Edgee is an edge-native AI gateway that unifies access to 200+ OpenAI-compatible models and compresses tokens to reduce inference costs.
Edgee is an edge-native AI gateway designed to simplify and optimize access to large language models across diverse environments. It provides a single, OpenAI-compatible API that connects to more than 200 models, enabling teams to integrate and switch between providers without changing their application code. Its primary purpose is to reduce latency, bandwidth usage, and cost while maintaining flexibility and performance for AI workloads at the edge or in distributed systems.
Key capabilities include token compression to reduce prompt size and network overhead, resulting in up to 50% cost reduction for inference. Edgee supports routing, fallback, and model selection across multiple providers, giving developers resilience and control over quality and pricing. The platform is built for deployment at the edge, in on-premises environments, or across hybrid clouds, helping organizations keep data closer to where it is generated while still leveraging advanced models. It also exposes observability features and usage analytics so teams can monitor performance, costs, and model behavior centrally.
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