Ramp has launched Router, an API service for sending requests to different large language models and switching between them without rebuilding an application around each provider. The practical pitch is that companies can choose models by cost, speed, availability, or task fit from one integration.
Model routing has become a real infrastructure problem as teams use several frontier and open models at once. A router can help developers test alternatives, shift traffic when a service is slow, or send simpler tasks to cheaper models while reserving stronger systems for harder work.
The launch also shows how AI adoption is moving beyond chat interfaces into operations software. For customers, the important limitation is that routing does not remove the need to evaluate model behavior, data handling, and reliability for each use case. It changes where that evaluation is managed.