Lovable, an AI-powered app builder that lets users create functional web applications from natural language descriptions, is among a select group of companies receiving substantial investment as Menlo Ventures deploys $100 million across multiple AI portfolio companies. The capital allocation reflects a significant shift in how venture capitalists are betting on artificial intelligence, moving beyond foundational models to focus on the tools and platforms that help businesses actually build and deploy AI applications.

Menlo Ventures announced $3 billion in new capital across two funds in June, marking the largest raise in the firm's 50-year history. The capital is being deployed across a barbell strategy: seed and Series A companies through Menlo Ventures XVII, and growth-stage companies through Menlo Inflection IV. Lovable is among a select group of companies receiving nine-figure investments, alongside music-generation startup Suno and other infrastructure providers. The capital allocation reflects what Menlo partner Matt Murphy calls "a rare land-grab moment" in AI, where the winners are emerging quickly and require substantial funding to sustain hypergrowth.

Menlo Ventures

Why Are Investors Suddenly Focused on App Builders Like Lovable?

The investment in Lovable represents a broader market recognition that the next wave of AI value creation lies not in building better language models, but in making those models accessible to non-technical users. Lovable falls into a category known as "vibe coding" tools, which allow founders, product managers, and business users to describe an application idea in plain language and receive a functional, full-stack web application in return.

Unlike code assistants that integrate into developer workflows, Lovable combines frontend development with backend functionality, including integrations with databases like Supabase. This makes it particularly suited for rapid prototyping, internal tools, and early-stage SaaS products. The platform handles not only code generation but also interface design, previews, publishing, and deployment.

"AI companies need more capital than previous generations of software companies. They're staying private for longer, and the winners are quicker to break from the pack. For us, a larger fund gives us the ability to partner with founders from company formation through hypergrowth," said Matt Murphy, partner at Menlo Ventures.

Matt Murphy, Partner at Menlo Ventures

Murphy explained Menlo's investment philosophy in this space, noting that the firm learned from its early success with Anthropic, the AI model developer. The firm first invested in Anthropic's Series C round, which gave Menlo a chance to get close to the team and understand their execution. When Menlo led the Series D round, it was still the largest investment the firm had ever made at that time. That experience shaped how Menlo now approaches concentrated bets on promising AI companies.

How Are Enterprise Customers Using Vibe Coding Tools?

The enterprise adoption of vibe coding is accelerating, particularly as companies move toward multi-model AI strategies. Amazon Web Services recently announced a multiyear partnership with Superblocks, another vibe-coding startup, enabling enterprises to embed AI app builders within their private clouds. This partnership signals that hyperscaler cloud providers are actively supporting this category as a way to keep enterprise AI workloads on their platforms.

The shift reflects a fundamental change in how enterprises approach AI. Rather than betting on a single model provider like OpenAI or Anthropic, companies are increasingly adopting multiple models to reduce costs and avoid vendor lock-in. Open models accounted for 29 percent of all traffic routed through Vercel's AI gateway last month, a popular tool among enterprises to manage multi-model AI use. This multi-model strategy requires flexible scaffolding and orchestration tools that can work across different AI providers, which is where platforms like Lovable and Superblocks fit.

Steps to Building Enterprise AI Applications With Vibe Coding Tools

• Full-Stack Capability: Vibe coding tools like Lovable generate not just code but complete application components including databases, authentication systems, and business logic, enabling rapid MVP development without requiring deep technical expertise from non-developers.
• Enterprise Security Integration: Cloud providers are integrating vibe coding tools into private cloud environments, ensuring that data never leaves the enterprise's infrastructure and falls under IT governance and security controls rather than becoming rogue applications.
• Multi-Model Flexibility: These platforms support integration with multiple AI models and providers, allowing enterprises to optimize costs and avoid dependency on any single frontier model provider while maintaining control over their AI infrastructure.

Brad Menezes, CEO of Superblocks, emphasized the importance of this shift, noting that enterprise preferences have changed dramatically in recent months. "60 days ago they were like, I want a specific model. It's called Anthropic," Menezes explained. "That is flipped because now they're adopting multiple models, particularly frontier Chinese open-weight options".

Brad Menezes, CEO of Superblocks

"We're going to bring it to your data inside your private cloud. The big thing about that is data never leaves. It's their AWS account and basically secure with all of the auditing, all of the encryption, all of the network controls," said Brad Menezes, CEO of Superblocks.

Brad Menezes, CEO of Superblocks

What Does This Mean for the Broader AI Market?

Menlo's investment in Lovable is part of a larger trend where venture capital is flowing toward application-layer companies that help enterprises operationalize AI. Murphy noted that the market is transitioning from Phase 1, where developers simply picked a model to start building, to Phase 2, where companies at scale are optimizing their AI spending and infrastructure choices.

The biggest bottleneck Murphy identified is not model quality but deployment velocity. "The number one bottleneck has been how to take all the new code that has been written and get it into production faster, safely, and securely," Murphy said. This has created tailwinds for companies helping with software delivery, code security, and code review. Additionally, the rise of custom models based on open-source and open-weight models has created bottlenecks as companies look for compute resources, training infrastructure, sandboxes, and runtime resources.

Lovable's position in this ecosystem is strengthened by the fact that it addresses both the speed-to-market problem and the democratization challenge. By enabling non-technical stakeholders to build functional applications, Lovable reduces the bottleneck of developer availability while maintaining the quality standards required for enterprise use. The investment from Menlo signals confidence that Lovable can scale rapidly to capture a significant share of this emerging market.

As the AI market matures, the winners are likely to be companies that sit at the intersection of accessibility and enterprise-grade capability. Lovable's position in Menlo's portfolio reflects investor confidence that the future of AI development belongs not to those building the best models, but to those building the best tools for turning those models into real business value.