AI Startup Naïve Raises $28.5 Million to Help Agents Run Entire Businesses

Artificial intelligence is moving beyond individual tasks and toward something much bigger: software agents that can help build and operate entire businesses.

That is the vision behind Naïve, an AI infrastructure startup that has raised $28.5 million in Series A funding led by Nexus Venture Partners. Y Combinator, Zetta, Liquid 2 and several angel investors also participated in the round, bringing Naïve's total funding to approximately $32 million.

The Palo Alto-based company is building infrastructure that allows AI agents to handle many of the operational tasks involved in establishing and running a company.

From AI Assistants to AI-Run Businesses

Most businesses today use AI to perform individual tasks such as writing emails, generating marketing content, analysing data or answering customer questions. Naïve is targeting a different level of automation.

Its platform provides an API through which AI agents can provision infrastructure needed to operate a business. This can include email accounts, phone numbers, databases, computing resources, payment systems and accounting integrations.

The company also provides tools for automating the creation of a U.S. LLC, although humans still need to complete required identity and business verification processes and make necessary payments. In effect, the idea is to give an AI agent access to the digital infrastructure it needs to perform work that would traditionally require several people and multiple software platforms.

More Than 30,000 Developers

The concept appears to be gaining traction. Naïve says it has attracted more than 30,000 developer customers within months of launching, and that its annual revenue run-rate has grown tenfold over the past six months into the low double-digit millions.

Customers are reportedly experimenting with autonomous businesses including AI automation agencies, online content operations and even rental-car businesses. That provides an early indication of where agentic AI could be heading: not simply helping employees do their jobs faster, but becoming part of the operational infrastructure of a company.

The Hidden Challenge: Running AI Agents Is Expensive

There is, however, an important problem with the idea of fully autonomous companies. AI agents consume computing resources and make repeated calls to AI models. As the number of agents and tasks increases, the cost of running them can quickly become significant.

Naïve is therefore using part of its new funding to tackle the economics of agentic AI. Its infrastructure includes a model-routing system designed to select appropriate models for different tasks, a memory layer for storing and retrieving business context, and an orchestration system for coordinating multiple agents. The company is also developing a serverless runtime designed to reduce the cost of keeping agents running.

The economics of running agents may end up mattering as much as the ability to automate the work itself.

Why This Matters for Small Businesses

For entrepreneurs, the most interesting part of this development is the possibility of reducing the amount of administrative infrastructure required to start a company. Instead of manually creating accounts, configuring databases, connecting payment systems, setting up communication channels and integrating accounting software, an AI agent could potentially coordinate much of that process.

Humans would still need to make important decisions, provide approvals and handle regulated activities, but many repetitive implementation tasks could happen automatically.

What Could This Mean for Kenya?

The concept is particularly interesting for African businesses, where entrepreneurs often have to work across multiple disconnected systems while operating with limited staff and resources. A more mature version of this technology could allow a small business to automate functions such as:

• Customer support
• Lead generation
• Marketing
• Bookkeeping
• Inventory management
• Website operations
• Data processing
• Appointment scheduling
• Internal reporting
• Software administration

For a small company, this could mean that a team of three or four people can operate processes that previously required a much larger workforce. However, local regulations, payment infrastructure, tax requirements and business-registration processes mean that a platform designed around U.S. companies cannot simply be applied to Kenya without additional integrations and compliance support.

The Bigger AI Trend

Naïve's funding round highlights a larger shift happening across the technology industry. The first generation of generative AI largely focused on creating content. The next generation is increasingly focused on taking action.

Instead of asking an AI model to write an email, users can increasingly give agents permission to send emails, update databases, interact with software and complete multi-step workflows. That transition — from AI that answers questions to AI that executes tasks — is one of the most important developments in automation.

Our Take

The idea of an "autonomous company" still comes with significant limitations. Businesses involve legal responsibilities, financial decisions, customer relationships and situations where human judgment remains essential. But the direction is clear.

As AI agents become better at interacting with software and the infrastructure required to run them becomes cheaper, businesses may increasingly be designed around AI-first operations rather than adding AI to existing workflows. For entrepreneurs, the question may eventually change from "where can we use AI?" to "which parts of our business should still require a human to do them manually?" If you want a practical starting point, our custom AI systems service maps which processes are agent-ready today.