Enterprise AI firm Fractal Analytics expects robust growth as enterprises increasingly adopt AI to reimagine workflows, with improving model capabilities opening up new use cases that were previously not viable, chief executive Srikanth Velamakanni said after the company reported its latest quarterly results.
The newly listed firm crossed Rs 100 crore in net profit for the first time in the December quarter, on the back of year-on-year 21% revenue growth to Rs 854.4 crore.
Velamakanni said Fractal’s focus is on the applied AI layer, where enterprises integrate models into real-world workflows and business processes.
While large foundation model developers such as OpenAI, Anthropic and Meta continue to advance core AI models, Velamakanni said companies like Fractal play a crucial role in adapting those models to enterprise environments. The enterprise AI services firm is one-of-its-kind in the category and looks up to US’ Palantir Technologies to benchmark performance.
“These companies benefit tremendously by partnering with Fractal rather than competing with us,” he said, adding the two of the “Magnificent Seven” technology companies have chosen Fractal as the preferred partner for AI projects across their organisations.
Velamakanni said improvements in foundation models benefit the company because they enhance the capabilities of its platform and expand the scope of applications.
Fractal’s gross margins stood at about 47.2%, a relatively high level for a technology services-oriented company. The firm expects margins to improve further as a larger share of revenue comes from platform-based products, licensing and outcome-based engagements.
Chief financial officer Ashwath Bhat said the company has been able to grow revenue faster than its workforce, improving productivity and margins.
“In the last three fiscal years, revenue has grown around 30% while headcount increased about 13%,” he said.
The company ended December with around 5,900 employees, with management expecting the gap between revenue growth and hiring to widen further as AI-driven productivity improves.
Enterprises are increasingly approaching the company not for isolated projects but as long-term AI partners to transform key business processes, Velamakanni said.
The company currently has 58 clients generating over $1 million in annual revenue, including six clients contributing more than $20 million each.
It is also focusing on what it calls “must-win clients” – large enterprises with significant scale that could eventually spend hundreds of millions of dollars on AI.
Fractal is already working with 127 such large companies, management said.
The newly listed firm crossed Rs 100 crore in net profit for the first time in the December quarter, on the back of year-on-year 21% revenue growth to Rs 854.4 crore.
Velamakanni said Fractal’s focus is on the applied AI layer, where enterprises integrate models into real-world workflows and business processes.
While large foundation model developers such as OpenAI, Anthropic and Meta continue to advance core AI models, Velamakanni said companies like Fractal play a crucial role in adapting those models to enterprise environments. The enterprise AI services firm is one-of-its-kind in the category and looks up to US’ Palantir Technologies to benchmark performance.
“These companies benefit tremendously by partnering with Fractal rather than competing with us,” he said, adding the two of the “Magnificent Seven” technology companies have chosen Fractal as the preferred partner for AI projects across their organisations.
Velamakanni said improvements in foundation models benefit the company because they enhance the capabilities of its platform and expand the scope of applications.
Fractal’s gross margins stood at about 47.2%, a relatively high level for a technology services-oriented company. The firm expects margins to improve further as a larger share of revenue comes from platform-based products, licensing and outcome-based engagements.
Chief financial officer Ashwath Bhat said the company has been able to grow revenue faster than its workforce, improving productivity and margins.
“In the last three fiscal years, revenue has grown around 30% while headcount increased about 13%,” he said.
The company ended December with around 5,900 employees, with management expecting the gap between revenue growth and hiring to widen further as AI-driven productivity improves.
Enterprises are increasingly approaching the company not for isolated projects but as long-term AI partners to transform key business processes, Velamakanni said.
The company currently has 58 clients generating over $1 million in annual revenue, including six clients contributing more than $20 million each.
It is also focusing on what it calls “must-win clients” – large enterprises with significant scale that could eventually spend hundreds of millions of dollars on AI.
Fractal is already working with 127 such large companies, management said.