> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gp.scale.com/llms.txt
> Use this file to discover all available pages before exploring further.

# SGP Capabilities Overview

SGP provides a comprehensive suite of capabilities for building, deploying, and managing AI applications at scale. Our platform combines powerful tools for development, evaluation, and production deployment.

### 📄 Document Understanding

Advanced document processing and information extraction capabilities. [Learn more about Document Understanding →](/docs/capabilities/document-understanding/introduction-to-dex)

**Key Features:**

* **Universal Format Support**: PDFs, images, spreadsheets, presentations
* **Intelligent Parsing**: Convert documents to structured JSON
* **Custom Extraction**: Define schemas for specific data needs
* **High Accuracy OCR**: Advanced text recognition and extraction
* **Project Management**: Secure, isolated document processing

### ⚙️ Workflows

No-code/low-code durable workflow orchestration platform that enables enterprise operators to import data, transform it, call LLMs or Agents, analyze or evaluate the output, and automate the entire workflow. [Learn more about Workflows →](/docs/capabilities/workflows/introduction-to-workflows)

**Key Features:**

* **Importing data**: Read data from various sources like agent traces, CSVs, blob storages, or queryable data sources.
* **Transforming data**: Transform your data using custom `Python` code or simple functions. Extract structured data from PDFs & documents.
* **Call LLMs or Agents**: Generate output and traces against input from each row of your dataset using LLMs or `Agentex` agents.
* **Evaluate data**: Evaluate your outputs using `LLM as Judge` and access the evaluation anytime on SGP.
* **Visualize data**: Generate visualizations like charts & build custom dashboards.
* **Export the data**: Export the data as a CSV or SGP dataset or SGP Evaluation.
* **Automate & monitor**: Schedule the workflow to run periodically. Execute a workflow via an API call. Monitor logs & get alerts.

### Training

Train custom models on your own data without managing cloud infrastructure. Submit training jobs through a single API and Train handles the rest, whether your workload runs on GCP, AWS, or Azure. [Learn more about Training](/docs/capabilities/training/introduction-to-train)

**Key Features:**

* **Any cloud backend**: Run jobs on Vertex AI, SageMaker, or Azure ML with a single API
* **Bring your own image**: Push a Docker image once and reference it in any job
* **Portable data access**: Mount GCS, S3, or Azure Blob Storage into your container using consistent environment variables
* **Simple job lifecycle**: Track progress from submission to completion with a consistent status model across all backends