GoldenSpear Data Discovery is an AI-powered data lake platform designed for processing structured and unstructured data from multiple sources. **Data Ingestion:** Structured data can be ingested from relational or NoSQL databases, spreadsheets, API endpoints, and structured file formats such as JSON or XML. Data is pre-processed and stored in a data lake with access control enforcement. **Discovery & Exploration:** Once data is ingested, users can perform data discovery, data exploration, data visualization, and custom workflows. The platform applies robotic process automation (RPA), AI, and deep learning to help users identify relevant data for investigations and decision-making. **Security:** The platform provides property-level security, an audit trail, and AI-based alerts triggered by suspicious user activity. **Collaboration:** Users can add comments and annotations to individual data items, which are published in real time to all connected users. The platform also supports collaboration via sharing of documents, entities, and cases. **Visualization & Analysis:** Graph visualization and link analysis tools are available to help users understand data and expose hidden relationships. **Customization:** The platform can be extended via APIs, workflow automation, and custom AI models. Custom dashboards update automatically as new data is processed, and custom reports can be created using templates without coding. **Search:** Multi-lingual full-text search is supported across the data lake.