Coforge Unveils AI Accelerators on Quasar AI Platform

Coforge has expanded its Quasar AI platform with new AI-driven accelerators. Launched December 1, 2025, these tools aim to boost productivity and scale AI adoption. The Quasar AI platform has seen 300+ paid deployments and 200+ industry-specific solutions. The new features include AgentSphere, Trust AI, and LLM Router. These advancements enhance workflow integration and AI governance for enterprises.

AI Platform Enhancement

Coforge has introduced a new suite of AI-driven accelerators on its Quasar AI platform. The announcement, made on December 1, 2025, highlights the company’s commitment to driving enterprise productivity and responsible innovation.

Quasar AI Platform Growth

Since its launch, the Quasar AI platform has achieved significant traction with over 300 paid AI deployments and 200+ industry-specific solutions. The platform has also established more than 20 strategic partnerships.

New AI Accelerators

The new accelerators available on the Coforge Quasar AI platform include:

  • AgentSphere: Facilitates the discovery, deployment, and orchestration of AI agents.
  • Trust AI: Provides governance protocols, privacy frameworks, and compliance controls.
  • LLM Router: Optimizes the selection of large language models.
  • Model Garden: Offers a centralized environment for accessing generative AI models.
  • RAG as a Service: Manages Retrieval-Augmented Generation grounded in enterprise knowledge.

Impact Across Industries

Coforge Quasar AI is demonstrating measurable impact across industries. In banking, clients are seeing approximately a 9% reduction in defaulter lists and an 80% drop in manual compliance tasks. Travel clients are experiencing about a 60% drop in ticket volumes through AI-driven self-service. Insurance clients have reduced submission intake times by 66%. Additionally, engineering teams have reported a 30% increase in developer productivity, and IT operations have shortened resolution times by 60% leading to a potential 20% savings in support costs.

Source: BSE

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