Edgee AI is an edge native AI gateway that helps developers manage, optimize, and control interactions with large language models. Instead of sending prompts directly to providers, applications send requests to Edgee, which processes and optimizes them before forwarding them to the chosen AI model. The platform uses semantic token compression to remove redundant tokens from prompts while preserving intent and context. This optimization can reduce input token usage by up to fifty percent, significantly lowering the cost of running AI applications. Edgee supports multiple AI providers through a single API, including OpenAI, Anthropic, Google Gemini, and other models. The platform also provides cost monitoring, observability tools, and request tagging to track usage across teams or projects. Developers gain real time visibility into AI spending and performance metrics. The gateway can automatically route requests to the most suitable model based on cost, latency, or reliability. Edgee also supports running tools and small models at the edge for faster preprocessing. This architecture helps organizations scale AI applications while maintaining control over costs and infrastructure.

Key Features

• AI gateway that sits between applications and LLM providers
• Semantic token compression that reduces prompt size and cost
• Unified API for multiple AI providers and models
• Real time observability for token usage latency and spending
• Intelligent routing and failover across AI providers
• Edge native infrastructure with global points of presence

Industries

• Technology and Software Development
• AI Infrastructure and Platforms
• SaaS and Startup Companies
• Data and AI Engineering