# Getting Started Telmai is a data quality analysis and monitoring platform that helps data teams proactively understand, detect, and resolve data quality issues without writing code, SQL, or rules. It uses powerful statistical analysis and machine learning for this. Our business user-friendly UI helps users define correct vs. incorrect data and then use these definitions to proactively monitor data and alert when deviations from the normal are detected. This user guide will enable you to easily integrate with Telmai to investigate data quality issues, translate them into your definitions of correctness, and then set up monitoring and alerting. Telmai can run as a public SaaS as well as be deployed in the customer’s VPC (supported for AWS, GCP, and Azure) --- # 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.telm.ai/telmai/readme.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.