Naïve raises $28.5M to automate business setup and AI agent operations

Naïve, a startup providing infrastructure that lets AI agents handle much of the work involved in setting up and running a company, has raised $28.5 million in Series A funding, the company exclusively told Bitcoin World. The round was led by Nexus Venture Partners, with participation from Y Combinator, Zetta, Liquid 2, and angel investors including Gokul Rajaram, Apollo.io co-founder Tim Zheng, and former HubSpot COO JD Sherman. The funding brings Naïve’s total capital raised to approximately $32 million.

What does Naïve do?

Naïve offers a single API that packages the process of assembling payments, email accounts, phone numbers, cloud infrastructure, storage, and company incorporation. Developers can provide a prompt to tools like Cursor, Claude Code, or Codex, which then connect to Naïve’s API to provision the infrastructure needed to set up a business. The system can orchestrate the formation of a U.S. LLC, including details such as state, industry code, business description, and proposed names, though users must still complete KYC/KYB processes and make required payments. The rest of the setup—email inboxes, virtual cards, phone numbers, databases, computing resources, and connections to services like Stripe and QuickBooks—can be handled by AI agents. A governance layer lets users set budgets, restrict agent capabilities, and require human approval for sensitive actions.

Traction and customer adoption

Since its launch, Naïve has signed up over 30,000 developer customers, according to CEO and co-founder Sean Dorje. The company has scaled annual run-rate revenue by 10x to the low double-digit millions over the past six months. Dorje said customers are using Naïve to run autonomous businesses such as AI automation agencies, “face-less” online content channels on TikTok and YouTube, and even a rental car agency. “I think the one that’s growing the fastest right now is AI automation agencies,” Dorje said. “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.”

Why this matters for the AI agent economy

The rise of “vibe-coding” has already shown how developers will automate away tedious tasks. Naïve extends that concept to business operations, potentially lowering the barrier to entrepreneurship. However, running AI agents at scale can be expensive, as costs mount from model calls, context passing, and idle resources. Naïve is addressing this with new infrastructure projects, including a model router to send queries to the most efficient model, a memory system for business context, and an orchestrator for dividing work among agents. Notably, it is building a serverless runtime that runs agents in lightweight JavaScript environments rather than full virtual machines, allowing customers to pay primarily when an agent is active.

Future outlook and enterprise interest

While the autonomous company toolkit is in highest demand today, Dorje said optimizing inference costs is one of its fastest-growing sources of demand. “Part of running an autonomous company and running agents, like that’s your biggest cost line now, and so the highest growing demand right now, I would say is [for] inference and serverless agents,” he said. He added that part of the business is attracting interest from enterprises, though he did not name any. This could prove to be a more valuable business than helping founders automatically set up phone numbers and corporate cards. Developers may initially use Naïve to handle setup tedium, but as they grow, they may care more about reducing the recurring cost of operating a horde of agents. Enterprises with established businesses may find value there, too.

Conclusion

Naïve’s $28.5M Series A reflects growing investor confidence in AI-driven business automation. With 10 full-time employees, the company plans to use the proceeds to hire researchers and develop its four infrastructure projects: virtualized sandboxes for agents, model routing and inference optimization, a memory layer, and governance and orchestration. As AI agents become more capable, the infrastructure to run them efficiently will be critical—and Naïve is positioning itself at that intersection.

FAQs

Q1: What is Naïve?
Naïve is a startup that provides infrastructure allowing AI agents to automate much of the work involved in setting up and running a business, from company incorporation to managing payments and cloud resources.

Q2: How much funding has Naïve raised?
Naïve has raised $28.5 million in a Series A round led by Nexus Venture Partners, bringing its total funding to approximately $32 million.

Q3: What are Naïve’s main products?
Naïve offers an API that packages business setup processes, plus infrastructure projects including a model router, memory system, orchestrator, and a serverless runtime for agents.