Emergent AI, the Indian-founded agentic platform for building autonomous applications, raised $130 million in Series C funding at a $1.5 billion valuation on July 28. The round, led by Creaegis with co-leads Claypond Capital and Sentinel Global, includes participation from Khosla Ventures, SoftBank Vision Fund 2, Lightspeed, and Y Combinator. Total funding to date: $230 million, according to iTWire.
The valuation represents a 5x step-up from Emergent’s $300 million Series B in January 2026, achieved in six months.
The Fundraising Timeline
The pace is notable even by current AI funding standards. Emergent raised a $7 million seed, then a $23 million Series A led by Lightspeed in September 2025 when the platform had 1 million users and $15 million in annualized revenue 90 days after launch. The $70 million Series B came in January at $300 million. Now $130 million at $1.5 billion in July.
“Since December, our revenues have become 4x and our active user base has become 4x. Our customer acquisition costs have come down and our gross margins have improved,” CEO Mukund Jha told iTWire. Jha declined to share specific revenue numbers in the interview. TechCrunch separately reported $120 million in annualized revenue at the raise, up 70% in four months, with more than 200,000 paying customers.
12 Million Apps, and How Many Are Actually Running
The headline metric is 12 million apps built on the platform in one year, with 70% of users having no prior coding experience. The more meaningful numbers came from Jha’s own candor.
“We have hundreds and thousands of apps that are live in production right now. Almost half of them actually have daily usage. Roughly 30% of them have an active payment integration,” Jha told iTWire. The company does not track what those end-user apps earn.
The geographic distribution Emergent shared with iTWire after the interview shows Europe as the largest region (2 million signups, 61,136 apps deployed), followed by LATAM (1.15 million signups, 10,442 apps) and the Middle East (938,512 signups, 9,067 apps). Conversion rates vary sharply: Australia converts 4.1% of signups into deployed apps, while the Middle East converts under 1%.
Architecture: From Coding Agent to Application Platform
Co-founders Mukund and Madhav Jha started as an AI research lab building coding agents, and the architecture reflects that origin. The platform ranked first on SWE-bench, the standard benchmark for coding agents, before pivoting to a full application builder.
Emergent hosts the apps it builds, keeping the feedback loop closed from live application back to agent. The platform runs automated testing, linting, code reviews, and security checks. Jha described an internal system called “long term memory” that allows agents to learn from errors across all apps built on the platform, reducing repeat failures over time.
The intelligence layer is rented. “We rely largely on Anthropic, OpenAI, Gemini and increasingly now on open source as well,” Jha said. Using Claude Fable 5 for coordination alongside open-source models, the company hedges against dependency on any single model provider.
Wingman: Agents Inside WhatsApp
In April, Emergent launched Wingman, an always-on agent that operates across WhatsApp, Telegram, email, text, and iMessage. It connects to Gmail, Outlook, calendars, Slack, and CRMs. Routine tasks run autonomously, while bulk messages, important data edits, and deletions pause for human confirmation.
Jha described a U.S. cleaning service owner who spent six hours daily matching cleaners to jobs manually. “Today, he uploads 2 spreadsheets on WhatsApp to these agents, and they actually do all the scheduling for him,” Jha said. “They also send out a message to all of the cleaners saying what their schedule is.”
The Capital Signal
Emergent’s round sits in a broader pattern: capital is flowing to agentic application platforms rather than foundation model companies or infrastructure providers. The bet is that the value capture in this cycle happens at the application layer, where agents build and operate software for users who never write code. Whether 12 million apps and a $1.5 billion valuation reflect durable value or a category-level pricing premium that will correct remains the open question for every investor in the round.