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

# Introduction

> ORCA is a data intelligence platform that automates data quality analysis, classification, and AI readiness scoring.

## What is ORCA?

ORCA is a data intelligence platform built for teams that need to understand, improve, and assess the quality of their data. Upload any dataset and ORCA automatically:

* **Classifies** every column using AI-powered semantic analysis (200+ categories)
* **Detects** data quality issues: nulls, duplicates, format violations, outliers, GDPR-sensitive fields
* **Scores** AI readiness across 7 dimensions with actionable recommendations
* **Remediates** issues with auto-fix strategies
* **Assesses** datasets with verifiable quality reports

## Key capabilities

| Capability              | Description                                                                                        |
| ----------------------- | -------------------------------------------------------------------------------------------------- |
| Semantic classification | AI classifies columns into 200+ semantic categories (email, revenue, date\_of\_birth, etc.)        |
| Quality analysis        | Detects nulls, duplicates, format violations, outliers, and anomalies per column                   |
| AI readiness scoring    | 7-dimension weighted score (0-100) measuring dataset fitness for ML/AI use cases                   |
| Auto-remediation        | Preview and apply fixes: null imputation, deduplication, format standardization, outlier treatment |
| GDPR compliance         | Automatic PII detection with 3-layer password screening and data masking                           |
| Use-case readiness      | Assess fitness for 8 ML use cases (churn prediction, fraud detection, recommendation, etc.)        |
| Assessment              | Issue verifiable SHA-256 assessment reports for datasets scoring 75+                               |
| PDF reports             | Export AI readiness and GDPR compliance reports                                                    |

## Architecture

ORCA is built on:

* **Backend**: FastAPI + PostgreSQL + Redis + AWS S3
* **AI engine**: Google Gemini for semantic classification
* **Task queue**: ARQ for async processing (file analysis, report generation)
* **Frontend**: React with real-time WebSocket progress updates

## Next steps

<CardGroup cols={2}>
  <Card title="Quick start" icon="rocket" href="/quickstart">
    Upload your first file and see results in minutes
  </Card>

  <Card title="AI readiness" icon="chart-bar" href="/ai-readiness">
    Understand the 7-dimension scoring methodology
  </Card>

  <Card title="API reference" icon="code" href="/api-reference/overview">
    Integrate ORCA into your data pipeline
  </Card>

  <Card title="Security" icon="shield" href="/security">
    Security and compliance details
  </Card>
</CardGroup>