Lovable Hits $13.3B Valuation After 60 Million Apps Built Without Code

Lovable raises $400M at a $13.3B valuation, betting that AI-generated software will let anyone build and run a real business

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  • Massive round: Lovable raised $400M at a $13.3B valuation, led by Menlo Ventures and EQT's Scaleup Europe Fund.
  • Explosive traction: 60M+ projects created, 900M monthly app visits, and users at nearly two-thirds of the Fortune 500 since launching in late 2024.
  • Platform pivot: Lovable is expanding from app builder to full business operating system, adding payments, integrations, security, and governance features.
  • Technical moat: A proprietary control plane dynamically routes tasks across multiple AI models, plus Lovable is training its own post-trained models for app-building.
  • Infrastructure bet: Partnership with Cerebras targets dramatically reduced response times using Wafer-Scale Engine hardware by 2027.
  • Hiring push: Plans to grow to ~450 employees, focused on ML, product, infrastructure, and security, across Stockholm, London, Boston, SF, and NYC.

Lovable, the Stockholm-born AI software creation platform, just closed a $400 million Series C at a $13.3 billion valuation. That is not a typo. A company that launched in November 2024 is now worth more than most publicly traded software firms, and it got there by doing something deceptively simple: letting people describe what they want and handing them a working app.

The numbers behind the hype

The round was led by Menlo Ventures and co-led by the Scaleup Europe Fund, managed by EQT. The investor list reads like a who's-who of global venture capital:

  • Europe: Balderton Capital, Carmignac
  • Latin America: Kaszek Ventures, LTS Growth
  • Asia: Tencent, World Innovation Lab
  • United States: Regent
  • Returning: Accel, Antler, CapitalG, DST Global, Evantic Capital, HubSpot Ventures, Salesforce Ventures

Since launching in November 2024, people have created more than 60 million projects on Lovable, and Lovable-built apps see over 900 million visits every month. Within its first year, Lovable reached employees at half of the Fortune 500; now, less than a year later, that figure has grown to nearly two-thirds. Those are not vanity metrics -- they are the kind of adoption curves that justify a $13.3B price tag.

From prototype tool to business operating system

The original pitch was simple: skip the engineering team, describe your app, ship it. That chapter is now closed. Since the Series B in December 2025, Lovable has added payment functionality, SEO and AI-search tools, deeper integrations with Google Workspace, Microsoft 365, Salesforce, Stripe, and ElevenLabs, automatic security scanning, AIUC-1 certification (the first security standard for AI agents), and governance features including publishing controls and workspace insights.

The strategic shift is clear: Lovable is no longer just a builder, it wants to be the place where businesses actually run. User survey data shows that nearly 8 in 10 users are building a business or side project they hope to monetize, and more than one-third of those are already earning revenue. That is a user base that is not experimenting -- they are operating.

Inside established companies like Adidas, NVIDIA, and Deutsche Telekom, teams are using Lovable to create software around critical workflows, replace tools that no longer serve them, and turn promising internal projects into new products and revenue streams. One standout case: Nursa's VP of Product built a new enterprise product for nursing schools in a single weekend, the company has since rolled Lovable out across its 200+ employees, rebuilt its core platform 12x faster, and is in the process of retiring 10 SaaS systems.

The technical moat nobody is talking about

Lovable's real defensibility is not the chat interface -- it is what they call the control plane. Rather than routing every request to a single model, Lovable's system dynamically assigns different parts of a build to whichever model is best suited for that specific sub-task, then stitches the results together.

The control plane watches the work as it unfolds -- what you are trying to do, how difficult the job has become, and whether the agent is making progress or starting to circle -- and can then assign different parts of the build to different models instead of asking one model to own the whole thing. Think of it as an AI foreman coordinating a crew of specialist workers, not a single contractor trying to do everything.

They are also training their own models. Post-trained models are already handling a meaningful share of app-building work in production, with the next ones being trained to handle harder problems and more of each build. This matters because it means Lovable's edge compounds over time -- every build teaches the system what good software looks like.

On the infrastructure side, Lovable is partnering with Cerebras to build toward dramatically reduced response times by 2027, targeting the Cerebras Wafer-Scale Engine, which keeps an entire model on a single massive silicon wafer -- hardware well-suited for the back-and-forth work of software creation.

Who wins, who watches nervously

The obvious winners are non-technical founders, product managers, and ops teams who have been blocked by engineering bottlenecks for years. The less obvious winner is Europe's tech ecosystem: EQT chose Lovable among its first investments of the Scaleup Europe Fund, placing it at the heart of a new effort to help Europe's most ambitious companies become global leaders.

The companies watching this nervously are the SaaS vendors whose tools enterprises are actively replacing with Lovable-built alternatives. When Nursa retires 10 SaaS subscriptions because its own teams built better internal tools, that is revenue someone else is losing. At scale, this dynamic could meaningfully compress the market for mid-tier enterprise software.

Competitors in the vibe-coding and AI-builder space -- Bolt, Replit, Cursor -- are all racing toward similar territory. But Lovable's combination of scale (60M+ projects), enterprise penetration (Fortune 500 reach), and a proprietary model-orchestration layer gives it a compounding advantage that is hard to replicate quickly.

What comes next

Lovable has laid out three concrete priorities for the capital:

  1. A proactive platform: The product will become more proactive -- understanding what people are trying to achieve, identifying what needs attention, and increasingly helping carry out the work without waiting to be prompted.
  2. Training on outcomes: The goal is to understand not only whether products are built correctly, but whether they go on to create meaningful outcomes, such as generating revenue, improving a workflow, or helping a business grow.
  3. Aggressive hiring: Lovable plans to grow to roughly 450 team members this year, hiring most heavily in machine learning, product, infrastructure, and security roles, keeping its center of gravity in Stockholm while expanding in London, Boston, San Francisco, and New York.

The $400M gives Lovable the runway to pursue all three simultaneously. For anyone building internal tools, launching a startup, or trying to reduce SaaS spend, Lovable is now a platform worth taking seriously -- not just as a prototyping shortcut, but as a potential foundation for how your team ships and runs software.

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