GraphPolaris is a no-code analytics platform that enables users to perform graph analysis on complex datasets through an intuitive drag-and-drop interface, eliminating the need for query scripting. It provides actionable insights for industries such as healthcare and security by facilitating multi-criteria decision-making, situational awareness, and root-cause analysis.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Analyzing complex datasets to extract actionable insights often requires specialized skills in query scripting and data science, creating a barrier for users without technical expertise. Traditional analytics platforms can be difficult to navigate and lack intuitive interfaces for exploring interconnected data relationships.
Solution
GraphPolaris is a no-code graph analytics platform that empowers users to easily explore data and identify valuable insights through an intuitive drag-and-drop interface. The platform transforms graph database knowledge into actionable intelligence, enabling users to analyze network graphs without requiring data science expertise. GraphPolaris facilitates multi-criteria decision-making, situational awareness, entity resolution, path analysis, root-cause analysis, and geo analysis, providing comprehensive solutions tailored for various industries. The SaaS platform enhances business performance by connecting data points and revealing hidden patterns through interactive visualizations.
Target Audience
GraphPolaris targets professionals in healthcare, security and intelligence, asset performance management, and supply chain management who need to analyze complex datasets and extract actionable insights without requiring specialized technical skills.
Features
- No-code interface for performing graph analysis without scripting
- Supports Neo4j and opencypher-powered graph databases
- FaBrick module for data integration
- ModelBuilder module for data modeling
- QueryCoach module for initial data inspection and relationship discovery
- Augmentor module for data augmentation using machine learning
- InSight module for visualizing and sharing insights
- Multi-criteria decision-making capabilities for fast and accurate decisions
- Situational awareness features for comprehensive factor consideration
- Entity resolution tools for investigating attributes and identifying trends
- Path analysis functionality for identifying anomalies
- Root-cause analysis capabilities for identifying issue origins
- Geo analysis features for exploring geospatial data trends