AXYS is engineered to dramatically reduce the cost and complexity of AI and LLM usage in your organization. By leveraging advanced retrieval augmented generation (RAG) workflows and intelligent data orchestration, AXYS delivers only the most relevant and concise information to AI models. This targeted approach achieves up to 98.8 percent reduction in token usage, significantly lowering OpenAI and LLM operational costs while improving performance. AXYS automates the process of preparing, filtering, and structuring your data before sending it to AI, ensuring efficient, cost-effective queries and faster results—without sacrificing data accuracy or security.

AXYS is built with its own proprietary Retrieval Augmented Generation (RAG) technology, designed from the ground up to dramatically reduce token usage and operational costs with OpenAI and other large language models (LLMs). By intelligently filtering and delivering only the most relevant, context-rich data to each AI query, AXYS minimizes token consumption—often resulting in up to 98.8 percent cost savings. The platform also offers real-time token usage tracking and optimization tools, giving you complete visibility and control as your AI adoption grows. This advanced approach makes AXYS one of the most efficient and cost-effective solutions for managing AI and LLM costs.