Mukund and Madhav Jha’s Emergent is betting that the future of software belongs to anyone who can describe what they want not just people who know how to code.
A different AI bet
Indian brothers Mukund and Madhav Jha have built AI startup Emergent around a simple idea: What if anyone could build software?
Instead of developing its own ChatGPT-like foundation model, Emergent uses models from companies such as OpenAI, Anthropic and Google.
Its platform is designed to turn natural language instructions into working software by handling tasks such as coding, testing, debugging and deployment.
Rapid growth in just a year
The startup’s growth has been striking. According to figures cited in the post, Emergent reached 11 million users, more than 200,000 paying customers and over 12 million applications created in roughly a year.
Its reported annualized revenue run-rate reached $120 million by July 2026, highlighting the speed at which the company has scaled.
$130 million funding at $1.5 billion valuation
The growth attracted a major investor bet.
In July 2026, Emergent reportedly raised $130 million in fresh capital at a $1.5 billion post-money valuation.
The round was described as entirely primary capital, meaning the money went into the company rather than being used for a founder cash-out.
Targeting non-coders
Emergent’s opportunity extends beyond professional developers. The post claims that around 70% of its users have no previous coding experience, while small and medium-sized businesses account for roughly 70% of its revenue.
The underlying opportunity is straightforward: millions of businesses want customised software but may not have the resources to hire and maintain dedicated software teams.
The numbers still need to be proven
Despite the rapid growth, the company faces questions around whether its economics can hold up over the long term.
The $120 million figure is a revenue run-rate, rather than traditional contracted SaaS annual recurring revenue.
Long-term gross margins, customer retention and the cost of AI inference also remain important metrics to watch.
The real question: Can Emergent build a moat?
Emergent’s biggest strength and potential weakness is that it sits on top of AI models built by other companies.
If AI model providers continue to improve their own software-building capabilities and make similar workflows standard features, Emergent could face increasing competition.
But if Emergent succeeds in becoming the infrastructure layer that allows virtually anyone to create and deploy software, its $1.5 billion valuation could ultimately look very different.
For now, the next chapter of the company’s story will likely depend on retention, margins and whether its software infrastructure can become a durable competitive moat.