Naïve raises $28.5M Series A to let AI agents run companies
What's the deal? NaïveDealroom has a profile for this one. Try Dealroom → has raised $28.5 million in a Series A round led by Nexus Venture Partners to build infrastructure that lets AI agents handle the grunt work of setting up and running a business. Investors include Y Combinator, Liquid 2 Ventures, Zetta Venture PartnersDealroom has a profile for this one. Try Dealroom →, Gokul RajaramDealroom has a profile for this one. Try Dealroom →, JD ShermanDealroom has a profile for this one. Try Dealroom →, and angel investor Tim Zheng.
What's the endgame? The startup packages payments, email accounts, phone numbers, cloud infrastructure, storage, and company incorporation behind a single API. Developers hand a prompt to tools like CursorDealroom has a profile for this one. Try Dealroom →, Claude CodeDealroom has a profile for this one. Try Dealroom →, or CodexDealroom has a profile for this one. Try Dealroom →, which connect to Naïve's APIs to provision the setup and form a U.S. LLC — though users still complete KYC/KYB checks and make required payments.
A governance layer lets users set budgets, restrict agent capabilities, and require human approval before sensitive actions. Naïve also ships templates for businesses such as AI SEO, full-stack SaaS apps, recruiting, and customer support.
Why now? The company signed up more than 30,000 developer customers within months of launch and grew annual run-rate revenue tenfold to the low double-digit millions over the six months ending in August 2026, according to chief executive officer and co-founder Sean DorjeDealroom has a profile for this one. Try Dealroom →.
Dorje said customers use Naïve to run autonomous businesses, including AI automation agencies, faceless TikTokDealroom has a profile for this one. Try Dealroom → and YouTube channels, and even a rental car agency. "The first business that a lot of people start is genuinely just selling agents to other small businesses," he said.
What could go wrong? Keeping agents running can get expensive as they call costly AI models, pass large amounts of context between tasks, and consume resources while idle. Naïve is spending some of the new capital on infrastructure to make those loops more efficient, including a model router and a memory system that surfaces business context on demand.
The signal: Naïve extends the logic of vibe-coding — letting AI do most of the work — from building products to running companies. As developers race to automate ever more of the business stack, the bet is that entire operations, not just code, can be handed to agents.
Read more: TechCrunch
Image credit: Generated with Gemini
