Lovable Labs raised $330 million in Series B funding at a $6.6 billion valuation, addressing the critical gap between AI-generated code and production-ready applications. The round, jointly led by Google’s CapitalG and Menlo Ventures, included strategic investments from NVIDIA, Salesforce, HubSpot, Atlassian, and Deutsche Telekom’s venture arms.

The Stockholm-based company, founded just two years ago, crossed $200 million in annual recurring revenue in November while processing over 100,000 new projects daily. This scale demonstrates the massive demand for infrastructure that bridges AI development tools with production deployment requirements—a bottleneck that has prevented most AI coding experiments from reaching live applications.

Cursor announced a $2.3 billion Series D funding round at a $29.3 billion post-money valuation—nearly tripling its worth from $11.1 billion just five months earlier. The MIT-founded AI coding platform has crossed $1 billion in annualized revenue while expanding to over 300 employees.

This rapid ascent reflects enterprise urgency around AI-augmented development infrastructure as organizations struggle to maintain code quality and velocity amid exploding software complexity. Traditional development workflows increasingly buckle under AI-generated code volumes that require specialized tooling for review, debugging, and integration.

Vellum raised $20 million in Series A funding led by Leaders Fund to address the fundamental infrastructure bottleneck preventing enterprise AI teams from moving beyond prototypes to production-ready systems.

The New York-based platform has worked with over 150 companies across industries, from bleeding-edge startups to household names including Swisscom, Redfin, Drata, and Headspace. The funding validates what engineering teams consistently experience: building AI demos is straightforward, but deploying reliable, mission-critical AI systems requires specialized development infrastructure that doesn’t exist in traditional software engineering.