloud-native data platforms, autonomous DataOps and scaled GenAI orchestration. To accelerate speed-to-value, Coforge has introduced the Data Cosmos Toolkit, comprising over 55 IPs and accelerators and 38 AI agents powered by the Data Cosmos Engine. The platform also enables Galaxy solutions, which combine industry-specific data models with the core technology stack to deliver tailored solutions across sectors including BFS, insurance, travel, transportation and hospitality, healthcare, public sector and retail. “With Data Cosmos, we are setting a new benchmark for how enterprises convert data complexity into competitive advantage,” said Deepak Manjarekar, Global Head – Data HBU, Coforge. “Our objective is to provide clients with a fast, adaptive and AI-ready data foundation from day one.” Supported by a strong ecosystem of cloud and technology partners, Data Cosmos operates across multi-cloud and hybrid environments and is already being deployed in large-scale transformation programmes for global clients.

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