Tech Lens Media
Tech Lens Media
Home
AI In Action
Startup FundingFundingAIAI AgentsCybersecurityEnterprise AI
AI ToolsAI AgenciesEvents
List Your AI Agency
HomeAI In ActionAI ToolsAI AgenciesEvents
List Your AI Agency
Tech Lens Media

Source-backed AI news, funding intelligence and discovery across tools, companies and emerging technology.

© 2026 Tech Lens Media. All rights reserved.

Categories

  • Startup Funding
  • Funding
  • AI
  • AI Agents
  • Cybersecurity
  • Enterprise AI
  • DeepTech

Company

  • About Us
  • Terms and Condition
  • Privacy Policy
  • Disclaimer
  • AI Information
  • Contact Us
  • Sitemap

Follow us

HomeNewsLovable Raises 400m To Turn Vibe Coding Into Business Infrastructure

Lovable Raises $400M to Turn Vibe Coding Into Business Infrastructure

H. Sureja
•
2 hours ago
•
3 mins read
AI App DevelopmentAdd as a preferred
source on Google
Share Article:
Share

Vibe coding made the first version of software astonishingly cheap to create. The harder part begins after the app works. It needs customers, payments, permissions, reliable data, security and a place inside the systems a company already depends on. Lovable’s next chapter is being built around that second half of the journey.

The Stockholm-based AI software company has raised $400 million in Series C funding at a $13.3 billion valuation, led by Menlo Ventures and co-led by the Scaleup Europe Fund managed by EQT. Balderton Capital, Carmignac, Kaszek Ventures, LTS Growth, Tencent, World Innovation Lab and Regent joined the round, alongside returning investors including Accel, CapitalG, DST Global and Salesforce Ventures.

The numbers explain why investors are leaning in. Since launching in November 2024, Lovable says users have created more than 60 million projects, while applications built on the platform receive over 900 million visits each month. Employees at nearly two-thirds of the Fortune 500 now use Lovable, according to the company. Its valuation has also doubled from the $6.6 billion attached to its $330 million Series B in December 2025.

Lovable has spent the period since its Series B building what comes next: payments for monetization, SEO and AI-search tools, integrations with Google Workspace, Microsoft 365, Salesforce, Stripe and ElevenLabs, automated security scanning, publishing controls and workspace governance. As AI-built applications enter companies, that progression increasingly overlaps with the broader push toward governed enterprise AI development, where speed matters only if IT can still control data, access and production software.

Some users are already moving well beyond prototypes. Lovable says nearly eight in 10 surveyed builders are creating businesses or side projects they hope to monetize, and more than one-third of that group already earns revenue. At Nursa, the company says a product was built in one weekend before Lovable expanded across more than 200 employees, with teams now working to retire 10 SaaS systems. These are company-reported outcomes.

That accessibility also changes what matters when technical execution becomes easier. The advantage moves toward choosing the right problem, evaluating what AI produces and taking responsibility for the finished product, the same transition explored in TLM’s coverage of AI literacy moving beyond better prompts. It is already reaching younger builders too: imagi uses Lovable within a supervised AI creation environment for K-12 students.

Lovable now wants the platform to become more proactive, understanding what users are trying to achieve, identifying what needs attention and increasingly carrying out work without waiting for another prompt. It also plans to learn from aggregate patterns behind successful products, deepen integrations, strengthen security and governance, and grow to roughly 450 employees in 2026.

AI App BuilderAI CodingEnterprise AIFundingLovableVibe Coding

Frequently Asked Questions

Lovable says the platform will increasingly understand the outcome a user is trying to achieve, identify work that needs attention and help execute that work without waiting for explicit prompts. Deeper integrations are also intended to connect generated applications with sales, operations, marketing and other business systems.
The company wants to identify aggregate patterns associated with useful outcomes, including products that generate revenue, improve workflows or help businesses grow. Lovable says those patterns can feed back into the platform so future builders receive better assistance.

Trending News

Trending News

Related Stories

More from AI App Development