# Welcome to Ensemble! With Ensemble, you can easily address your data quality problems with just a few lines of code, augmenting your current ML solution sets. Harness the power of [Dark Matter](/ensemble-ai-api-docs/dark-matter.md), a new machine learning algorithm, and derive net-new statistical features/insights from your data that offer additive performance to your current feature engineering/data labeling/synthetic data approaches. Ensemble is particularly useful in problem settings where data is difficult to model, sparse, or simply not enough. If you don't have an account yet, [sign up](https://app.ensemblecore.ai/) through our web portal! ## What's Next? * Get started with Ensemble and harness Dark Matter and our suite of pipeline tools by following our [Getting Started](/ensemble-ai-api-docs/getting-started.md) guide. * Learn more about [Dark Matter](/ensemble-ai-api-docs/references/dark-matter.md). --- # 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://ensemble-ai.gitbook.io/ensemble-ai-api-docs/welcome-to-ensemble.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.