# Why aiKO? ### 1. Best-in-Class Accuracy Achieve 99% accuracy with aiKO, thanks to continuous refinement through user interactions and expert input. This ensures precise, reliable information tailored to your operational needs, reducing errors and enhancing decision-making efficiency. For example, aiKO's implementation at a leading industrial boiler manufacturer led to a 15% increase in productivity and a 10% reduction in costs by providing precise diagnostic and repair plans, effectively preserving invaluable domain expertise. ### 2. Continuous Self-Improvement aiKO's AI agents learn and adapt with every interaction, improving their precision and relevance over time. The more you use aiKO, the better it becomes at understanding and addressing your unique questions. This ongoing self-improvement is demonstrated by aiKO's success in the semiconductor industry, where it reduced downtime by 10% and accelerated diagnosis times by 4x, ensuring continuously enhanced support capabilities. ### 3. Full Ownership & Independence Break free from vendor lock-in with aiKO. Gain full control of your AI agents, enhancing security and driving customized innovation in your industry. aiKO is based on the OpenSSA open-source project, providing you with 100% ownership and privacy of your AI agents. This approach has allowed our clients to scale their domain expertise effectively, save millions, and open new business opportunities, as evidenced by feedback from satisfied customers. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aitomatic.com/dxa-factory-user-guide/get-started/why-aiko.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.