What is GraphAware?

GraphAware introduces Hume, a cutting-edge platform designed for data analytics and intelligence evaluation, which utilizes graph technology to transform disparate structured and unstructured data into an integrated web, thereby improving insight and decision-making processes. At the heart of Hume’s capabilities are knowledge graphs and graph databases, which enable the smooth ingestion, unification, and visualization of data as interconnected networks of nodes and their relationships, allowing analysts and data scientists to investigate, query, and reveal intricate connections and hidden trends without needing to learn complex query languages. This platform offers a comprehensive view of truth derived from multiple data sources, accelerates the discovery of nuanced relationships and behavioral trends, and supports advanced graph data science methods like node influence analysis, link prediction, community detection, and automated alerts, all enhanced by incorporated machine learning and features from extensive language models. By simplifying the access and examination of varied data sets, Hume not only boosts the efficiency of data exploration but also creates new possibilities for informed strategic decision-making. As a result, organizations can leverage Hume to gain a competitive edge in their analytical pursuits.

Integrations

No integrations listed.

Screenshots and Video

GraphAware Screenshot 1

Company Facts

Company Name:
GraphAware
Date Founded:
2013
Company Location:
United Kingdom
Company Website:
graphaware.com

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

GraphAware Categories and Features

Data Analysis Software

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics