• cogtl
    Manage complex knowledge in real time with CogTL
    By taking advantage of the power of Knowledge Graphs to represent your data, CogTL effectively clears all silos, allowing you to enforce any kind of business logic and probabilistic scenarios, always up-to-date by inferring all consequences whenever your data changes.

Our flagship knowledge management engine is designed to master risks and opportunities in a complex and continuously evolving system.

• Discover your strengths and weaknesses in the present
• Immediately react to every change of your risk posture or on every new opportunity
• Anticipate the future with its powerful simulation features

Efficiency is key

In every business activity as in our everyday lives, we have become used to quick results and immediate access to the information. Therefore, we developed our CogTL engine with performance in mind. Our customers are expecting fast results, high agility and a short time-to-market.
Continuous monitoring of knowledge
CogTL will continuously monitor your sources of data, to refine or adapt its knowledge graph. No more need to setup and orchestrate extractions, CogTL takes the data as soon as it is available.
Immediate impact calculation
As soon as the knowledge changes, CogTL re-evaluates the required rules and analysis to adapt to the new situation, in a dynamic pipeline of causes and consequences. Therefore, you always get an up-to-date oversight, and you are alerted as soon as possible whenever the original changes lead to a non-compliant situation.
Visual flexibility
You may not be a developer; therefore, CogTL Admin interface is designed to help you designing of rules as intuitively as possible, with a really user-friendly web interface. By limiting the needs of requiring IT staff to code, script or configure complex things, the business can be autonomous in the configuration and rules, risk profiles, or just to explore knowledge.

Big Data

To be able to handle millions of interconnected knowledge elements, CogTL is based on big data technologies for storage, calculation and resilience.

Artificial Intelligence

At the core of our CogTL engine lies a powerful graph inference engine, which behaves like an expert system on steroids: always up-to-date and with a permanent truth maintenance. Unlike some other AI engines, every outcome is explainable, so that you can react transparently with all elements in hand.

Event based

To keep knowledge up-to-date and immediately recompute the required calculations, our core system is completely event-based, which means that you can intercept every event to automatically raise alerts, archive changes, or invoke other systems.

Fuzzy logic

The reality is not always binary: CogTL only deals with fuzzy logic. In CogTL, every piece of knowledge, or every event happens with a certain probability, which makes it the ideal system for risk management.

Modular

If required, the modular architecture of CogTL allows you to deploy remote agents to gather knowledge, and custom modules to interact with third-party systems.

Cloud or on-premises

No need for expensive hardware: CogTL can be deployed in the cloud for heavy calculations. For companies with high confidentiality requirements, CogTL can also be deployed on premises as a set of Docker containers, orchestrable by Kubernetes.

CogTL knowledge management pipeline

Acquire knowledge

With its multiple technical connectors, CogTL reads and monitor changes on your databases, directories, reference files or request your systems APIs. Every “record” is then transformed in a small semantic graph representing the pertinent data. Those small semantic graphs are compared and merged with the core knowledge graph, by adding or removing nodes and edges, and applying logical constraints. Therefore, the core knowledge graph always contains an up-to-date and semantically correct representation of your knowledge.

Apply business intelligence

Now’s the time for our graph inference engine to enter into action: every change is evaluated in terms of impact, and the pertinent rules are re-evaluated and may result in new changes, themselves triggering new evaluations in cascade. This step is also the perfect place for CogTL to trigger other operations: send alerts, notifications, or call other external IT systems.

Imagine the future

Now that it has updated its knowledge and reacted to the latest changes, our CogTL engine has some free time to think about the future: our imagination engine will now project potential scenarios and combine them, in order to calculate their relative probability of occurrence.

Discover the power or CogTL
Lost or tired about our long explanations ? The best is to have a live discussion and see our products in action.

CogTL and PeopleRisk support and rely on all modern technologies