Naïve, a startup offering infrastructure for AI agents to automate business operations, raised $28.5 million in Series A funding led by Nexus Venture Partners. The company has gained over 30,000 developer customers within months and scaled annual run-rate revenue 10x to the low double-digit millions in the past six months. With the new capital, Naïve will develop inference optimization, model routing, memory systems, and serverless runtimes to reduce the cost of running autonomous agents for customers.
Self-hosting AI inference makes financial sense above roughly two million tokens per day or when data sovereignty is required; below that threshold, hosted APIs are cheaper and require less engineering overhead. An MLOps engineer costs around 160,000 dollars annually, typically exceeding GPU hardware costs, making the salary the true expense of self-hosting. Most companies optimize through hybrid setups routing sensitive or high-volume work locally while using frontier models via API, achieving 40 to 70 percent savings versus all-API approaches.
Hugging Face integrated Baseten as a supported Inference Provider on its Hub, allowing developers to run models like DeepSeek V4 Flash and Kimi K3 directly through Baseten's serverless infrastructure. The integration supports conversational and text-generation tasks with pricing passed through at standard rates, with no markup from Hugging Face. Developers can now call Baseten-hosted models through Hugging Face SDKs, web UI, and agent harnesses without additional setup.
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