Yes, AXYS automatically caches responses to common and repeated questions. This means that when the same or similar queries are asked again, the system delivers instant answers from the cache instead of running a new AI computation—dramatically reducing compute and token costs. This caching feature helps maximize efficiency and keeps your operational expenses low, especially for high-frequency or recurring queries.

With AXYS, the average complex query across all your structured or unstructured data uses just 3,000 to 4,000 tokens, thanks to our highly efficient design. This translates to a typical cost of about $0.02 to $0.03 per question when using OpenAI or similar large language models. For comparison, the industry average for similar queries is often close to 100,000 tokens, which means AXYS offers dramatic savings. After a response is cached, the cost for repeating the same question can drop to nearly zero, making AXYS exceptionally cost-effective for both new and recurring queries.