GraphXR

GraphXR is a browser-based, immersive data visualization and analytics platform developed by Kineviz. It enables users to explore, analyze, and collaborate on complex, high-dimensional, and connected data in real time. Designed for investigative, business intelligence, and scientific applications, GraphXR combines graph analytics, geospatial mapping, and time series visualization to uncover hidden patterns and relationships across diverse datasets.

Features

• Intuitive Visual Analytics: Rapidly visualize data from graph databases, relational databases, CSV, JSON, and third-party APIs.
• Graph Algorithms: Includes centrality, pathfinding, and community detection to reveal structural insights.
• Geospatial and Temporal Views: Supports mapping and time series analysis for dynamic data exploration.
• Custom Styling and Layouts: Fine-tune graphs with icons, colors, and portrait images for clarity and impact.
• Secure Collaboration: Share projects with controlled access across teams and stakeholders.
• VR Support: Beta support for immersive exploration using Oculus Rift, HTC Vive, and Windows Mixed Reality via WebXR.

Capabilities

• Data Fusion and Transformation: Merge and reshape data from multiple sources including Neo4j, SQL, ElasticSearch, BigQuery, RedisGraph, and ArangoDB.
• Document Analysis and Explainable AI: Link AI-generated insights to source documents for transparency and context.
• OSINT and Closed Dataset Search: Streamline investigations with access to open-source and proprietary datasets.
• Investigation Management: Organize and manage investigative workflows using functional link charting.
• Enterprise Deployment: Deploy GraphXR on-premises, in private cloud, or air-gapped environments for full data control.

Benefits

• Accelerated Insight Discovery: Quickly uncover relationships and anomalies in complex datasets.
• Flexible Integration: Connects with a wide range of data formats and systems.
• Scalable Infrastructure: Supports enterprise-wide deployment with robust performance and security.
• User-Centric Design: Built by investigators for investigators, ensuring practical usability.
• Enhanced Collaboration: Enables secure, real-time teamwork across departments and organizations.