Ola's Krutrim turns profitable in FY26, pivots to domestic AI cloud services

India’s first artificial intelligence unicorn Krutrim said it has turned profitable in fiscal year 2026, while repositioning itself as a domestic AI cloud services provider in a strategic shift away from chip design.

The company reported revenue of about ₹300 crore for the year ended March 2026, roughly three times higher than the previous fiscal, and posted its first annual net profit with a margin exceeding 10%.

The turnaround follows a business realignment in late 2025, when Krutrim reallocated capital and talent and paused its chip design efforts to concentrate on building its AI cloud services stack.

The result is a full-stack cloud service built entirely in-house, deployed at large scale without external dependencies, enabling better cost control and performance for enterprise AI workloads.

Krutrim is among a small group of firms in India offering domestically built, full-stack AI cloud services at production scale, supporting use cases across sectors including mobility, manufacturing and customer operations.

The pivot has also made the company financially self-sustaining, with no immediate need for external funding, it said.

“The company has reached an important milestone of being profitable, self-funded, and gaining market traction. Our AI cloud is built for Indian enterprises, by Indian engineers. The external client momentum we are seeing validates the depth of our platform,” a Krutrim spokesperson said.

Krutrim is seeing increasing adoption with over 25 large enterprise customers, including leading telecom service providers, top financial institutions, consumer internet platforms, AI and deep-tech companies, healthcare, logistics platforms, and digital-first enterprises, a cross-sector roster that reflects the platform's applicability beyond the Ola Group.

Demand for its GPU computing capacity is strong, with most of the available capacity already committed to enterprise workloads, the company added.

Krutrim’s shift comes as India pushes for “sovereign” AI infrastructure, with enterprises increasingly seeking locally built cloud solutions amid data localisation and security concerns.