ZenMux

• Single API key compatible with OpenAI-style endpoints
• Unified wallet/billing to access multiple model providers through one account
• Intelligent routing of requests across multiple LLM vendors to optimize cost, latency and quality
• Automatic fallback to alternate providers for reliability and high availability
• Built-in “insurance” mechanism covering poor-quality or hallucinated outputs
• Detailed usage logging, cost tracking and analytics dashboards
• Model benchmarking and provider performance comparison in one platform
• Global infrastructure with edge nodes to deliver low latency worldwide
• Support for both OpenAI-compatible and Anthropic-compatible API protocols
• Developer-friendly onboarding: sign up, top up credits, integrate via one endpoint

ZenMux is a next-generation infrastructure layer that enables organisations to consume large language models (LLMs) in production without being locked into a single vendor. Rather than integrating each model provider separately, developers obtain one universal API key through ZenMux and gain access to a curated selection of leading models from multiple providers. The platform handles routing, vendor selection, fallback, billing and monitoring behind the scenes, allowing engineering teams to focus on building features instead of managing multiple APIs.

A key differentiator of ZenMux is its built-in quality assurance and insurance capability. Enterprise users often fear that an LLM will hallucinate or deliver a degraded result; ZenMux mitigates that risk by automatically routing around poor-performing models, monitoring output quality and covering the cost of unsatisfactory responses under its insurance model. Meanwhile, global edge nodes reduce latency for users worldwide, and analytics dashboards give visibility into cost, model performance, route decisions and usage patterns.

For organisations building AI-powered applications—whether for chatbots, code assistants, content workflows or research tools—ZenMux provides a centralized, cost-efficient, scalable layer that simplifies multi-model strategy. Its dual-protocol support means teams using OpenAI-style APIs or Anthropic-style APIs can integrate with minimal changes. With features built for enterprise reliability, cost control and performance optimisation, ZenMux allows teams to scale their AI deployments with confidence and flexibility.