NewsStocksCoforge Bets on Applied AI, Says Next Phase Won't Be Won by Access to LLMs

Coforge Bets on Applied AI, Says Next Phase Won't Be Won by Access to LLMs

Author: CNBC-TV18 Markets·

Key Takeaways

  • •Coforge contends that the next phase of AI competition will be driven by enterprise-grade AI deployment capabilities rather than access to foundational large language models.
  • •The company expects Q2 to deliver one of its strongest quarters for large deal signings, typically contracts valued at $50 million or more, indicating continued demand for AI-led transformation projects.
  • •Coforge is integrating its 2024 acquisition of Encora, a digital engineering specialist, to bolster its capabilities in cloud-native engineering, data analytics, and product development.
  • •As LLMs from providers like OpenAI, Google, and Anthropic become commoditized, Coforge sees differentiation coming from embedding AI into specific enterprise workflows such as insurance claims processing and banking fraud detection.
  • •Coforge's applied AI strategy aligns with a broader industry trend where IT services providers are transitioning from pilot projects to scaled, production-grade AI deployments while addressing data privacy, compliance, and legacy system integration challenges.
Coforge Bets on Applied AI, Says Next Phase Won't Be Won by Access to LLMs

Coforge, an IT services firm, is positioning itself around applied artificial intelligence, arguing that the next phase of the AI race will not be determined by who has access to large language models (LLMs) but by the ability to deploy enterprise-grade AI applications that deliver measurable business outcomes.

The company believes the competitive landscape is shifting from foundational model access to the practical implementation of AI solutions within enterprise environments—solutions that must demonstrate clear returns on investment through improved efficiency, cost savings, or revenue generation. As LLMs from providers such as OpenAI, Google, and Anthropic become increasingly commoditized and accessible, Coforge's thesis is that differentiation will come from integration expertise—embedding AI into workflows like claims processing in insurance, fraud detection in banking, and clinical data management in healthcare.

Record Large Deal Signings Expected in Q2

Coforge said it expects one of its strongest quarters for large deal signings in the second quarter, signalling sustained demand for AI-led digital transformation projects. In the IT services industry, large deals are typically multi-year contracts valued at $50 million or more, and a strong pipeline is watched closely as a leading indicator of future revenue growth. The outlook suggests that enterprise clients continue to invest in modernizing their technology stacks despite broader macroeconomic uncertainty.

Q1 Performance

The company's first-quarter results provide context for the optimistic Q2 outlook. Coforge has been integrating its acquisition of Encora, a digital engineering specialist with a strong presence in North America and Latin America. The deal, completed in 2024, was one of the largest acquisitions in the Indian IT services sector in recent years and has drawn attention for its impact on margins and overall financial guidance. The integration expands Coforge's capabilities in areas such as cloud-native engineering, data analytics, and product development, complementing its core strengths in application development and maintenance.

Coforge, formerly known as NIIT Technologies, is headquartered in Gurugram, India, and provides IT and business process services across industries including banking and financial services, insurance, travel, and healthcare. The company was rebranded as Coforge in 2020 after being acquired by private equity firm Baring Private Equity Asia (now part of EQT) in 2019. It is listed on Indian stock exchanges.

The broader IT services sector has been navigating a period of mixed demand, with some segments showing resilience driven by cloud adoption and AI-related spending, while others face headwinds from clients optimizing existing contracts. Coforge's applied AI pitch comes as larger peers—including TCS, Infosys, and Wipro—have also been ramping up AI-focused service offerings and forging partnerships with model providers and hyperscalers. Against that backdrop, Coforge's emphasis on applied AI reflects a wider industry trend in which service providers are moving beyond pilot projects toward scaled, production-grade AI deployments, where the challenge lies in addressing concerns around data privacy, regulatory compliance, and integration with legacy systems.

Source: CNBC-TV18