Skip to main content
PRODUCTS

Monolith

What is Monolith?

Monolith is the Semantic Enterprise Knowledge Graph Platform.

What can it do?

Monolith provides a full-fledged OBDM and Knowledge Graph environment.

How does it work?

Monolith exploits the Mastro reasoner to allow semantic data access, build and query knowledge graphs, and design ontologies and mappings.

Main features

A simple, no-code graph-based ontology design environment with full OWL 2 interoperability, to bootstrap any ontology model in minutes.

Wiki-like or graphical ontology browsing and navigation through a customizable user interface, allowing to choose the preferred ontology rendering, and interactive visualizations to highlight the relationships between entities.

SQL-based ontology-to-database mapping designer, featuring a fully graphical intuitive interface which models the ontology entities and the mappings to their source tables in the database.

Data lineage highlighting to allow tracking the flow of data from the data sources through the ontology entities, providing a clear understanding of where the data in the query results comes from.

Virtual Knowledge Graph creation, interactive exploration, and querying capabilities, which transform table data into user-friendly and intuitive graph models, providing visual insights and empowering business analysts.

Self-service business intelligence through a no-code, guided graphical interface for building ontology queryies, and fully interactive dashboards with cross-filters among charts and graphs.

Ideal for

Healthcare & Life Sciences

Healthcare & Life Sciences:

  • New insights on R&D data to accelerate discovery
  • Decision support systems
  • Defining predictive models of infectious diseases

Manufacturing & Automotive

Manufacturing & Automotive:

  • View links and dependencies in the supply network
  • Facilitate range analysis of market products

Finance & Banking

Finance & Banking:

  • Standardization of processes and procedures
  • Representation of transactions, accounts, exposures and related risks at the enterprise level
  • Fraud detection

Energy & Utilities

Energy & Utilities:

  • Modeling, integration and linking of customer, network, and service data within a graph
  • Identifying causes of service interruptions and establishing intervention priorities