Enterprise AI gateway and control plane for routing, governance, and cost control
Provide a unified layer through which an organization manages models, agents, MCP servers, tools, and related AI traffic. The gateway routes requests to the most suitable provider, applies access and spending controls, caches requests, exposes observability data, and helps enterprises manage the total cost and risk of their AI fleet.
From IBM Technology — Stripe buys OpenRouter, Ramp’s AI Index & IBM’s OpenAI deal at 11:55
Problem: AI usage consists of unpredictable, high-volume token consumption from employees, developers, agents, terminals, and event streams. Organizations often lack visibility into where AI is deployed, how much it costs, which models are being used, and whether usage complies with security, regulatory, budget, and return-on-investment requirements.
For: Enterprises operating multiple AI models, agents, MCP servers, and automated workloads that need predictable spending, governance, security, observability, and provider flexibility.
Examples
- OpenRouter: was described as a unified platform providing access to a large variety of models from different vendors, with semantic caching and routing capabilities.
Behind this: 12 build steps · 6 tools and how each is used · how to validate demand · 4 more real examples · 5 things the video never answers.