Naïve secures $28.5M to build infrastructure for AI-run businesses
Naïve has raised $28.5 million in a Series A led by Nexus Venture Partners, following the rapid adoption of its infrastructure for AI agents that set up and operate business services. The startup says it signed more than 30,000 developer customers within months of launch and increased annual run-rate revenue tenfold to the low double-digit millions during the past six months.
The company packages payments, email accounts, phone numbers, cloud infrastructure, storage and company incorporation behind a single API. Developers can give Naïve’s prompt to tools including Cursor, Claude Code and Codex, enabling those tools to connect to its APIs and provision the underlying services.
Business setup through agent infrastructure
Naïve says an agent can orchestrate the formation of a U.S. LLC by supplying information such as the state, industry code, business description and proposed names. Users must still participate in KYC and KYB processes and make required payments.
After those steps, AI can handle tasks including creating email inboxes, virtual cards, phone numbers, databases and computing resources, as well as connections to Stripe and QuickBooks. The company also offers templates for AI SEO, full-stack SaaS applications, recruiting, accounting, customer support and a mobile emulator that lets agents operate smartphone apps on emulated devices.
A governance layer is designed to let customers set budgets, restrict what agents can do and require human approval before sensitive actions. This focus on controls accompanies customer use cases that CEO and co-founder Sean Dorje said include AI automation agencies, anonymous TikTok and YouTube content channels, and a rental-car agency.
Lowering the cost of running agents
Naïve is directing part of the new funding towards infrastructure intended to make agent loops more efficient. Its planned projects include a model router that selects an efficient model for each task while preserving and replaying previously reasoned data, a memory system for storing and surfacing business context, and an orchestrator that divides work among agents.
The startup is also developing a serverless runtime that runs agents in lightweight JavaScript environments rather than giving each agent a full virtual machine. Naïve says this approach means customers pay primarily when an agent is active and can reduce the cost of deploying many agents.
The infrastructure emphasis fits a wider market in which AI compute capacity is becoming a strategic concern, as accelerating neocloud market for AI reflects the accelerating neocloud market for AI. Dorje said inference and serverless agents are among Naïve’s fastest-growing areas of demand, and that the business has drawn enterprise interest.
Funding plans and operational implications
Naïve has 10 full-time employees. The Series A also included Y Combinator, Zetta, Liquid 2, Gokul Rajaram, Apollo.io co-founder Tim Zheng and former HubSpot COO JD Sherman. The company plans to hire researchers and advance four infrastructure areas: virtualized agent sandboxes, model routing and inference optimization, a memory layer, and governance and orchestration.
For businesses assessing autonomous workflows, Naïve’s proposition is not only faster provisioning of operational tools but also closer attention to the continuing cost, permissions and supervision of agents once they are in production.