Lovable Raises $330 Million Series B at $6.6 Billion Valuation

Dec 18, 2025
Swedish AI startup Lovable has secured $330 million in Series B funding at a $6.6 billion valuation, led by CapitalG and Menlo Ventures. The company plans to expand integrations, enterprise features, and infrastructure for its AI-powered software-building platform.

Swedish AI startup Lovable has raised $330 million in Series B funding at a $6.6 billion valuation, according to Menlo Ventures. The round was co-led by CapitalG and Menlo Ventures, with participation from Khosla Ventures, Salesforce Ventures, Databricks Ventures, NVentures, and others.

Lovable’s AI platform allows users to create software using natural language prompts, enabling non-technical users to build applications without coding. The company reports that more than 25 million projects have been created on its platform to date, with over 100,000 new projects launched daily.

The new funding will be used to deepen integrations with third-party apps, expand enterprise collaboration and governance features, and enhance infrastructure for hosting, databases, and payments. Lovable’s customers include major enterprises such as Klarna, Deutsche Telekom, and Zendesk, which use the platform for rapid prototyping and internal tooling.

Founded in Stockholm in 2024, Lovable has grown rapidly, reaching $200 million in annual recurring revenue within its first year. The company says the investment will help accelerate its mission to make software creation accessible to a broader range of users.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Programming Weekly

Weekly news about AI tools for software engineers, AI enabled IDE's and much more.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.