Top 7 Enterprise AI Gateways I Wish I Knew Before I Deployed One

Deploying AI models in production requires more than just API access; it demands a robust infrastructure layer to manage routing, security, and observability. An enterprise AI gateway acts as a centralized control point between applications and model providers, offering features like cost tracking, rate limiting, and fallback mechanisms. This article evaluates seven prominent gateway platforms: OpenRouter for multi-model experimentation, LiteLLM for self-hosted flexibility, Vercel and Cloudflare for ecosystem-specific integration, Portkey for observability-focused operations, Kong for API-centric management, and TrueFoundry for comprehensive AI platform needs. The author emphasizes that selecting the right gateway depends on aligning the tool with existing organizational architecture rather than just feature lists. Key considerations for deployment include provider abstraction, centralized observability, robust security policies, and cost control at scale. Ultimately, choosing the right gateway is a strategic decision that balances operational complexity with the need for reliable, scalable AI infrastructure.