Lovable, an AI Tool for Building Software, Is Raising Money at a $13 Billion Valuation

The Swedish startup Lovable is in talks to raise $300 million at a valuation of $13.2 billion. The investment firm Menlo Ventures is expected to lead the round, according to TechCrunch and Sifted.

This valuation is exactly double what Lovable was valued at just seven months ago, when it raised $330 million at $6.6 billion. That earlier round was reported by Reuters and CNBC in December 2025.

To be clear: Lovable is less than three years old. Doubling a valuation twice in six months is extraordinarily fast for a software company of any kind, let alone one this young.

The Revenue Behind the Valuation

Lovable hit $500 million in annualized revenue run rate in June 2026, meaning it was taking in roughly that amount per year at that point, up from a much smaller number when the earlier funding round closed. The company now serves major enterprise customers including Workday, Asana and Nvidia — not consumer products or startups, but established Fortune 500 companies.

That matters because Lovable is a tool for building software and apps using artificial intelligence and natural language. For years, this kind of tool was something developers and small teams used informally. Now, large companies are building it into their everyday work. That shift — from side project to core infrastructure — changes how the market values the business.

What the Numbers Mean

A $13.2 billion valuation against $500 million in yearly revenue means investors are paying roughly 26 dollars for every 1 dollar of current revenue. That is a high multiple, even in the context of AI companies today, though not unheard of for startups growing this quickly.

The real signal is the growth itself. The revenue jump from December to June — less than six months — tells you one of two things, or both: either many individual developers and teams are actively using Lovable, or large enterprises are signing significant deals with the company. The presence of Workday, Asana and Nvidia on the customer list suggests the second explanation is at least part of the story.

The broader context here involves how companies and investors are beginning to think about AI coding tools. A few years ago, these tools were seen as nice conveniences for programmers. Now, enterprises are deciding whether to standardize on them. Nvidia's use of Lovable is particularly worth noting — Nvidia's own chips power much of the AI infrastructure that Lovable itself relies on. So a company whose hardware helps make AI coding tools possible is now a paying customer of such a tool. That circularity — companies buying products built on their own infrastructure — has become more common in this wave of AI investment.

In my view, the valuation reflects a bet by investors on the total size of the market for AI-powered software creation, rather than on the company's profit today. This is a recognizable pattern from earlier technology waves. Cloud computing companies, for instance, traded at similar revenue multiples during their early years. That strategy can work, but it does rest on an assumption: that when growth slows — as it always does — the company will be able to hold onto its customers and expand its profit margins. If it does not, today's investors could lose money.

The Competitive Field

If the $13.2 billion valuation goes through, Lovable will be valued higher than most other AI coding startups, though still below the largest AI labs like OpenAI or Anthropic, which have raised funds at much higher valuations.

Lovable relies on large language models — the underlying AI technology — that it does not build itself. It instead uses models from other companies like OpenAI. As investors scrutinize profit margins in this sector, that dependency could become a challenge. Lovable is not as in control of its own technology as a company that builds its own AI models would be.

Neither Lovable nor Menlo Ventures has publicly confirmed these terms. The deal remains in talks, not finalized. Both TechCrunch and Sifted made clear they are reporting on an active negotiation, not a done deal. The $13.2 billion figure should be treated as a possible outcome, not a settled fact, for now.

Over the past year and a half, AI companies have consistently raised money at valuations that look high relative to their current revenue. The bet is that today's rapid growth will continue and compound. It is an optimistic wager. Whether it pays off depends on what actually happens in the market in the months and years ahead.