What Naïve does

Through a single API and config file, Naïve enables AI agents to provision the entire operational stack of a company — including U.S. LLC formation, payment systems (Stripe), email accounts, phone numbers, cloud infrastructure, databases, QuickBooks connections, KYC/KYB verification, and governance/human-approval workflows . Developers connect coding tools like Cursor or Claude Code to Naïve's API, and the AI agent handles the rest, spinning up fully operational businesses through prompts rather than manual operations teams .

Developer traction and revenue growth

The startup has onboarded over 30,000 developer customers since its public launch . CEO and co-founder Sean Dorje told TechCrunch that the company's annualized run-rate revenue has grown 10x in six months, reaching the low double-digit millions . This rapid adoption suggests strong product-market fit among developers building AI-driven ventures.

What customers are building

Reported use cases running on Naïve's platform include AI automation agencies, faceless TikTok content businesses, and other ventures where developers use AI agents to automate company formation, payment processing, communications, cloud provisioning, and financial software connections . Customers supply the AI agents and token budget; Naïve provides the governed infrastructure layer that makes real-world business operations possible .

The Series A round

The $28.5 million round was led by Nexus Venture Partners, with participation from Y Combinator, Zetta Venture Partners, Liquid 2 Ventures, and notable angel investors including Gokul Rajaram, Apollo founder Tim Zheng, and former HubSpot CFO JD Sherman . The company was co-founded by Sean Dorje and Dennis Zax, both 20-year-old entrepreneurs who dropped out of UC Berkeley to build the platform . Currently, Naïve operates with just 10 employees .

What's being built next

Naïve is allocating the new capital toward four infrastructure projects: a model router (supporting 300+ AI models), a memory system, an orchestrator for task management and inter-agent communication, and a serverless runtime for agents . These components form what the company calls "the runtime for AI-run businesses," unifying compute, memory, payments, communications, governance, and orchestration into one platform .

What Naïve does

Through a single API and config file, Naïve enables AI agents to provision the entire operational stack of a company — including U.S. LLC formation, payment systems (Stripe), email accounts, phone numbers, cloud infrastructure, databases, QuickBooks connections, KYC/KYB verification, and governance/human-approval workflows . Developers connect coding tools like Cursor or Claude Code to Naïve's API, and the AI agent handles the rest, spinning up fully operational businesses through prompts rather than manual operations teams .

Developer traction and revenue growth

The startup has onboarded over 30,000 developer customers since its public launch . CEO and co-founder Sean Dorje told TechCrunch that the company's annualized run-rate revenue has grown 10x in six months, reaching the low double-digit millions . This rapid adoption suggests strong product-market fit among developers building AI-driven ventures.

What customers are building

Reported use cases running on Naïve's platform include AI automation agencies, faceless TikTok content businesses, and other ventures where developers use AI agents to automate company formation, payment processing, communications, cloud provisioning, and financial software connections . Customers supply the AI agents and token budget; Naïve provides the governed infrastructure layer that makes real-world business operations possible .

The Series A round

The $28.5 million round was led by Nexus Venture Partners, with participation from Y Combinator, Zetta Venture Partners, Liquid 2 Ventures, and notable angel investors including Gokul Rajaram, Apollo founder Tim Zheng, and former HubSpot CFO JD Sherman . The company was co-founded by Sean Dorje and Dennis Zax, both 20-year-old entrepreneurs who dropped out of UC Berkeley to build the platform . Currently, Naïve operates with just 10 employees .

What's being built next

Naïve is allocating the new capital toward four infrastructure projects: a model router (supporting 300+ AI models), a memory system, an orchestrator for task management and inter-agent communication, and a serverless runtime for agents . These components form what the company calls "the runtime for AI-run businesses," unifying compute, memory, payments, communications, governance, and orchestration into one platform .