Naïve Secures $28.5M Series A to Let AI Agents Automate Business Creation and Cut Operational Costs

Naïve Secures Series A Funding to Scale AI Agent Infrastructure

Naïve, a Palo Alto startup building infrastructure for AI agents to automate business setup and operations, has raised $28.5 million in Series A funding led by Nexus Venture Partners1

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. The round included participation from Y Combinator, Zetta, Liquid 2, and multiple angel investors2

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. The company has attracted over 30,000 developer customers within months of launch and scaled its annual run-rate revenue by 10x to the low double-digit millions over the past six months1

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Infrastructure Provisioning Through a Single API

Naïve packages the process of assembling payments, email accounts, phone numbers, cloud infrastructure, storage, and company incorporation behind a single API1

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. The platform supplies prompts that developers can provide to tools like Cursor, Claude Code, or Codex, which connect to Naïve's APIs to provision infrastructure needed to automate the creation and day-to-day running of business1

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. Autonomous AI agents can orchestrate the formation of a U.S. LLC by supplying details such as the state, industry code, business description, and proposed names, though users must still complete KYC/KYB processes and make required payments1

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Governance Layer and Business Templates

Beyond basic infrastructure provisioning, AI agents can automate business setup and operations including email inboxes, virtual cards, phone numbers, databases, computing resources, and connections to services like Stripe and QuickBooks1

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. A governance layer helps users set budgets, restrict their agents' capabilities, and require human approval before sensitive actions are carried out1

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. The company provides templates for autonomous businesses including AI SEO, full-stack SaaS apps, recruiting, accounting, customer support, and a mobile emulator enabling agents to operate smartphone apps on emulated devices1

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Growing Demand From AI Automation Agencies

CEO and co-founder Sean Dorje revealed that customers are using Naïve to run AI automation agencies, faceless online content channels on TikTok and YouTube, and even a rental car agency managed entirely by AI agents1

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. "I think the one that's growing the fastest right now is AI automation agencies," Dorje said. "The first business that a lot of people start is genuinely just selling agents to other small businesses"1

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. One customer even created a TikTok channel posting AI-generated videos of cats and dogs dancing and boxing using Naïve's infrastructure for AI agents1

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Tackling Rising Inference Costs With New Infrastructure

While business automation attracts developers initially, Naïve is using the Series A funding to address a potentially larger opportunity: reducing AI agent operational costs1

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. The cost of keeping agents running can grow astronomical as they call expensive AI models, pass large amounts of context between tasks, and consume resources while sitting idle1

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. The company is building a model router to send queries to the most efficient model for each task while preserving and replaying already reasoned data, plus a memory system that stores and surfaces business context as needed1

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Serverless Runtime to Reduce AI-Driven Automation Capabilities Costs

Naïve is developing a serverless runtime that runs agents within lightweight JavaScript environments rather than assigning each one a complete virtual machine1

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. This approach lets customers pay primarily when an agent is active and makes it less expensive to deploy large numbers of agents1

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. "Part of running an autonomous company and running agents, that's your biggest cost line now, and so the highest growing demand right now is [for] inference and serverless agents," Dorje explained1

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. Dorje noted that agent spending could grow to trillions of dollars as more companies embrace automation, stating, "Our vision at Naïve is to make each token do more, so autonomous companies can become a cost-efficient reality"2

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Enterprise Interest and Future Growth Plans

While the autonomous company toolkit drives current demand, optimizing inference costs represents one of Naïve's fastest growing sources of interest1

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. Dorje mentioned that part of the business is attracting enterprise attention, though he did not name specific companies1

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. This could prove more valuable long-term than helping founders automate company incorporation and setup tasks. As businesses scale, they may prioritize whether Naïve can meaningfully reduce AI agent operational costs over time. The startup currently has 10 full-time employees and plans to use proceeds from the Series A funding to hire researchers1

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. Watch for Naïve to expand its cost-optimization tools as enterprises seek to control spiraling AI infrastructure expenses while maintaining robust business automation capabilities.