Developers have a deep aversion to repetitive, tedious work—it's practically the driving force behind the entire field of programming. People will go to great lengths to automate the dull parts of building things, and with the rise of vibe-coding, they've even figured out how to skip most of the hands-on effort in product creation. So it came as no surprise to learn that Naïve, a startup offering infrastructure that lets AI agents handle the heavy lifting of running a business, had attracted over 30,000 developer customers just months after launching. Taking vibe-coding to the next level, the company claims its platform can automate most of the work involved in setting up and operating a business—assuming you provide the AI agents and the necessary token budget, of course. It wraps the process of assembling payments, email accounts, phone numbers, cloud infrastructure, storage, and even company incorporation into a single API. Naïve provides a prompt that developers can feed into tools like Cursor, Claude Code, or Codex, which then connect to their APIs to provision the infrastructure needed to launch a business. The system allows an agent to orchestrate the formation of a U.S. LLC, supplying details such as the state, industry code, business description, and proposed names, though users still need to step in to complete KYC/KYB processes and handle any required payments. Everything else—setting up email inboxes, virtual cards, phone numbers, databases, computing resources, and integrations with services like Stripe and QuickBooks—can be handled by AI. A governance layer helps users set budgets, limit their agents' capabilities, and require human approval before sensitive actions are executed. The company also offers templates for various business types, including AI SEO, full-stack SaaS apps, recruiting, accounting, customer support, and even a mobile emulator that lets agents operate smartphone apps on simulated devices.

The appeal of this level of automation clearly struck a chord, as the user numbers suggest. Naïve has also grown its annual run-rate revenue by 10x to the low double-digit millions over the past six months, according to CEO and co-founder Sean Dorje.

Based on that momentum, the company has now raised $28 million in Series A funding, led by Andreessen Horowitz. Dorje shared a few examples of what customers are building with the platform. In one case, he came across Naïve's infrastructure supporting a TikTok channel that posted AI-generated videos of cats and dogs dancing and boxing. "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."

But this toolkit for autonomous businesses might only be part of Naïve's broader opportunity. Using AI to automate everything sounds appealing, but the costs of keeping agents running can spiral as they call expensive AI models, pass large amounts of context between tasks, and consume resources while idle. Naïve is channeling some of the new capital into infrastructure designed to make those agent loops more efficient. The company is developing a model router that sends queries to the most cost-effective model for each task while preserving and replaying already-reasoned data; a memory system that stores and surfaces business context as needed by agents; and an orchestrator that divides work among agents. Notably, Naïve is also building a serverless runtime that runs agents within lightweight JavaScript environments rather than assigning each one a full virtual machine—an approach that lets customers pay primarily when an agent is active and makes it cheaper to deploy large numbers of agents. While the autonomous company toolkit is currently in highest demand, 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 this part of the business is attracting interest from enterprises, though he didn't name any.

That could turn out to be a more valuable business than helping founders quickly set up phone numbers and corporate cards. Developers might initially use Naïve to handle the drudgery of company setup, but as they scale, they may care more about whether it can meaningfully cut the recurring costs of running a fleet of agents. Established enterprises could also find value in that area. Naïve currently has 10 full-time employees, and Dorje said the Series A proceeds will go toward hiring researchers and advancing the company's four infrastructure projects: virtualized sandboxes for agents, model routing and inference optimization, a memory layer, and 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. The funding brings Naïve's total capital raised to roughly $32 million.