Automating the Business Lifecycle

Naïve provides a unified API that enables AI agents to handle the administrative and technical "grunt work" of starting and running a company. By providing a prompt-based interface, the platform allows developers to use tools like Cursor or Claude Code to orchestrate complex workflows, including:

• Legal & Admin: U.S. LLC formation, email provisioning, and phone number setup.
• Operational Integration: Connecting services like Stripe and QuickBooks.
• Technical Infrastructure: Provisioning databases, storage, and computing resources.
• Agent Tooling: Providing templates for specific business types like AI automation agencies, content channels, and customer support.

To maintain safety, the platform includes a governance layer that allows users to set budgets, restrict agent capabilities, and require human-in-the-loop approval for sensitive actions.

Solving the Agent Cost Crisis

While the initial value proposition is business setup, Naïve is pivoting toward solving the high operational costs associated with running autonomous agents. As agent loops consume significant token budgets and compute resources, the company is developing infrastructure to optimize these costs:

• Model Routing: A system that directs tasks to the most efficient model while replaying previously reasoned data to avoid redundant computation.
• Memory Layer: A centralized system to store and surface business context, reducing the need for agents to pass massive context windows between tasks.
• Serverless Runtime: By running agents in lightweight JavaScript environments rather than full virtual machines, Naïve reduces overhead and allows for more cost-effective deployment of large agent swarms.

This shift toward inference optimization is becoming a primary growth driver, as enterprises and developers alike look for ways to scale autonomous operations without incurring astronomical cloud and API bills.