Ramp Revolutionizes AI Model Routing with Router

Corporate expense management platform Ramp is making waves in the AI landscape with the launch of its own AI model routing service, dubbed Router. This innovative service enables users and companies to harness and switch between various large language models through a seamless API, unlocking unparalleled flexibility and efficiency in AI inference.

The company has been utilizing Router for its own AI usage needs over the past three years, and now it’s open to the public in the United States. For the remainder of 2026, Router is free to use, with users only required to pay for AI model inference costs. To sweeten the deal, Ramp is offering a $26 credit launch offer. However, it remains to be seen how much the service will cost next year.

Router operates similarly to OpenRouter, although it currently offers fewer AI model options. Nevertheless, it provides access to a diverse range of models from esteemed providers, including OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. This diverse portfolio empowers users to choose the most suitable models for their specific needs, ensuring optimal performance and cost-effectiveness.

One of the standout features of Router is its ‘strategies’ functionality, which enables users to tailor their AI requests to specific models based on their preferences. For instance, users can set a preference for model providers’ flex usage tiers or instruct Router to choose the most suitable model for their queries based on up to three user-specified benchmarks. This level of customization ensures that users can optimize their AI workflows to meet their unique requirements.

Router also provides users with a comprehensive dashboard, offering insights into token spend, cost, latency, fallback attempts, and other essential metrics. This transparency enables users to monitor their AI usage and make informed decisions about their workflows.

It’s worth noting that Router has an opt-out data retention policy, which records model inputs, outputs, and tool calls for one year by default. However, the company assures users that it will remove personally identifiable information before using this data to improve the product.

Ramp’s entry into the AI model routing business presents a dual opportunity for the company. Firstly, it enables Ramp to tap into the burgeoning AI inference market, offering a valuable new revenue stream. Secondly, by providing its existing clients with a model routing service that seamlessly integrates with its existing products, Ramp can further enhance its value proposition and deepen its relationships with its clients.

In the long term, if Router proves as attractive a model testing arena as OpenRouter has, Ramp may establish long-standing relationships with AI labs and inference providers worldwide. This could have a significant impact on the company’s growth trajectory, enabling Ramp to attract new customers and create new opportunities for selling its expense management products.

With its launch, Router is poised to revolutionize the AI model routing landscape, offering users unparalleled flexibility, efficiency, and customization options. As the AI landscape continues to evolve, it will be fascinating to see how Router adapts and expands to meet the needs of its users.