The final week of February 2025 brought two significant deals that highlight the breadth of the Indian AI investment landscape: a large Series B for a fintech AI company and a growth round for a GPU cloud infrastructure provider. Together, they illustrate the two layers of the AI economy — the applications that serve end users and the infrastructure that makes those applications possible.
LendAI Series B — Rs 250 Crore
Mumbai-based LendAI closed a Rs 250 crore Series B led by Tiger Global and Sequoia India. The company uses natural language processing and alternative data to provide credit scores for the approximately 400 million Indians who lack formal credit history — a population that has been largely excluded from formal financial services because traditional credit scoring models cannot assess their creditworthiness. LendAI's approach combines multiple data sources — mobile phone usage patterns, utility payment history, social network characteristics, and conversational data from loan application interviews — to build credit profiles that are more accurate than traditional models for thin-file borrowers.
NeuralScale Series A Extension — Rs 85 Crore
Hyderabad-based NeuralScale raised an Rs 85 crore extension to its Series A from Nexus Venture Partners. The company provides enterprise-grade GPU cloud infrastructure with data centres in Mumbai and Hyderabad, offering Indian AI companies an alternative to American cloud providers that addresses data sovereignty concerns and reduces currency risk. NeuralScale's value proposition is straightforward: Indian AI companies that need to train and serve models with data that cannot leave India — a requirement for regulated industries like banking and healthcare — have limited options. The extension funding will be used to expand capacity at the Mumbai data centre and to begin construction of a new facility in Chennai.
Investor Perspective
The LendAI and NeuralScale deals reflect a maturing investment thesis for Indian AI. Early-stage investors are increasingly focused on companies that have demonstrated product-market fit and are ready to scale, rather than companies that are still in the research and development phase. The average deal size for Indian AI investments has increased significantly over the past two years, reflecting both the maturation of the ecosystem and the growing confidence of investors in the ability of Indian AI companies to build durable businesses.