Naïve Raises $28.5M to Automate Business Setup and AI Operations

Naïve, an AI infrastructure startup, has raised $28.5 million in Series A funding to help developers automate the repetitive work involved in setting up and running businesses. The company is building infrastructure that allows AI agents to handle tasks ranging from company formation and payments to cloud resources, email, phone systems, and business operations.

The funding highlights a growing trend in the startup ecosystem: AI agents are moving beyond individual tasks and beginning to manage entire business workflows.

Naïve Raises $28.5 Million in Series A Funding

Naïve has secured $28.5 million in Series A funding, led by Nexus Venture Partners. The latest round brings the company’s total funding to approximately $32 million.

Y Combinator, Zetta, Liquid 2, and several angel investors also participated in the round. Investors include Gokul Rajaram, Apollo.io co-founder Tim Zheng, and former HubSpot COO JD Sherman.

The company plans to use the new funding to expand its engineering and research teams and develop new infrastructure for AI agents.

What Does Naïve Do?

Naïve is building an infrastructure platform designed to let AI agents handle much of the operational work required to launch and run a company.

Instead of setting up different services manually, developers can connect AI tools such as Cursor, Claude Code, or Codex to Naïve’s API.

The platform can then help agents provision different parts of a business through a single interface.

These services include:

• Company incorporation
• Payment infrastructure
• Email accounts
• Virtual cards
• Phone numbers
• Cloud computing
• Databases and storage
• Stripe connections
• QuickBooks integrations
• Business operations infrastructure

The goal is simple: reduce the manual work required to turn an idea into an operating business.

AI Agents Can Help Set Up Companies

One of Naïve’s notable features is its ability to help AI agents manage parts of the company formation process.

Developers can provide information such as the desired U.S. state, industry code, business description, and potential company names.

The AI agent can then orchestrate the setup process.

However, humans are still required for important steps such as KYC and KYB verification and making certain payments. This means Naïve is automating the process without completely removing human oversight.

From Vibe Coding to Vibe Business Building

The company’s approach takes the idea behind vibe coding a step further.

Vibe coding allows developers to use AI tools to create software with less manual programming. Naïve applies a similar philosophy to business infrastructure.

Instead of only helping build an application, AI agents can potentially handle many of the operational tasks needed to run the company behind it.

This could create a new model where a small team, or even an individual founder, can operate a much larger business with the help of AI agents.

More Than 30,000 Developers Are Using Naïve

Naïve says it attracted more than 30,000 developer customers within months of launching.

The company has also rapidly increased its revenue. According to CEO and co-founder Sean Dorje, Naïve’s annual run-rate revenue has grown by 10x over the past six months, reaching the low double-digit millions.

The platform is already being used for different types of autonomous businesses.

These include:

• AI automation agencies
• AI-powered content channels
• Recruiting businesses
• Accounting operations
• Customer support
• AI SEO businesses
• Full-stack SaaS applications
• Rental car operations

Dorje said AI automation agencies are currently among the fastest-growing use cases.

AI-Powered Businesses Are Becoming More Autonomous

Some Naïve customers are already using AI agents to manage significant parts of their businesses.

One example involves an automated TikTok channel that publishes AI-generated videos featuring cats and dogs.

Other customers are using AI infrastructure to operate businesses such as rental car agencies.

These examples show how AI agents could eventually move beyond assisting employees and begin managing repetitive business processes themselves.

However, fully autonomous businesses still require human involvement for important decisions, compliance, financial activity, and other sensitive operations.

The Rising Cost of Running AI Agents

While autonomous businesses offer significant potential, they also create a major challenge: AI inference costs.

AI agents can make repeated calls to large language models, process large amounts of information, maintain context, and consume computing resources.

As the number of agents increases, these costs can become significant.

Naïve believes that reducing the cost of running AI agents could become an even bigger opportunity than automating company formation.

Naïve Is Building Infrastructure for More Efficient AI Agents

The startup plans to use its new funding to develop several infrastructure technologies designed to make AI agents faster and more affordable.

Model Routing and Inference Optimization

Naïve is developing a model router that can send tasks to the most efficient AI model based on the requirements of the job.

The company also wants to preserve and replay previously generated reasoning data where appropriate. This could help reduce unnecessary model calls and lower inference costs.

AI Memory Layer

Another project is a memory system designed to store important business context.

Instead of repeatedly providing the same information to an AI agent, the system can store relevant context and make it available when needed.

This could help agents maintain continuity across longer workflows.

Agent Orchestration

Naïve is also developing an orchestration layer that can divide complex tasks among multiple AI agents.

This approach could allow specialized agents to handle different responsibilities while working together toward a larger business goal.

Serverless Runtime for AI Agents

The company is also developing a serverless runtime that runs agents inside lightweight JavaScript environments.

Rather than assigning every agent an entire virtual machine, this approach is designed to use computing resources more efficiently.

Customers could therefore pay primarily when agents are actively working instead of maintaining expensive infrastructure for idle agents.

Governance and Human Oversight Remain Important

Automating business operations also creates risks.

Giving AI agents access to financial accounts, cloud infrastructure, databases, and business systems requires strong controls.

Naïve is addressing this through a governance layer that allows users to:

• Set spending limits
• Restrict agent capabilities
• Control access to business systems
• Require human approval for sensitive actions
• Manage agent activity

These controls could become increasingly important as businesses give AI agents greater responsibility.

Enterprise AI Could Be Naïve’s Bigger Opportunity

Naïve’s current customers are largely developers and startups, but the company is also seeing interest from enterprises.

This could become an important part of its future growth.

For startups, automating company formation and infrastructure setup can save time. For larger companies, however, reducing the recurring cost of operating thousands of AI agents could provide a much bigger financial benefit.

As businesses increasingly adopt AI agents, infrastructure that controls their cost, memory, computing resources, and governance could become a critical part of enterprise AI operations.

What’s Next for Naïve?

Naïve currently has 10 full-time employees.

Following its Series A funding, the company plans to hire researchers and continue developing four major infrastructure areas:

1. Virtualized sandboxes for AI agents
2. Model routing and inference optimization
3. AI memory infrastructure
4. Governance and agent orchestration

The company is positioning itself at the intersection of AI agents, business automation, and cloud infrastructure.

The Future of Autonomous Companies

Naïve’s $28.5 million funding round reflects a larger shift in the technology industry.

AI is no longer being used only to write code, create content, or answer questions. Developers are increasingly exploring how AI agents can manage entire workflows and operate businesses.

The next stage could be autonomous companies, where AI agents handle everyday operations while humans focus on strategy, creativity, compliance, and high-level decision-making.

There are still significant challenges around cost, security, reliability, regulation, and human oversight. But Naïve’s rapid growth suggests that demand for infrastructure supporting autonomous businesses is already emerging.

As AI agents become more capable, companies that can make them cheaper, safer, and easier to manage could play an important role in the next generation of startups.

Final Thoughts

Naïve’s latest funding is more than another AI startup investment. It signals growing interest in infrastructure designed for a world where AI agents become active participants in business operations.

With $28.5 million in new funding, more than 30,000 developer customers, and rapidly growing revenue, Naïve is betting that the future of entrepreneurship will involve fewer manual tasks and more AI-driven operations.

For founders and developers, the opportunity is clear: AI may not just help build the next company. It could help run it, too.

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