Naïve raises $28.5M to automate the grunt work of setting up and running a company

The history of software development is, in many ways, a relentless crusade against tedium. Programmers have long dedicated their careers to building tools that eliminate the repetitive, soul-crushing tasks inherent in creation. This philosophy has reached a new zenith with the rise of "vibe coding"—a paradigm where developers offload the heavy lifting of product assembly to AI. It is within this landscape that Naïve has emerged, providing an infrastructure layer that allows AI agents to handle the operational backbone of a business.

The market’s appetite for this level of automation is clear: within just months of its debut, Naïve has onboarded over 30,000 developer customers. Today, the company announced it has secured $28.5 million in Series A funding, led by Nexus Venture Partners, bringing its total capital raised to approximately $32 million.

From Incorporation to Execution

Naïve functions as a force multiplier for developers, packaging the complex, fragmented process of business formation into a single API. By providing a specialized prompt, developers can interface with AI tools like Cursor, Claude Code, or Codex to trigger Naïve’s infrastructure.

The platform orchestrates the formation of a U.S. LLC, handling state selection, industry classification, and naming conventions. While human intervention remains a legal necessity for KYC/KYB compliance and financial transactions, the subsequent operational setup is largely autonomous. Naïve’s infrastructure can provision:

• Corporate Foundations: Email inboxes, phone numbers, and cloud storage.
• Financial Infrastructure: Virtual cards and connections to platforms like Stripe and QuickBooks.
• Operational Resources: Databases, computing power, and even mobile emulators that allow agents to interact with smartphone applications.

To ensure safety, the platform includes a governance layer that allows founders to set strict budgets, define agent capabilities, and mandate human approval for sensitive actions.

Real-World Traction

The utility of Naïve has already moved beyond theoretical use cases. CEO and co-founder Sean Dorje reports that the company has seen its annual run-rate revenue grow tenfold over the last six months, reaching the low double-digit millions.

“I think the one that’s growing the fastest right now is AI automation agencies. You know, the first business that a lot of people start is genuinely just selling agents to other small businesses. We have some customers who run an entire rental-car agency autonomously.”

Current users are deploying Naïve to manage everything from "face-less" content channels on TikTok and YouTube—featuring AI-generated videos of pets—to full-scale AI automation agencies.

Solving the "Inference Tax"

While the ability to spin up a company via API is a compelling hook, Naïve’s long-term value proposition may lie in its technical infrastructure. Running autonomous agents is notoriously expensive; as agents pass large context windows between tasks and consume compute while idle, the "inference tax" can quickly become a business-breaking cost.

Naïve is funneling its new capital into four core infrastructure pillars designed to make agent loops more efficient: 1. Model Routing: A system that intelligently directs queries to the most cost-effective model for a specific task. 2. Memory Layer: A storage system that surfaces relevant business context to agents, reducing redundant processing. 3. Orchestration: A framework for dividing complex workflows among multiple specialized agents. 4. Serverless Runtime: A lightweight JavaScript environment that avoids the overhead of assigning full virtual machines to every agent, allowing for massive scaling at a fraction of the cost.

The Path Ahead

Dorje notes that while the "autonomous company" toolkit is the primary driver of current demand, the need for inference optimization is growing at an even faster clip. This shift suggests that Naïve is positioning itself to capture the enterprise market, where the ability to reduce the recurring operational costs of a digital workforce is paramount.

With a current team of 10, the company plans to use the Series A proceeds to expand its research and engineering efforts. The round also saw participation from Y Combinator, Zetta, Liquid 2, and notable angel investors including Gokul Rajaram, Apollo.io co-founder Tim Zheng, and former HubSpot COO JD Sherman.

As developers continue to seek ways to automate the "grunt work" of entrepreneurship, Naïve is betting that the future of business isn't just about building products—it’s about building the autonomous infrastructure that keeps those products running, day and night, without human intervention.