Vibe coding platform Emergent AI has raised $23 million in a round led by Lightspeed, with participation from Together Fund, Y Combinator, Prosus Ventures, and angel investors such as Jeff Dean, Devendra Chaplot, and Balaji Srinivasan.
With the new capital, the startup's total fundraise has touched $30 million, including a previous $7 million seed round. ET had reported about this on August 19.
Founded in 2025 by brothers Mukund and Madhav Jha, Emergent enables users to build production-ready software without writing any code, using just natural language prompts. In the backend, it uses a suite of autonomous AI agents that handle frontend interfaces, backend infrastructure, testing, deployment, and integration.
The brothers' vision was to lower traditional barriers to software creation, such as the need for capital, technical expertise, or a developer budget, especially for small business owners and individual creators.
"Our mission is to democratise software development for the masses. We want to bring the next billion people into software creation, making sure that anyone with an idea and a phone can build what they envision," Mukund, the firm's cofounder and CEO, said.
The app builder, which went live three months ago, has already crossed $15 million in annual recurring revenue (ARR) and claims to have over a million registered users who have collectively launched over two million apps, Mukund told ET.
"He (Madhav) brings years of research experience, including work with Amazon's deep learning team, while I focus on engineering and product. After leaving Dunzo, we assessed where we could create lasting impact, and found ourselves drawn to enabling mass access and autonomy in software engineering’’, Mukund added.
The company intends to use the fresh capital to hire talent across engineering and research, develop new product features, and improve the reliability and scalability of the platform. Funds will also be allocated to boost investment in Emergent's core AI technology, expand its agentic coding tech, and deepen market reach among non-technical users.
The business model focusses on providing an out-of-the-box solution for users who need robust applications supporting payments, authentication, backend logic, and automated scaling.
While continuously building out its agentic network, Mukund said the startup is betting on reinforcement learning (RL) as the next core area of investment. RL is a machine learning technique where software learns to make decisions by interacting with an environment, using trial and error to maximise cumulative benefits.
Emergent's growth comes as the software industry is moving towards no-code and agentic platforms. ET reported on Tuesday about Surat-based Rocket AI's $15 million fundraise, another company which enables software creation through natural language prompts.
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With the new capital, the startup's total fundraise has touched $30 million, including a previous $7 million seed round. ET had reported about this on August 19.
Founded in 2025 by brothers Mukund and Madhav Jha, Emergent enables users to build production-ready software without writing any code, using just natural language prompts. In the backend, it uses a suite of autonomous AI agents that handle frontend interfaces, backend infrastructure, testing, deployment, and integration.
The brothers' vision was to lower traditional barriers to software creation, such as the need for capital, technical expertise, or a developer budget, especially for small business owners and individual creators.
"Our mission is to democratise software development for the masses. We want to bring the next billion people into software creation, making sure that anyone with an idea and a phone can build what they envision," Mukund, the firm's cofounder and CEO, said.
The app builder, which went live three months ago, has already crossed $15 million in annual recurring revenue (ARR) and claims to have over a million registered users who have collectively launched over two million apps, Mukund told ET.
"He (Madhav) brings years of research experience, including work with Amazon's deep learning team, while I focus on engineering and product. After leaving Dunzo, we assessed where we could create lasting impact, and found ourselves drawn to enabling mass access and autonomy in software engineering’’, Mukund added.
The company intends to use the fresh capital to hire talent across engineering and research, develop new product features, and improve the reliability and scalability of the platform. Funds will also be allocated to boost investment in Emergent's core AI technology, expand its agentic coding tech, and deepen market reach among non-technical users.
The business model focusses on providing an out-of-the-box solution for users who need robust applications supporting payments, authentication, backend logic, and automated scaling.
While continuously building out its agentic network, Mukund said the startup is betting on reinforcement learning (RL) as the next core area of investment. RL is a machine learning technique where software learns to make decisions by interacting with an environment, using trial and error to maximise cumulative benefits.
Emergent's growth comes as the software industry is moving towards no-code and agentic platforms. ET reported on Tuesday about Surat-based Rocket AI's $15 million fundraise, another company which enables software creation through natural language prompts.
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