Indium, a Chennai-based digital engineering company is expecting a revenue growth of 25-28 per cent in FY27 driven by expansion into AI-led engineering and a new enterprise legacy modernisation product.
The company posted revenue of $130–140 million in FY26 with a similar growth rate, according to Ram Khizamboor, Chief Operating Officer (COO), Indium.
Speaking to businessline, Khizamboor said that growth will be anchored by a deliberate shift away from traditional IT services towards more complex, AI-led work. He said that the company is willing to cannibalise its own existing business with AI-driven delivery models.
“We do very little of the traditional annuity work. In many cases, we are actually telling clients to reimagine those contracts with AI, even if it means cannibalising our own revenue,” he said. Key to this AI strategy will be Indium’s new product, Lifter. As Khizamboor puts it, Lifter will be an AI-driven solution that will help enterprises modernise legacy data and software.
Modernisation projects
Khizamboor believes that a large share of modernisation projects fail due to fragmented business logic spread across systems. “The problem in modernisation is that the business logic has multiple points in the enterprise. If you do not account for that, projects fail,” he said.
He added that the product is already seeing good early traction, especially across overseas clients.
On talent, Kizanhboor said that the company will continue to look at lateral hiring for ongoing projects, but will onboard freshers and entry level talent and train them for more AI-driven tasks.
“Our view is that a fresher trained well on AI can be as productive as a mid-level engineer. So we are not cutting fresher hiring but training them as AI-native engineers,” he said.
Its workforce currently stands at around 5,200–5,300 employees, with about 90 per cent based in India across Chennai, Bengaluru and Hyderabad.
On the broader industry outlook, Khizamboor acknowledged that AI is likely to put pressure on traditional IT services, especially those built on large teams and long-term contracts. However, it believes firms that move early to adopt AI-led delivery will be better suited to deal with these challenges.
Published on April 9, 2026