The competencies Quanopt personnel cover a wide range of technical skills supported by solid theoretical background. Our main competencies are applied across application areas from embedded system development to IT infrastructure analysis.
We have years of experience in creating models which describe requirements, structure and behavior of complex systems. What makes Quanopt unique is the combined application of lightweight modeling techniques, domain specific modeling and formal mathematical methods in a way that enables business users to concentrate on problem formulation.
The application of data analysis in our consulting services is one of our core competencies. The emerging discipline of "data science" is significantly reshaping the fields we are active in. Some examples from the professional experience of our team:
For all of these cases, the application of statistical modeling methods is only one facet of unlocking the potential that is present in available data. When targeting real-life problems, exploratory data analysis techniques and increasingly, Big Data techniques are of crucial significance, too. Our company is in the unique position that we can employ data analysis as a core capability that seamlessly blends with and supports our modeling, optimization and domain specific expertise.
Resource allocation and scheduling is a problem that needs not only mathematical methods to solve formal equations but multi-aspect modeling of constraints and user requirements to cover performance, robustness and security issues besides business effectivity.
Services with demanding performance and availability requirements have to be deployed on infrastructures that are properly sized and are equipped with the appropriate monitoring, error recovery and failure avoidance mechanisms. We employ model-based and data driven service-infrastructure codesign techniques for designing infrastructure and system management deployment. Cloud-based infrastructures pose a special challenge; in public clouds, the unknown deployment of the tenant resources to physical ones and the performance interferences between tenants need continous monitoring and dynamic adaptation.
A significant amount of Quanopt the R&D expertise of the Quanopt staff was acquired through participation have significant R+D experience in a number of EU FP6 and FP7 projects as researchers of another spin-off company (OptXware).
In a recently finished process-based diagnostic project we designed and implemented a diagnostic framework which helps to create runtime monitors for critical business process models. The diagnostic framework collects events which are generated by business processes and evaluates rule-based requirements.
Cloud benchmarking, deployment automation and deployment decision support. Our colleagues have designed and implemented an automated IaaS cloud benchmarking solution for a major telecommunication solutions provider.
We have developed a model-based methodology for robust transformation development for data integration in the logistics domain. The aim of this EU-funded project was to build a common IT platform including services and data formats to be used by transportation/logistics stakeholders in Europe. An example tool was developed with the participation of a Quanopt expert to support the debugging of XSLT transformation.
Quanopt researchers developed a novel production optimization and order predictor solution for one of the largest assembly plants in Hungary where low volume/high value products are manufactured for a world-wide customer basis .
Quanopt experts played a key role in the systematic monitoring design in an EU project (getting Excellent remark) where a distributed event processing environment was created to support the information federation between financial infrastructures (e.g., banks).
In a large EU FP6 project, Quanopt experts contributed to service modeling, analysis and deployment methods to create dependable SOA applications. Case studies were taken from the automotive and financial field.
Quanopt experts participated in IT dependability analysis project which was an Integrated Project of the Sixth Framework Programme of the European Union under the "Information Society Technologies" priority, strategic objective "Towards a global dependability and security framework".
Virtual Desktop Infrastructure (VDI) capacity planning guidance. Using historical hypervisor performance monitoring data stored in HDFS, we have analysed the performance of VDI services deployed on large clusters at a major international financial firm.
Quanopt experts participated in development of dependable embedded system project. This project methodically targets, investigates, and develops approaches to significantly alleviate the identified five key obstacles to the deployment of advanced electronic functions in embedded systems.
Quanopt Ltd is a Hungarian spin-off company founded by researchers. Quanopt offers services and software for system modeling, data analysis and optimization.
Company seat: 1118 Budapest, Nagyszalonta u. 40. 1/4
Office:1113 Budapest, Bocskai út 77-79. B310 map
EU VAT Number: HU24125918
Hungarian VAT Number: 24125918-2-43
Registration number: Cg. 01-09-991660 (Court: Fővárosi Bíróság)