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Google invests in vibe coding startup Emergent to accelerate AI adoption

Vibe coding startup Emergent, which scaled to 2.5 million users and surpassed a $25 million ARR run rate within just five months of launch, announced on Tuesday that it has secured a strategic investment from Google’s AI Futures Fund. The investment also provides access to Google’s latest AI models and technical expertise.

The startup did not disclose the investment amount.

Founded in 2025 by Mukund and Madhav Jha, Emergent positions itself as an agentic vibe-coding platform that enables non-technical users to build full-stack, production-ready applications through autonomous AI agents. The platform eliminates the need for expensive engineering teams or technical cofounders, thus allowing small business owners, creators, and entrepreneurs to build 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 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.

Emergent has attracted support from a range of investors, including Lightspeed, Prosus, Y Combinator, Together, and several angel backers.

In September, the company raised $23 million in a round led by Lightspeed, with participation from Together Fund, Y Combinator, Prosus Ventures, and angel investors such as Google veteran Jeff Dean, Devendra Chaplot, and Balaji Srinivasan.

Mukund said the company continues to seek additional capital to expand its user base. “Our capital strategy is simple. All the capital will go towards team building, research, improving the technology, and acquiring a lot of users.”

Security and safety remain key hurdles for Emergent, as much of the code gets generated by AI and serves users who lack the technical ability to audit it.

When apps are ready for deployment, Emergent runs them through its internal security scanners to detect common vulnerabilities such as exposed keys or unauthenticated APIs, Mukund explained. The apps deploy into cloud environments managed by Emergent, equipped with strict rate limits, firewalls, and several protective layers against attacks.

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