Naïve, the San Francisco‑based platform that lets developers embed AI agents into the nuts and bolts of a company, closed a $28.5 million Series A financing round on Tuesday. Nexus Venture Partners led the round, with participation from Y Combinator, Zetta, Liquid 2 and angels such as Gokul Rajaram, Tim Zheng and JD Sherman. The capital will back the startup’s next‑stage engineering effort and expand its go‑to‑market team.
Since its launch, Naïve has attracted more than 30,000 developer customers who use a single API to automate tasks that traditionally require weeks of manual work. The service can spin up a U.S. LLC, provision email inboxes, virtual cards, phone numbers, cloud storage and connections to Stripe, QuickBooks and other SaaS tools—all under the direction of an AI agent supplied by the developer.
Customers report using the platform to run entirely autonomous businesses. One client operates a TikTok channel that posts AI‑generated videos of dancing cats and dogs; another runs a rental‑car agency that handles bookings, payments and fleet management without human intervention. The fastest‑growing segment, according to CEO and co‑founder Sean Dorje, is “AI automation agencies” that sell customized agents to other small firms.
Revenue has surged tenfold in the past six months, reaching a low double‑digit‑million annual run‑rate. Naïve now employs ten full‑time staff, a lean team that has managed to scale the business while keeping overhead low.
The new funding will be allocated to four core infrastructure projects. First, a model‑router that directs queries to the most cost‑effective AI model while preserving prior reasoning. Second, a memory system that stores and surfaces business context for agents on demand. Third, an orchestrator that can divide complex workflows among multiple agents. Finally, a serverless runtime that runs agents in lightweight JavaScript sandboxes rather than full virtual machines, allowing customers to pay only when an agent is active.
Optimizing inference costs is already the fastest‑growing demand among Naïve’s users. As AI models become more expensive to call, developers need tools that keep operational spend in check. Enterprises that already run sizable AI workloads have expressed interest, suggesting a potential market beyond early‑stage founders.
With the Series A money, Naïve plans to hire additional researchers and engineers to bring these projects to market. The round brings total capital raised to roughly $32 million, positioning the company to become a central hub for autonomous business operations as the AI‑driven economy matures.
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