Ramp launches its own AI model router, called Router

Ramp, the corporate expense management platform, launched a new AI model routing service called Router on Wednesday evening. The service is available in the United States and allows users and companies to access and switch between various large language models through an API. Ramp says it has used the router internally for its own AI needs over the past three years. The service is free for the remainder of 2026, though users will still pay for AI model inference costs, and it includes a $26 credit as a launch offer. Ramp has not disclosed how much the service will cost next year.

Router operates similarly to OpenRouter, though that service offers a much wider selection of AI models than Ramp’s current lineup. Router provides access to models from OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. The platform also includes several routing strategies that let customers direct AI requests based on their preferences. For example, users can set a preference for model providers in flexible usage tiers, or have Router choose a model based on up to three user-specified benchmarks. Users can also route only difficult problems to more expensive models, or test models without switching their default setup.

Router includes a dashboard where users can monitor token spend, cost, latency, fallback attempts, and other usage details. The service has an opt-out data retention policy, meaning it will record model inputs, outputs, and tool calls for one year by default. Ramp says it will remove personally identifiable information before using that stored content to improve the product.

For Ramp, entering the model routing business presents a two-sided opportunity. The company can tap into the growing AI inference market while offering its existing clients a routing service that complements its current products, such as AI token usage monitoring and token spend management. If Router becomes a popular testing ground for AI models, similar to what OpenRouter has become, Ramp may also build long-term relationships with AI labs and inference providers around the world.

Such relationships could help Ramp gain new customers and create an additional entry point for selling its expense management products. Ramp raised $750 million at a $44 billion valuation in June. The company’s expansion into AI infrastructure comes as other financial technology firms, including Stripe, are also moving into the AI inference space, with Stripe reportedly planning to acquire the AI gateway startup OpenRouter for over $7 billion.

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