Ramp launches its own AI model router, called Router
Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via an API.
Ramp, the corporate expense management platform, has unveiled its own AI model routing service called Router. The service enables users and businesses to access and switch between various large language models via an API. Ramp has been utilizing the Router for its own AI requirements over the past three years. Currently, Router is exclusively accessible in the United States and is provided free of charge until the end of 2026, with users still needing to pay for AI model inference costs. The company has not disclosed the pricing for the service in the following year.
Functionally, Router operates similarly to OpenRouter, although the latter offers a more extensive selection of AI models. Router grants access to models from OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. Additionally, it provides several "strategies" to assist customers in routing AI requests to models based on their preferences.
For instance, one strategy enables users to prioritize model providers with flex usage tiers, while another lets Router select the appropriate model to route queries to based on up to three user-defined benchmarks. Users can also decide to allocate only challenging problems to more expensive models or trial models without having to switch.
Router includes a dashboard that allows users to monitor token usage, costs, latency, fallback attempts, and other metrics. A key feature of Router is its opt-out data retention policy. By default, the service records model inputs, outputs, and tool calls for one year. However, the company assures that it will eliminate any "personally identifiable information" before utilizing that content to enhance the product.
For Ramp, entering the model routing market presents two significant opportunities: tapping into the rapidly expanding AI inference market and offering its existing clients a model routing service that complements its existing products, such as AI token usage monitoring and token spend management. Moreover, if Router proves to be as appealing as an AI model testing platform as OpenRouter has been, Ramp may also establish lasting relationships with AI labs and inference providers globally.
This could help Ramp, which raised $750 million at a $44 billion valuation in June, acquire new customers and establish a new entry point for selling its expense management products.
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