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Naïve gives AI agents everything they need to run real-world companies – from LLC formation to payments to governance – behind a single API.
ENTRY ANGLES
Governance template marketplace for regulated industries · Industry-specific agent compliance packages pre-approved for HIPAA/SEC/FINRA · Audit trail SaaS for enterprise AI deployments
VERTICALS
CAPABILITIES
Regulatory domain expertise, Enterprise compliance sales motion, Agent architecture design from ground up
A rental-car agency in the US is currently operating with no employees. An AI agent handles bookings, customer inquiries, payment processing, and refunds. Its owner monitors a dashboard and does nothing else. This is not a demonstration – it is one of the fastest-growing use cases on Naïve, a Palo Alto infrastructure startup that closed a $28.5 million Series A in August 2026 with 30,000 developer customers and an annual revenue run rate that has grown 10x in six months.
The infrastructure problem Naïve is solving is not primarily about cost or speed. It is about missing primitives. Stripe's architecture assumes a legal entity with a human who can accept liability. AWS requires someone capable of responding to an outage. A Twilio account requires a phone number tied to a registered business. None of that scaffolding applies to an AI agent that needs to start operating without a bank account, a business registration, or a human who can be called for identity verification. Naïve consolidates LLC formation, virtual cards, cloud compute, communications infrastructure, and multi-agent orchestration into a single API. A developer pastes a prompt; it writes naive.config.ts and provisions everything the agent needs to function as a legal economic entity.
The governance layer is the part incumbents cannot replicate by adding agent endpoints to existing APIs. Stripe could add an agent-compatible payment interface, but Stripe's compliance stack was built to trust a human principal who authorized the integration. Naïve's zero-trust firewall is architected inversely: capability boundaries are defined first, and the agent operates within them. Hard ceilings on spend, mandatory human approval for transactions above set thresholds, and immutable audit logs of every action the agent executed are designed in rather than bolted on – and that distinction matters precisely to the buyers who need to answer to compliance teams.
Annual run-rate revenue growing 10x in six months across 30,000 developer accounts signals something beyond experimentation. Developer platforms that grow 10x on consumption-based pricing in that timeframe are experiencing economic deployment – customers are running things that generate revenue, not just things that work in test environments. The rental-car agency is a live operating business. The AI automation agencies on the platform are billing clients and collecting payment. Naïve is accumulating evidence that the autonomous company model is economically viable at small scale, not just technically interesting.
The comparison to Skyfire and Natural is instructive. Skyfire raised $9.5 million building payment rails for AI agents. Natural raised $40 million building wallets, vaults, and settlement infrastructure for agent-to-agent transactions. Both solve the financial primitive problem. Naïve's claim is that financial infrastructure is one component of a stack that also requires legal existence, compute, communications, and governance. The rental-car agency use case cannot run on Skyfire or Natural alone: it also needs a legal entity to sign the vehicle purchase agreement, a cloud layer to run the booking logic, and an inbox to receive customer complaints. Naïve provides all of it behind a single configuration file.
The governance layer is the most defensible expansion path. Enterprise buyers deploying agents at scale need compliance templates that match their industry's regulatory requirements: healthcare agents must operate under HIPAA constraints for data access and breach notification; financial services agents face SEC and FINRA record-keeping requirements; legal tech agents must handle attorney-client privilege controls. Those templates require the same underlying architecture Naïve has built, but they need pre-approval by legal and compliance teams rather than configuration by individual developers.
A marketplace of industry-specific governance templates creates a sales motion that reaches a different buyer at a different price point: not developers selecting a $49/month infrastructure tool, but compliance functions at enterprises that are blocked from deploying agents precisely because no approved framework exists for what those agents can and cannot do. That is the market segment that pays legal-software prices – and it is a segment that every incumbent in the space is poorly positioned to serve, because it requires governance as the foundation of the architecture rather than as a feature added later.