AI Gateway

The Model Context Protocol (MCP) is rapidly becoming the standard for connecting AI models to external tools, data sources, and APIs. As enterprises adopt agentic AI architectures, having an AI gateway that natively supports MCP tool calling isn't optional, it's foundational. Many teams are discovering that

Healthcare organizations are deploying LLM-powered applications across clinical documentation, diagnostic support, patient engagement, prior authorization, and administrative automation. With 46% of U.S. healthcare organizations now implementing generative AI technologies, the challenge has shifted from experimentation to production-grade deployment — where HIPAA compliance, patient data protection, and operational reliability

TL;DR: Enterprise AI gateways are the control plane for every LLM call your team makes. They enforce security policies, manage costs, ensure reliability, and give you full observability over AI usage across your organization. This article compares the top 5 platforms: Bifrost, Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM,

TL;DR: As enterprises scale LLM deployments, AI gateways have evolved from simple proxy layers into full observability infrastructure. This article covers what to look for in an enterprise AI gateway, how observability fits into the picture, and why Bifrost by Maxim AI stands out as a purpose-built option

TL;DR: LLM provider failures are not edge cases. They are a regular part of running AI in production. Retries, fallbacks, and circuit breakers each solve different failure modes, and combining them intelligently using an AI gateway like Bifrost is the most reliable path to consistent uptime for AI-powered

TL;DR: LLM costs are ballooning as AI usage scales. AI gateways are the fastest way to cut spend, without changing your application logic. This article breaks down the top 5 gateways in 2026, Bifrost, Cloudflare, Vercel, LiteLLM, and Kong AI, so you can pick the right one for your