# Product Overview ## What is DaBot? We at DaBot are proud to have developed "Intelligent Ingestion™," the first technology in the industry that automates the process of building and maintaining data pipelines. With just five clicks, our customers can streamline the process of onboarding data from various sources to their systems. Combining the latest advancements in AI and LLMs technology with our extensive data domain knowledge has allowed us to bring intelligence to the process and automate a crucial task for companies. ## Why Use DaBot? As companies deal with more and more internal and external data sources, building and managing data pipelines becomes increasingly challenging. Data teams often resort to building numerous point-to-point solutions and 1000s of data pipelines, which can be difficult and costly to maintain. Any changes to the source or target require significant time and resources to update the existing processes. Additionally, current tools and technology require extensive manual intervention by data workers to onboard new data sources and to maintain the existing data pipelines, which cannot keep up with the exponential data growth. Our solution eliminates the need for point-to-point development, reduces lag in data onboarding, and eliminates the costly data engineering development and maintenance efforts. ## Overview Video {% embed url="" %} --- # 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.dabot.ai/product-overview.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.