> For the complete documentation index, see [llms.txt](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/welcome-to-ensemble.md).

# 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).