“We bring together a deep understanding of clients’ technology landscape, strong data engineering and process re-imagining capabilities to help them leverage AI at scale. We aspire to make AI work for our customers, delivering business outcomes in cost, revenue growth and innovation,” says Salil Parekh, CEO and Managing Director, Infosys.
AI is quickly becoming a key part of Infosys’ growth, the company’s CEO told press and analysts.
Salil Parekh, CEO and Managing Director of Indian digital services and consulting giant Bengaluru. Infosysalso said his company has deepened its relationships with its largest global clients.
Parekh, during his prepared remarks during Infosys’ fiscal third quarter 2026 financial conference call, said Infosys has been expanding its strategic partnerships with AI companies, including most recently with Cognition, the San Francisco-based developer of the Devin software agent.
(Related: Infosys buys Texas, Australian companies in IT services drive)
“We will combine Cognition’s Devin software agent with Infosys’ knowledge of the customer landscape and industry expertise,” he said. “We already work with them for all of our clients.”
The third quarter also saw Infosys, ranked No. 8 on CRN 500 Solution Provideraugments the company’s Topaz AI capabilities with a suite of agent services called Topaz Fabric, which Parekh says helps customers manage and implement AI agents across the enterprise.
“We have seen strong momentum in adoption of AI among our customer base,” he said. “Today, we are working with 90% of our top 200 customers to unlock value through AI. We are currently working on 4,600 AI projects. Our teams have generated over 28 million lines of code using AI. We have built over 500 agents. We are growing our engineering team deployed at the forefront.”
Parekh said Infosys customers view the solutions provider as a trusted partner in generating value from AI investments.
“Some of the areas they are focusing on are fragmented data, legacy application landscape and business workflows that are not conducive to AI,” he said. “We bring together a deep understanding of our clients’ technology landscape, strong data engineering and process reimagining capabilities to help them leverage AI at scale. We aspire to make AI work for our clients, driving business outcomes in cost, revenue growth and innovation.”
Infosys believes that, according to Parekh, six AI-driven value pools could unlock significant additional opportunity for the company:
- AI Engineering Services
- Data for AI
- Operations Agents
- AI Software Development and Legacy Modernization
- AI and physical devices
- AI Services
“We believe we are in a unique position to capture market share in these value pools and emerge as the leading AI value creator for global businesses,” he said.
Large customer contracts contribute to Infosys’ growth, Parekh said. He said that during the quarter, the company signed 26 large transactions worth a total of $4.8 billion, of which 57 were net new revenues. He cited as an example a $1.6 billion deal with the UK’s National Health Service that expands Infosys’ work in the healthcare sector by helping the NHS leverage AI to streamline operations and improve care for UK citizens.
During the conference call, when asked how he sees the delivery of Infosys’ AI initiatives in relation to AI and agentification, Parekh said that agents play a very important role thanks in large part to the company’s strategy. Infosys Topazthe company’s first AI technology to leverage generative AI.
“We are absolutely at the forefront in this area,” he said. “What we’ve built within Topaz is Fabric, which we’ve called Topaz Fabric, a set of purpose-built agents that work with many native AI company interfaces and can support many different functions within clients, horizontally and vertically. That suite will be our agent suite. Then there are agents from other companies that we will integrate, implement, develop and operate because we know a client’s technology landscape and the depth of the industry.”
In terms of productization, Infosys has built four small language models into its product suite.
“We’re going to do a little linguistic model work,” he said. “We’ll do other things. For example, we can create a set of AI wrappers or orchestration modules that will allow customers to switch between base models, switch between agents, do agent selection. So that’s a different type of product platform, which is all in Topaz. So that’s how we’re thinking about it today.”
Infosys in numbers
For its third fiscal quarter 2025, ended December 31, Infosys reported revenue of $5.10 billion, up 1.7% from its third quarter fiscal 2024 revenue of $4.94 billion. This exceeded revenue expectations by $70 million, according to Seeking Alpha.
The company also reported net income of $747 million, or 18 cents per share, down from $804 million, or 19 cents per share last year. On a non-GAAP basis, Infosys reported net income of $855 million, or 21 cents per share, up from $804 million, or 19 cents per share last year.
Non-GAAP earnings beat analysts’ expectations by 1 cent per share, according to Seeking Alpha.
Looking ahead, Parekh said Infosys has increased its guidance for fiscal 2026 to reflect expected revenue growth of 3.0 to 3.5 percent from its previous forecast of 2.0 to 3.0 percent. The company also expects its operating margin guidance for the financial year to remain unchanged at between 20 and 22 percent.