Kento is an AI semantic caching platform that reduces AI usage costs by up to 40% by identifying and storing repeated user queries. It sits between applications and AI models, serving cached responses instantly for duplicate or semantically similar prompts. This eliminates paying full rates for repeated questions, improving response speed and reducing API expenses. The system includes a dashboard that tracks prompts, spending, and savings, helping developers understand usage patterns. Integration requires only a single line of code, and it supports all major LLM providers with free and paid plans for scalable optimization.