Lovable Raises $400 Million at $13.3 Billion Valuation as AI Coding Moves Toward Business Automation

AI-powered software development is attracting another major wave of investment. Lovable, the Swedish startup behind the fast-growing “vibe coding” platform, has raised $400 million in Series C funding at a $13.3 billion valuation.

The round was led by Menlo Ventures and co-led by EQT's Scaleup Europe Fund, with additional investors including Balderton Capital, Tencent, World Innovation Lab, Accel and Salesforce Ventures. The new valuation is roughly double Lovable's $6.6 billion valuation from December 2025, when the company raised $330 million.

But the funding itself is only part of the story. Lovable is increasingly positioning its platform as something much broader than a tool for generating code. The company's ambition is to help people build, launch and eventually operate entire businesses using AI-powered software creation.

What is Lovable?

Lovable is part of a new generation of AI coding platforms often described as vibe-coding tools. Instead of writing software manually, users describe what they want in natural language and the AI generates the underlying application.

Someone without traditional programming experience can describe a customer-management system, marketplace or internal business application and have the platform generate a working version. That concept is attracting both individual builders and large organisations.

Growth at an extraordinary rate

Lovable says users have created more than 60 million projects since its launch in November 2024, while applications built on the platform now receive more than 900 million visits every month.

The company previously reported passing a $500 million annualized revenue run rate in June 2026, after reaching $400 million earlier in the year, and said usage had accelerated to around one million new projects per week. Those figures are company-reported metrics rather than audited financial statements, but they illustrate how quickly AI-assisted software development is being adopted.

The real shift is from coding to building

The biggest implication of Lovable's growth is not that programmers are getting a faster coding tool. It is that the definition of who can build software is changing.

• A founder can describe the product instead of commissioning it.
• A marketing employee can build an internal tool.
• An operations team can create a workflow application.
• A designer can turn a prototype into something functional.
• A small business can experiment with software that previously required an external development team.

Lovable calls this a broader “builder” economy, and its research found that a large majority of builders on the platform come from non-technical backgrounds.

Lovable wants to go beyond building

Lovable's announcement says the company wants to become a platform for building and running businesses, not simply creating applications. The platform has already added capabilities covering payments, SEO and AI-search tools, security scanning, governance and integrations with Google Workspace, Microsoft 365, Salesforce, Stripe and ElevenLabs.

The company says its next stage will involve making Lovable more proactive, with AI that can identify what needs attention and increasingly help carry out work without waiting for a user to issue every instruction. That is a transition from AI that writes software, to AI that builds software, to AI that helps operate the business running on that software.

Businesses are already using AI-built software

Lovable says businesses including Adidas, NVIDIA and Deutsche Telekom are using the platform to develop software around internal workflows and business operations. One example cited by the company is Nursa, which says it built a new enterprise product in a weekend, deployed Lovable across more than 200 employees, and is working to retire multiple SaaS tools by replacing them with internally built applications.

The rise of the “build instead of buy” model

For decades, software businesses have operated around the idea of buy versus build. Buying is usually faster, but the software may not perfectly fit the organisation's processes. If generating a custom application becomes significantly faster and cheaper, businesses may decide building their own tools makes sense for certain workflows.

This does not mean traditional SaaS is disappearing. Rather, the boundary between software customer and software creator is becoming less clear.

Why this matters for developers

The rise of AI coding does not make software engineers irrelevant. Instead, the value of engineering work moves further toward areas AI tools cannot reliably handle on their own: architecture, security, system design, data modelling, performance, reliability, complex integrations, code review, governance and production operations.

AI can generate a large amount of code very quickly. Turning generated software into a secure, reliable and maintainable production system remains a different challenge, particularly for applications handling customer information or payments.

Security is becoming part of the product

Lovable says it has introduced automatic and scheduled security scanning, governance features and a dedicated trust centre for publicly published applications, and that the platform has earned AIUC-1 certification, described by the company as a security standard for AI agents. Making software easier to create also makes it easier to create insecure software.

Competition is heating up

Lovable is not alone. Replit, Cursor and other companies are competing for users who want to build software with natural-language instructions, with Replit reported to have reached a $9 billion valuation in March. The competitive landscape is evolving rapidly as companies attempt to determine who controls the interface between human ideas and working software.

Infrastructure is scaling alongside usage. In June, Lovable signed a multiyear agreement with Google Cloud that reportedly increases its Google Cloud footprint fivefold, including access to models such as Claude and Gemini.

What this means for Kenyan businesses

For small businesses, the most important development is not necessarily Lovable itself. It is the declining cost of custom software. Many Kenyan businesses rely on generic tools because custom development has historically been too expensive.

• A Nairobi retailer might build an internal inventory dashboard.
• A logistics company could create a delivery-management interface.
• A school could build an internal reporting platform.
• A professional services firm could develop a customised client portal.
• An online business could prototype a complete digital product before hiring engineers.

That said, software that works in a demonstration is not necessarily software that is safe to run at scale. Businesses still need to answer questions about security, reliability, scalability, compliance, integration and maintenance — which is where developers, architects and automation specialists remain valuable.

Our take

The first generation of AI coding tools focused on helping people write code. The next generation is focused on helping people build products. Lovable now appears to be aiming for a third stage: helping people operate businesses through software and AI agents.

For Kenya and other emerging markets, lower barriers to software creation could allow smaller companies to build digital products that were previously beyond their technical or financial reach. The more important question may no longer be “will AI replace programmers?” but “what happens when almost anyone can create software?”

Sources: Lovable's official Series C announcement and product information, TechCrunch reporting, The Wall Street Journal and additional reporting on the company's growth and the AI coding market.