Coforge’s Quasar Gets New AI Accelerators to Deepen Enterprise Adoption

Coforge has expanded its Coforge Quasar AI platform with a suite of new AI-driven accelerators aimed at improving enterprise productivity, strengthening governance, and accelerating large-scale AI adoption across industries.

The company said the Quasar platform, launched two years ago, has recorded over 300 paid AI deployments, delivered more than 200 industry-specific AI solutions, and secured 20 strategic partnerships. 

Coforge claimed that several users now access secure, governed AI models and deployable agents through Quasar, and the new add-ons are designed to deepen workflow integration and improve scalability.

The newly introduced accelerators include AgentSphere, a marketplace for deploying and orchestrating AI agents into business workflows; Trust AI, which provides governance, privacy and compliance controls; and LLM Router, an orchestration system that selects the most effective large language model for each task.

The update also includes Model Garden, giving developers access to a broad catalogue of generative AI models along with RAG-as-a-Service, which offers managed Retrieval-Augmented Generation services grounded in enterprise knowledge bases.

The company said that these components complement Quasar GenAI Central and Quasar Marketplace, which act as the platform’s enterprise-grade generative AI playground and consolidated AI capability hub.

Vic Gupta, chief technology officer, said the expansion reflects the company’s push toward embedding AI deeper into client operations. “We see the accelerated move from decision support to AI-powered decision execution, and our approach integrates new-age architectures and federated AI models deeply into client business flows,” he said.

The Noida-based company highlighted measurable gains across industries using the platform. Banking clients saw a 9% reduction in defaulter lists and an 80% drop in manual compliance workloads, while travel companies recorded a 60% fall in ticket volumes through AI-driven self-service, it claimed. 

Insurance clients reduced submission intake time by 66%. 

Engineering teams reported a 30% jump in developer productivity and fivefold improvement in test generation, and IT operations saw a 60% cut in resolution times and up to 20% savings in support costs.

Vikrant Karnik, executive vice president and head of AI initiatives at Coforge, said the momentum underscores the platform’s alignment with business outcomes. “The rapid uptake of Quasar over the last year is testament to its alignment with what matters most to our clients: business outcomes,” he said.

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