Naïve raises $28.5M Series A to build infrastructure for autonomous businesses

Naïve, a startup offering infrastructure for AI agents to automate business operations, raised $28.5 million in a Series A funding round led by Nexus Venture Partners. The company’s platform packages tasks such as company incorporation, payments, email, phone numbers, cloud infrastructure, and storage behind a single API, enabling developers to provision these resources via AI agents using tools like Cursor, Claude Code, or Codex. Users can direct agents to form a U.S. LLC by supplying details such as state, industry code, business description, and proposed names, though they remain responsible for completing KYC/KYB processes and payments. The platform also automates setup of email inboxes, virtual cards, phone numbers, databases, computing resources, and connections to services like Stripe and QuickBooks. A governance layer allows users to set budgets, restrict agent capabilities, and require human approval for sensitive actions.

Naïve provides templates for businesses including AI SEO, full-stack SaaS apps, recruiting, accounting, customer support, and a mobile emulator for agents to operate smartphone apps on emulated devices. The company reports over 30,000 developer customers and has scaled annual run-rate revenue to the low double-digit millions in the past six months, according to CEO and co-founder Sean Dorje. Customers use Naïve to run autonomous businesses such as AI automation agencies, faceless content channels on TikTok and YouTube, and even a rental car agency. Dorje highlighted AI automation agencies as the fastest-growing use case, noting some customers operate entire rental-car agencies autonomously.

Naïve is allocating part of the new funding to develop infrastructure aimed at reducing the cost of running AI agents. This includes a model router to direct queries to the most efficient model for a task while preserving and replaying reasoned data, a memory system to store and surface business context, and an orchestrator to divide work among agents. The company is also building a serverless runtime that runs agents in lightweight JavaScript environments instead of full virtual machines, enabling customers to pay primarily when agents are active. Dorje stated that optimizing inference costs is one of the fastest-growing sources of demand, with enterprises showing interest though none were named.

Proceeds from the Series A will support hiring researchers and developing four infrastructure projects: virtualized sandboxes for agents, model routing and inference optimization, a memory layer, and governance and orchestration. The round included 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 roughly $32 million.