Knowledge graph in a Box

A knowledge management system serves as a middleware between your information base and your business goals. This technology is made to be your reliable partner in enhancing your organizational performance, offering end-to-end solutions in collating, managing, and processing the information your organization has collected over the years.

Increase your ability to store and collect information. Digitizing hard documents allows for more volumes of information to be processed and stored. This will help to create and collate a more comprehensive data bank.

Instantly accessible “machine memories”, greatly reducing the time it takes to create links between the past, present and future information.

Designed to be scalable, flexible, and performs well with various datalakes, ensuring no memories left behind as long as they’re accessible in the system.


At the core of every knowledge graph engine is a system that can translate human-readable documents into computer-readable texts for further processing. As such, the foundation of our pipeline is a system that can read documents and feed it to our engine for further computational processing.

Libris is a configurable system designed to take as many inputs as possible from printed documents, regardless of format and layout, to be transformed into machine-readable texts that can be reviewed both by human and machine evaluators for consistency and accuracy.


At the heart of our knowledge management system is a knowledge database that can collect, compile, and collate information in a meaningful structure that machines can process effectively, and humans can understand intuitively. This knowledge structure was built on top of semantic understanding, to allow the information to be structured contextually. This approach would be our primary differentiator from our competitors. Where most systems relied on statistical features of texts, our system relied on human-verified language model that was built specifically to understand the rich nuances of a language.


Performing as a platform to showcase the information contained within our knowledge base, the module was designed to be simple, lightweight, and resource efficient. It is highly flexible and configurable in displaying text and pictures, with extensions available for other formats.

FactFerence allows users to quickly edit and revise the information contained within our knowledge base and serve it in user-friendly formats.


MapFerence is a geographic information system designed to be easily enriched by data visualization that were tailored to every user requirement. Whether it is a geographic exploration dashboard or a risk analysis dashboard, the visualization system can render the information with high clarity to suit user needs. There is little need to create system queries, as the dashboard is self-contained, and designed to minimize extraneous user involvement.


Serving as an expansion for data acquisition, Gigmonitor is a module tailored to track evolving issues published in online media. It extracts the texts contained in an article, to be delivered to our information extraction pipeline for further processing. Our base deployment of GigMonitor is capable of crawling and scraping public articles, with additional services for paywalled articles available.


Serving as an expansion for data acquisition, Gignetmonitor is a module tailored to track evolving issues published in social media across social networks. It extracts the texts contained in publicly available social media accounts. Due to information restrictions and privacy options in social media platforms, we cannot provide access to private accounts and their networks.