Mycroft Mind, a.s.
Mycroft Mind was founded by Filip Proch'zka in 2007 as one of the first spin-offs of the Faculty of Informatics of Masaryk University in Brno. From the beginning, the company has focused on artificial intelligence and data analytics, and in 2011 it began to focus on creating systems and services for power grid data collection, management and evaluation. Mycroft Mind has successfully completed a number of projects for electricity distributors not only in the Czech Republic, where it works for all three national distributors CEZ, E.ON and PRE, but also abroad, where the company's clients include one of the world's largest utilities, the Spanish Iberdrola. Mycroft Mind's main products are the AI platform DataGenie and the Visual Grid Analytics application. By using machine learning modules, DataGenie can quickly process really large amounts of data and thus serves as a robust AI platform for IoT networks technical data collection, processing, management and analysis, whether it's energy distribution networks or urban infrastructure. The Visual Grid Analytics application builds on the DataGenie elements and combines cutting-edge analytics with visualization of results in an interactive 3D scene - instead of excel spreadsheets and a set of graphs, it shows an easy-to-understand model of your infrastructure's digital twin, where it also detects and highlights problems. This way, for example, it helps utilities to detect locations with blackouts or home charging of electric vehicles that negatively impacts the surrounding electrical grid. With an in-house team of 8 mathematicians and data analysts, Mycroft Mind can also solve customer-specific use cases. This expertise has also secured Mycroft Mind a strong position in the area of science and research, where it has long collaborated on major research projects with most of the country's leading technical colleges and universities. Currently, Mycroft Mind is also working on embedding (deploying) its machine learning algorithms directly into edge devices. Mycroft Mind algorithms have been trained to solve a range of problems on more than 20 billion measurements from real IoT networks, primarily but not exclusively energy grids. This technology is now being deployed on low-end device chips, which can significantly increase their computing capacity and enable much more complex information to be extracted much faster from cheap and affordable sensors. This will not only significantly reduce response times, but also provide the ability to manage locations and areas with limited or minimal access to the internet more efficiently.