Next-gen Systemic Monitoring and Diagnosis Technology
We provide our computational engine OntoNet™ that can be integrated into any SW platform or IT infrastructure such as SCADA, as well as in hardware, such as FPGAs.
Our team will assist with the integration of OntoNet™ into MS-Windows or Linux environments of customer’s choice.
The following versions of OntoNet™ are available:
Scalar version. This is OntoNet™ running the standard QCM algorithm and is available on MS Windows and Linux platforms. This version is ideal for solving small to medium-size problems.
Multi-core version. This version of OntoNet™ runs the standard QCM algorithm and is available exclusively on Linux multi-core architectures. Ideal for mid-size to large problem. This version has a parallel version of its computational kernel.
Advanced multi-core version. This version of OntoNet™ runs the QCM2 algorithm, a next-generation complexity management technology, available with coarse and fine-grain parallelism. Ideal for running large problems and processing large amounts of data.
OntoTest™. This is a tool powered by OntoNet™ and is built for three specific applications:
Digital autopsy: pinpoint causes of a malfunction or anomaly.
Digital Twin quality: measure in real time the quality of a digital twin and identify causes of discrepancy.
Counterfeit detection: identify counterfeit components, such as chips, boards.
OntoTest™ is available for both MS Windows and Linux platforms, for scalar and multi-core architectures (Linux).
All of the above products can be delivered on customized, single or multi-core FPGAs from AMD (Xilinx) and Intel (Altera), with the associated boards. These solutions are ideal for high-stakes, high-security applications in aerospace or defense.
The first FPGA OntoNet™ implementation was developed in 2018 in collaboration with SAIC. A ruggedized enclosure (right) has been built for use on-board of military land vehicles. A connection to the CAN Bus enables real time processing of vital vehicle data and produces early warnings of anomalies as well as information for Condition-based Maintenance and Fleet Management.
On-board processing of vehicle data guarantees highest security in that no data needs to be transmitted for further analysis.
Once integrated, OntoNet™ will work in the background and take monitoring, data analytics, anomaly detection and resilience management to a totally new level. OntoNet™ monitors a system as a whole, discovering and analyzing all interdependencies between thousands of data channels, and not simply checking if thresholds are exceeded.
OntoNet™ is non-intrusive technology that works in the background, identifying in real-time any anomalies that traditional monitoring systems will miss.
Real-time Anomaly Early Warnings
OntoNet™ processes real-time data from critical sub-systems using raw CAN bus data, delivering warnings of anomalies before they materialize and indicating the cause.
No Need for Machine Learning
QCM/Artificial Intuition finds anomalies, fragilities and inefficiencies in complex, critical systems, before they materialise. In real time. Without Machine Learning. Very fast.
Because OntoNet™ is not AI-based, explainability is not a problem. Every anomaly OntoNet™ identifies, every problem it solves comes along with precise indication of where trouble has started.
Contact us to obtain license pricing information.