As clients seek to tap the potential of Generative AI, TCS, Infosys, and other top-tier IT firms have begun to tap the GenAI potential to build SLMs, drug discovery platforms, and several other applications based on Generative AI.
While Infosys built four SLMs for banking and IT verticals, TCS developed a Generative AI-based drug discovery solution.
Salil Parekh, Chief Executive Officer and Managing Director of Infosys, captured the mood among clients about the opportunity around Generative AI. “GenAI today is in discussion across almost every industry, most clients. We are doing a lot of work in the telco area, and financial services. Generative AI discussions are more broad-based. A lot of clients are quite actively looking at doing something,” he told analysts recently.
K Krithivasan, CEO of TCS, has related how the company tapped the power of Generative AI to solve an interesting challenge from a global life sciences company.
“One of the leading global life sciences majors partnered with TCS for accelerated cancer drug discovery. The challenge was to design small molecules against a novel target protein of interest where no target-specific small-module dataset is available. The only available input was a target protein structure. The novel molecules must satisfy all drug-like properties,” he said, replying to a question in the recent third-quarter investor call.
“We generated around 1,300 molecules, optimised for five properties, and further the reduced set had to pass several proprietary filters on the client side and assess synthesisability against the client’s in-house compound library. Both these 12 molecules have been shortlisted,” he said in the recent third-quarter investor call.
Stating that customer priorities continue to remain centered around cost optimisation and business transformation, he said GenAI, AI, and cloud services continued to see significant growth for the company in the quarter. The BFSI sector too is adopting GenAI in a big way.
Salil Parekh said that his company built four small language models (SLMs) for banking, IT operations, cyber security, and enterprises.
“These models are built using some of our proprietary data sets. We are developing over 100 new Generative AI agents for deployment within our clients. We are working closely with our Generative AI partner ecosystem to develop joint solutions for our clients,” he told analysts recently.
Huge interest
Talking about the huge interest among the clients in GenAI, he said it created three audit agents to intelligently automate multiple tasks for a professional services company.
Srini Pallia, CEO and MD of Wipro Limited, expected a significant growth in AI spending in 2025-26. “The 2025-26 looks more hopeful and resilient. Our clients are cautiously optimistic, and discretionary spending is slowly coming back. While cost optimisation remains key, we expect significant growth in AI spending. We are committed to driving innovation for our clients by leveraging the transformative power of AI,” he said.
He said Wipro was an early adopter of Agentic AI, which would be delivering impactful for its clients.
“This technology goes beyond traditional productivity assistance. While many of these applications are still experimental, we see used cases emerging in areas like customer service and supply chain management,” he said.
