Knowledge modelling made simple

Information analysis and knowledge production system, delivered to your desk interactively, ensuring efficient knowledge production pipeline for any organizations regardless of scale and complexity. Seamless system performance enhanced the capacity of your analysts and ensuring that no knowledge is left behind in their analytic pipeline

Insight AI was designed to automate knowledge discovery by learning the relationships between facts that it had found. It was not designed to replace the users, but instead to help and work together with them, by continuously learning new facts from the data and reasoning the relationships between them, while continuously asking its user for feedback. This way, Insight AI does not wildly learn things out of context and proportion, but instead becomes a trusty partner that was uniquely molded for its users.

Insight App

Insight AI was designed to automate knowledge discovery by learning the relationships between facts that it had found. It was not designed to replace the users, but instead to help and work together with them, by continuously learning new facts from the data and reasoning the relationships between them, while continuously asking its user for feedback. This way, Insight AI does not wildly learn things out of context and proportion, but instead becomes a trusty partner that was uniquely molded for its users.

RiskMapper

There is no better way to implement a knowledge modelling module than by creating an evaluative system to figure out the relative risks of a topic. By allowing analysts to map multidimensional risks, our system created a pipeline that simplified the workflow of evaluating the risks that events and issues can contribute to.

Providence

There is no better way to implement a knowledge modelling module than by creating an evaluative system to figure out the relative risks of a topic. By allowing analysts to map multidimensional risks, our system created a pipeline that simplified the workflow of evaluating the risks that events and issues can contribute to.

EventMap

With a diverse information in the knowledge base about events, facts, and their relationships, it would be troublesome should analysts have to traverse the complexity of the graph environment to understand about events contained within.

Precendence

Given an event, this system seeks to make the most efficient representation of the facts and relationships contained in the event. Combining all the most relevant information from various sources related to the event, this module then constructs the most efficient graph that fits the analyst’s parameters.

InfoMap

Providing additional information on demand, the module was designed to ingest and integrate information contained in structured data formats to enrich the facts that analysts queried. This module is a customizable, lightweight microservice that allowed for data enrichment in-time to analyst’s requests.

Insight AI is designed to facilitate knowledge discovery by learning the relationships between facts that it has found to help and work together with the users.

Benefits of Insight AI:

Augment and support your analysts in creating better, more accurate prediction models.

The automation and learning capability of Insight will be a valuable partner for your analysts, increasing the rate in which analysts will be able to work with prediction models. Automate the ability to constantly learn and parse new knowledge, uncovering hidden links and relations to your team.

 This process is always optimized through the user-feedback system that is built into the AI. Insight AI allows users to invest time in evaluating and validating hypotheses and test scenarios, rather than spending time and effort in developing models.

This will allow users to not just keep up with the rapid inflow of information, but stay ahead of the curve in terms of prediction model and threat assessments