Pine Labs invests Rs 24 crore in AI R&D in FY26

Pine Labs invested about Rs 24 crore in AI and R&D initiatives in FY26, with Rs 20 crore going into AI capabilities and automation and Rs 4 crore into enterprise-wide AI tools.…

Pine Labs invested about Rs 24 crore in AI and R&D initiatives in FY26, with Rs 20 crore going into AI capabilities and automation and Rs 4 crore into enterprise-wide AI tools. The fintech firm said its internal automation reduced software testing cycle times by over 95%, boosted developer productivity by 25%, and cut incident analysis time by 80%.

Pine Labs invests Rs 24 crore in AI R&D in FY26

The company also launched consumer and merchant AI tools, including P3P, an autonomous payments protocol built on UPI, and SignalIQ, a bank statement analyser that has processed over 50,000 loan requests. Pine Labs said its AI governance layer, Agentic HQ, ensures role-based permissions and audit trails.

Pine Labs turned profitable in FY26 with a net profit of Rs 112.5 crore and operating revenue of Rs 2,710.6 crore. In Q1 FY27, net profit rose more than four times year-on-year to Rs 19.6 crore. Shares ended 3.84% higher at Rs 163.50 on the BSE.

Indian Opinion Analysis

Pine Labs is among a handful of Indian fintech unicorns that have publicly committed to integrating AI across both internal operations and customer-facing products. The company's focus on an autonomous payments protocol is notable because it pushes AI deeper into the core UPI infrastructure, where regulatory oversight from the National Payments Corporation of India is stringent. The reported reduction in testing time and the claim that AI agents now handle 89% of new code changes suggest the company is betting on automation to scale without proportionally increasing headcount. With profitability already achieved in FY26, the next marker for investors will be whether these AI investments can sustain or improve margins as transaction volumes grow.


Source: inc42.com

This brief was synthesised by AI from the source linked above.

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