AI App Builder Lovable Is Now Worth $13.3 Billion — Twice What It Was Eight Months Ago

Lovable, a company that uses AI to help people build software applications, has raised $400 million in new funding at a $13.3 billion valuation. The round was led by Menlo Ventures and the Scaleup Europe Fund, with more than a dozen additional investors participating, according to TechCrunch.

A valuation is simply what investors agree a company is worth at a given moment. Lovable's new $13.3 billion figure is double the $6.6 billion it was valued at in December, when it raised $330 million. Menlo Ventures led both rounds, which means at least one major investor has stayed confident in the company as its need for cash has grown.

The company told TechCrunch it reached $500 million in annualized run rate revenue in June. That number estimates what the company would collect in a full year if its current monthly revenue held steady. Comparing that $500 million to the $13.3 billion valuation gives a ratio of about 26 to 1. That is a high ratio by traditional software standards, but not unusual for AI companies where fast growth attracts higher prices.

Lovable says it hosts 60 million projects that draw 900 million monthly visitors. That puts it among the most widely used AI app-building platforms. However, the company has not said how many of those projects are actually active, making money, or kept beyond their initial creation. The gap between total project counts and real, revenue-generating usage is a familiar question for platforms like this, and one investors are presumably weighing.

The company uses two kinds of AI models. One is a model it trained in-house, and the other comes from leading outside providers — the most powerful AI systems available from companies like Google or OpenAI. Using both lets Lovable avoid relying too heavily on a single supplier, while still tapping the strongest AI when its own model is not up to a particular task. This approach has become common among AI companies trying to balance cost, speed, and quality.

In June, Lovable signed a multiyear deal with Google Cloud, increasing its usage fivefold. The deal secures access to computing power at a time when the supply and cost of AI processing remains in flux. It also ties Lovable more tightly to one provider, a common trade-off for companies whose computing needs are growing faster than their ability to shop around.

One of the new investors in this funding round is Regent, a firm that also owns TechCrunch, the outlet reporting on the deal. The disclosure is standard practice, and the overlap is out in the open rather than hidden, but readers should weigh the coverage with that connection in mind.

Lovable has also invested in other European startups, including a Danish company called Atech, which makes AI tools for designing tech hardware. The activity suggests Lovable sees itself as more than a single-product company, using its capital to support related tools that could broaden its reach.

A customer story on Lovable's blog in February 2025 described a team that used Lovable's AI to build a financial wellness app with real-time budgeting, investment recommendations, and connected interfaces. The example shows Lovable positioning itself as a complete application builder, not just a tool that writes snippets of code. That distinction matters in the market for AI development tools.

The broader context is that Lovable's jump from $6.6 billion to $13.3 billion, alongside $500 million in revenue, places it in a small group of AI companies where revenue growth is roughly keeping pace with the rising valuation. The fact that the valuation and the revenue both about doubled over the same period is, in my view, a more grounded pattern than some of the pricing seen during the 2023-2024 AI funding boom, even though the dollar amounts remain very large.

The company's mix of in-house and outside AI models, its secured Google Cloud capacity, and its investments in neighboring startups all point toward ambitions beyond a single product. Whether building broadly creates a lasting advantage, or whether it spreads the company too thin at a stage when speed matters most, is the question the next year will answer.