Developers are inherently driven to eliminate tedious tasks. The very foundation of programming demonstrates the extensive effort people will invest to automate the monotonous aspects of development. This inclination has even led to practices like "vibe-coding," where the aim is to minimize direct involvement in product assembly.
Given this industry trend, it was not particularly surprising to learn that Naïve, a platform providing infrastructure for AI agents to manage core business operations, attracted over 30,000 developer customers within months of its debut.
Advancing beyond mere "vibe-coding," the startup asserts that its infrastructure can largely automate the setup and ongoing management of a business. This is contingent, of course, on users supplying the necessary AI agents and allocated token budget. Naïve streamlines the complex process of integrating payments, email accounts, phone numbers, cloud infrastructure, storage, and company incorporation into a single, accessible API.
Naïve offers a specific prompt that developers can utilize with popular AI tools such as Cursor, Claude Code, or Codex. These tools then connect to Naïve’s APIs to provision the required infrastructure for business establishment. For instance, an agent can orchestrate the formation of a U.S. LLC, requiring inputs like the chosen state, industry code, business description, and proposed names. However, human involvement remains necessary for completing Know Your Customer (KYC) and Know Your Business (KYB) processes, as well as making any mandatory payments.
Beyond these initial steps, AI can handle the remaining setup, including configuring email inboxes, virtual cards, phone numbers, databases, computing resources, and integrations with services like Stripe and QuickBooks. A dedicated governance layer is designed to empower users to define budgets, limit agent capabilities, and mandate human approval for sensitive actions. Furthermore, the company offers business templates for diverse applications, such as AI SEO, full-stack SaaS apps, recruiting, accounting, customer support, and even a mobile emulator allowing agents to operate smartphone applications on virtual devices.
The compelling appeal of such comprehensive automation clearly resonated with the market, as evidenced by the significant user acquisition. Sean Dorje, CEO and co-founder of Naïve, reported that the company has successfully scaled its annual run-rate revenue by tenfold, reaching the low double-digit millions, over the past six months.
Leveraging this strong traction, Naïve has now secured $28.5 million in a Series A funding round, exclusively reported by TechCrunch, with Nexus Venture Partners leading the investment.
Dorje shared with TechCrunch that Naïve's customers are deploying the platform to operate fully autonomous businesses. Examples include AI automation agencies, "faceless" online content channels on platforms like TikTok and YouTube, and even a rental car agency. He recounted discovering one instance where Naïve’s infrastructure powered a TikTok channel that published AI-generated videos featuring 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.”
However, this suite of tools for running businesses might represent only a segment of Naïve’s broader potential. While extensive AI automation is appealing, the operational costs of maintaining agents can become substantial. This is due to frequent calls to expensive AI models, the transfer of large volumes of context between tasks, and resource consumption even during idle periods.
To address these efficiency concerns, Naïve is allocating a portion of its new capital to develop infrastructure aimed at optimizing agent operational loops. This includes building a model router to direct queries to the most efficient model for a given task while preserving and replaying previously reasoned data. Additionally, they are creating a memory system to store and retrieve business context as required by agents, and an orchestrator to effectively distribute work among agents.
A notable innovation from Naïve is the development of a serverless runtime designed to execute agents within lightweight JavaScript environments, rather than allocating a full virtual machine to each. This approach allows customers to pay primarily when an agent is actively engaged, significantly reducing the cost of deploying a large number of agents.
While the complete autonomous company toolkit currently sees the highest demand, Dorje indicated that optimizing inference costs is rapidly becoming one of the company's fastest-growing areas 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 stated.
He further mentioned that Naïve’s offerings are attracting interest from enterprise clients, though he did not disclose specific names.
This focus on cost optimization could evolve into a more valuable business segment than merely assisting founders with initial setup tasks like provisioning phone numbers and corporate cards. While developers may initially leverage Naïve to mitigate the tedium of company formation, as their businesses scale, their primary concern might shift towards meaningfully reducing the recurring operational costs of managing numerous agents. Established enterprises could also find significant value in such cost-saving capabilities.
Naïve currently operates with a team of 10 full-time employees. Dorje confirmed that the Series A proceeds will be channeled into hiring researchers and advancing the company's four key infrastructure projects: virtualized sandboxes for agents, model routing and inference optimization, a memory layer, and governance and orchestration frameworks.
Other participants in the Series A round included Y Combinator, Zetta, Liquid 2, and angel investors such as Gokul Rajaram, Apollo.io co-founder Tim Zheng, and former HubSpot COO JD Sherman. This latest funding round brings Naïve’s total capital raised to approximately $32 million.
The Editorial Staff at AIChief is a team of professional content writers with extensive experience in AI and marketing. Founded in 2025, AIChief has quickly grown into the largest free AI resource hub in the industry.