Naïve Raises $28.5 Million to Automate the Work of Running a Company With AI Agents

Naïve, a startup building infrastructure for AI agents to run businesses, has raised $28.5 million in Series A funding as demand grows for tools that automate the repetitive work of setting up and operating companies.

Nexus Venture Partners led the round and brings Naïve’s total funding to about $32 million. The company says it has attracted more than 30,000 developers within months of launching and has increased its annual recurring revenue 10x to the low double-digit millions over the past six months.

Naïve packages services such as payments, email, phone numbers, cloud infrastructure, storage and company incorporation behind a single API. Developers can connect the platform to AI coding tools including Cursor, Claude Code and Codex, allowing agents to provision much of the infrastructure needed to operate a business.

AI agents can handle much of the setup

The platform can help agents form a U.S. LLC by providing information such as the state, industry and business description. Humans still need to complete required KYC and KYB checks and make certain payments, but many other tasks can be automated.

AI agents can set up email accounts, virtual cards, phone numbers, databases and computing resources, as well as connections to services such as Stripe and QuickBooks. Naïve also provides templates for businesses ranging from AI automation agencies and SaaS companies to recruiting, accounting and customer support.

A governance layer allows users to set budgets, limit what agents can do and require human approval for sensitive actions.

CEO and co-founder Sean Dorje said customers are already using the infrastructure to operate autonomous businesses, including AI automation agencies, faceless TikTok and YouTube channels and even a rental car business.

“I think the one that’s growing the fastest right now is AI automation agencies,” Dorje said. “We have some customers who run an entire rental-car agency autonomously.”

Reducing the cost of autonomous AI

Naïve believes the larger opportunity may be reducing the cost of running large numbers of AI agents. Agent-based systems can become expensive as they repeatedly call AI models, process large amounts of context and consume computing resources.

The company is using the new funding to develop infrastructure aimed at lowering those costs. Its projects include a model router that sends tasks to efficient models, a memory system that stores business context, and an orchestrator that divides work between agents.

Naïve is also developing a serverless runtime that runs agents in lightweight JavaScript environments rather than assigning each agent a full virtual machine. The company says this could allow customers to pay primarily when agents are active.

Dorje said demand for inference optimisation and serverless agents is growing particularly quickly because inference can become one of the highest costs of operating autonomous businesses.

Enterprise opportunity

Naïve currently has 10 full-time employees and plans to use the funding to hire researchers and build its infrastructure projects around agent sandboxes, inference optimisation, memory, governance and orchestration.

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

While Naïve initially attracted developers looking to automate the tedious process of starting a company, its ability to reduce the recurring costs of operating AI agents could ultimately prove more valuable to larger businesses and enterprises.