Ontonix Releases Multi-Processor Version of QCM/Artificial Intuition

On May 27th, 2025, Ontonix launched a Multi-Processor version of its QCM/Artificial Intuition technology, enhancing capabilities for large-scale problem-solving, including infrastructure and traffic monitoring. This architecture enables real-time data analysis through parallel processing, particularly for molecular simulations and image processing, significantly improving computational efficiency.

On May 27th 2025, Ontonix has released a Multi-Processor version of its QCM/Artificial Intuition technology.

The Multi-Processor version of our QCM/Artificial Intuition technology is major step when it comes to solving very large-scale problems, such as infrastructure protection, monitoring of industrial plants, processes and critical equipment, or traffic systems, as well as on-board processing on mobile platforms. In similar contexts, massive amounts of data are produced at high frequency, preventing real time analysis. With the availability of a multi-core QCM architecture, this no longer constitutes a problem.

The multi-core version is also ideally suited for fast processing of molecular dynamics simulations of not just small molecules but also of proteins.

Moreover, a specific version for parallel processing of images is also available. This may be particularly interesting in the case of satellite images and wildfire prevention.

The very attractive feature of these new implementations of QCM/Artificial Intuition is that they scale almost linearly with the number of processors (cores). This means that doubling the number of processors cuts the computation time by half.