Google Backs Emergent in No-Code AI Bet
The investment via Google’s AI Futures Fund will help the Bengaluru startup scale hiring, product development and global expansion as it pushes autonomous app building.
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Google has made a strategic investment in Emergent, a Bengaluru-based no-code platform that allows users to build production-grade applications without writing software.
The investment was made through Google’s AI Futures Fund, which backs early-stage artificial intelligence startups with capital and technical support. The amount was not disclosed.
Emergent said the funding will be used to expand hiring, accelerate product development and scale its global footprint.
Founded in July 2025, the company claims more than 2.5 million users and an annual recurring revenue run rate of $25 million.
Emergent’s platform uses autonomous agents to build and deploy web and mobile applications, handling backend infrastructure, authentication, payments and scaling. The company says the product is designed for small businesses, creators and entrepreneurs who lack in-house engineering teams.
“Not every founder has the technical expertise or resources to turn an idea into a product,” said Mukund Jha, co-founder and chief executive of Emergent. “We want to give creators and entrepreneurs the tools to build real software, regardless of complexity.”
The AI Futures Fund was launched in May to provide startups not just funding, but also early access to Google’s AI models and technical expertise. The fund recently partnered with Accel to co-invest in early-stage AI companies.
Jonathan Silber, co-founder and director of the AI Futures Fund, said Emergent was helping “lower the barriers to building real software” and that Google looked forward to supporting the company as it builds on Gemini 3.
Emergent was founded by brothers Mukund Jha and Madhav Jha.
Mukund is a Columbia Engineering graduate and a former Google engineer who earlier co-founded hyperlocal delivery startup Dunzo. Madhav previously worked as an AI scientist at Amazon and a machine-learning engineer at Dropbox.
The company raised $23 million in a Series A round in September, led by Lightspeed, taking its total funding to $30 million. Angel investors Jeff Dean, Devendra Chaplot and Balaji Srinivasan also participated.
