Ramp Launches Its Own AI Model Router, Called Router

On August 20, corporate spend-management platform Ramp launched Router, its own AI model routing service that lets users and companies call and switch between various large language models through a single API.

Router follows the playbook of the emerging model-gateway category: instead of integrating each LLM separately, enterprises get one interface to invoke multiple models and move workloads between them as needs change.

For Ramp, the launch is more than a feature add-on — a company best known for corporate finance software is turning AI infrastructure into a standalone developer-facing product.

The value of a model router lies in balancing cost and quality: teams can route simpler tasks to cheaper models, reserve the most capable models for hard problems, and migrate quickly if a provider stumbles.

Model routing is not a new category — products like OpenRouter have long served developers — but Ramp's entry signals that the market is moving from a developer tool into an incremental business that enterprise software companies want to own.

Combined with Ramp's existing customer base, Router could extend the company's spend-management story to model usage itself, letting finance teams track and control AI costs alongside other corporate spending.

What to watch next: Router's pricing, the range of models it supports, and whether it marks the beginning of Ramp's broader push into AI infrastructure services.