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From seamlessly integrating and importing data to unlocking AI-driven predictions, discover how Galileo.XAI revolutionizes your data insights like never before.


Galileo.XAI connects with your informational assets, offering you advanced import, integration, modeling, cleaning, and quality features for structured and unstructured data.

Galileo.XAI acquires data from various sources such as relational databases, CSV, JSON and XML files, APIs, logs, sensors, social media, etc., in order to create a comprehensive and up-to-date view of the available data.

Galileo.XAI facilitates efficient data transfer between different components of the system, ensuring data integrity and security.

Galileo.XAI has built-in connectors for popular relational data sources.

Galileo.XAI supports data extraction in XLS and PNG formats (for graph investigations).

Galileo.XAI allows importing and exporting data in different formats to facilitate data exchange with other applications or systems.

Galileo.XAI supports the integration of data from multiple sources, allowing analysis and correlation of heterogeneous data.

By adding role-based access control (RBAC), Galileo.XAI ensures that all users have appropriate levels of access to the collected data and information. It creates multiple perspectives on the same data to meet the specific needs of different business user groups and restrict access that individuals with limited rights can have.


Galileo.XAI enables you to uncover new insights within your data through specific features for pattern identification, graph investigation, search, and discovery.

The free search feature with autocomplete allows you to manage billions of nodes and find the information you need when you need it.

Filters are provided to narrow down the data based on specific criteria, allowing you to focus your analysis only on relevant data.

Analyze data in its geographical location on a map. Geospatial analysis provides intuitive insights that cannot be acquired without spatial context.

Galileo.XAI supports the discovery of paths or connections between different data entities, helping to identify hidden relationships and patterns.

Galileo.XAI can apply clustering algorithms to group similar data together, providing a clearer perspective on hidden structures in the data.

Share your results and discoveries with colleagues by taking a snapshot of your analysis that your team can always refer back to.

Most networks are dynamic and change over time. Galileo.XAI helps you analyze and visualize your data from a temporal perspective using a dynamic widget.

Ensure that the story told by your data is perfect by using a wide range of styling options such as icons, colors, sizes, heatmaps, and other visual elements.


Galileo.XAI enables the understanding of graph structures and network dynamics by highlighting nodes or clusters through the definition of indices, rules, alerts, and generating dashboards to keep everything monitored.

Galileo.XAI facilitates collaboration among users, allowing them to share and work on data in a synchronized manner.

Galileo.XAI supports the analysis of data with multiple variables, enabling the identification of complex relationships among the data.

Automates workflows and data pipelines by executing recurring tasks periodically.

The platform provides reporting and statistics functionality to present analysis results clearly and concisely.

Define custom queries based on business rules to monitor crucial patterns in your data in real-time.

Administrators have full control over database indexes and constraints.

Configure the lifecycle of alerts on your data, including how they are processed, escalated, triggered, and dismissed. Receive notifications when significant events are detected in your data.

Galileo.XAI offers a fully customizable data visualization interface to keep track of analysis results.


Galileo.XAI leverages Graph-Al algorithms to acquire knowledge directly from graph configurations, enabling the discovery of novel perspectives and resolution of pressing business dilemmas.

Galileo.XAI includes a library of predefined and configurable network science algorithms that can be executed in a no-code/low-code mode, allowing the application of advanced analytical models to the data.

Galileo.XAI supports training machine learning models on available data to create custom predictive models.

Galileo.XAI enables predictive analytics by applying statistical models and machine learning algorithms to make predictions or generate insights from data.

Galileo.XAI allows the extraction of subgraphs from the dataset to perform targeted and more effective analysis using graph data science algorithms.


Galileo.XAI utilizes the potential of graphs to provide contextual understanding of your outcomes, mitigating the opaque nature of algorithms. Enhance trust in AI algorithms by incorporating explainability into the process.

Galileo.XAI provides predefined or customizable performance metrics to evaluate and monitor the performance of data and models. These metrics help assess the accuracy and effectiveness of the analyses and predictions.

Galileo.XAI offers visualizations to enhance the transparency of classification models. Users can visualize decision boundaries, feature importance rankings, and other relevant information, making it easier to understand and communicate the model’s behavior.

Galileo.XAI incorporates various explainability techniques to shed light on the inner workings of classification models. This includes generating explanations for individual predictions, identifying important features and their impact on the classification outcome, and visualizing decision boundaries.


A graph data platform excels in managing and visualizing complex data relationships. It enables faster and more efficient queries, uncovers deeper insights, and provides superior performance for interconnected data. It helps combat information silos by seamlessly integrating diverse data sources, making it ideal for many solution areas.

The duration of the onboarding process varies based on your data’s nature. If you already have a graph database, connecting it to our platform is quick and straightforward. For importing data from an RDBMS, our dedicated procedure ensures a swift setup.

Reach out to us to discuss your starting point, and we’ll be happy to provide an estimate with no obligation.

Galileo.XAI can be hosted on-premise, in a private cloud, or on a public cloud. If you have specific hosting requirements, please contact us to discuss alternative options.

Yes, basic support is included within the subscription and will be provided through mail or ticketing system. Covered support will be provided by the appointed support contacts and includes patches and bug fixing, updates, technical Q&A.


Yes, definitely. Galileo.XAI is ready to use and includes many features designed for specific business needs across various solution areas. It’s built on a microservices model, providing maximum flexibility to accommodate specific requirements.

Yes, Galileo.XAI is designed to be highly integrable with existing tools used by our clients. Our platform supports various integration options, allowing seamless connections with data analytics systems, BI tools, and other critical applications for business operations. This approach enables our clients to maximize the value of their existing data, improving efficiency and consistency in data-driven decision-making through Galileo.XAI.