Fractal bets on agentic AI to drive revenue

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Subscribe to enjoy similar stories. Fractal Analytics has two agentic AI projects in development, a first for the company, one of which has already started pulling in revenue, according to company co-founder Srikanth Velamakanni. “We aim to deploy agentic AI systems to drive enterprise productivity, improve accuracy (and effectiveness) of decision-making and improve customer experience," Velamakanni said in an interview with Mint.

Agentic AI systems are an emerging technology within artificial intelligence that combines the capabilities of large language models, machine learning and natural language processing to perform tasks independently and with minimum human supervision. In 2024, enterprise applications with built-in agentic systems have only 1% adoption among companies in 2024, but that number is likely to go up to 33% by 2028, according to management consulting firm Gartner. Fractal’s shift towards agentic AI systems marks a shift in the company’s revenue generation strategy.

“All of Fractal's revenues are from building AI systems to power decisions. We expect many of these to become agentic in the near future," Velamakanni said. Fractal’s deployed agentic AI project is called ‘Cogentiq’ and is an agentic AI platform that accesses a company’s data to deliver insights to assist in decision-making and execution.

“We’re creating a marketplace of agents that work with each other or can be used in any problem-solving that we do for clients," Velamakanni said. The company expects that licensing the Cogentiq platform will contribute 20% of Fractal’s revenue going forward. In FY25, it brought in $5 million in revenue for the company.