Founded by Mukund and Madhav Jha in 2025, Emergent calls itself an agentic vibe coding platform that lets non-technical users build full-stack, production-ready applications using autonomous AI agents. The startup removes the need for capital-intensive engineering teams or technical cofounders, allowing small business owners, entrepreneurs, and creators to create software without writing code.
“We are partnering deeply across three to four areas [with Google]: Gemini models for our backend-heavy workloads (we were a Gemini 3 launch partner), DeepMind research on app design, accuracy, and reinforcement learning; GCP (Google cloud) for hosting small-footprint production apps; and distribution via Android, search, and other properties,” said Mukund.
“Emergent’s work is helping people make their ideas a reality,” Jonathan Silber, cofounder and director of the AI Futures Fund at Google, said in a statement.
Silber had told ET during the launch of the Atoms programme under the AI Futures Fund that Google is looking to support founders of early-stage Indian AI startups through a mix of capital and compute.
In September, the company raised $23 million in a round led by Lightspeed, with participation from the Together Fund, Y Combinator, Prosus Ventures, and angel investors such as Google veteran Jeff Dean, Devendra Chaplot, and Balaji Srinivasan.
Mukund said the company is always looking for more capital to widen its user base. “Our capital strategy is simple. All the capital will go towards team building, research, improving the technology, and acquiring users.”
Security and safety pose significant challenges for Emergent, as much of the code is AI-generated, and caters to non-technical users who cannot review it. When apps are ready for publication, Emergent runs them through its own security scanners to catch common vulnerabilities, such as exposed keys or unauthenticated APIs, Mukund explained. The apps are deployed in cloud environments managed by Emergent, complete with strict rate limits, firewalls, and security measures.
Vibe coding has become one of the most popular use cases of AI. With this, users can describe apps in a natural manner and let autonomous agents generate the code, test, and deploy it. Tools like Cursor and Lovable lead the space, alongside competitors such as Replit and Windsurf.
The domain has seen massive growth in 2025. In November, Cursor raised $2.3 billion at a $29.3-billion valuation, and there were reports of Lovable raising funds at a valuation of $6 billion. Replit hit an ARR of $253 million and a $3-billion valuation.
