Structural analysis
We examine how a system is structured, how its components interact, where critical dependencies exist, and what constraints and risks shape its behaviour.
Swedish research & technology
We build formal models of complex systems to determine what can be changed and what must be preserved.
Understand the system. Then design the change.
We examine how a system is structured, how its components interact, where critical dependencies exist, and what constraints and risks shape its behaviour.
We build mathematical and computational models to explore possible system states, compare scenarios and evaluate the consequences of change before it is implemented in the real system.
We adapt AI tools to specific analytical tasks within defined structures, constraints and validation criteria. AI supports analysis and modelling, while interpretation and responsibility remain human.
We design a practical path from a system’s current state to its target state, using controlled stages with defined conditions, responsibilities, validation criteria and mechanisms for adjustment or recovery.
02 / Our approach
A formal model of the system.
A practical path for its development.
Feasibility
Can the proposed configuration exist under real conditions and constraints?
Reachability
Is the target reachable from the current state, and which transitions are needed?
Stability
Under what conditions can it remain stable and retain its critical properties?
03 / Nelvarx Open Research Platform
In developmentAn open research and engineering initiative by Nelvarx Systems AB. A structured environment for research questions, models, experiments, validation and collaboration on GitHub.
Access is open. Publication is selective.
The platform and contribution links will be connected before launch.
04 / About Nelvarx
We help organisations understand how their systems work before investing in technology, automation or large-scale change.
Nelvarx Systems AB is a Swedish research and technology company focused on analysing complex systems and developing tools to understand and transform them.
We study technical, organisational and information systems to understand how they work, how their components interact, what constraints and risks exist, and what changes are possible under real-world conditions.
We use structural analysis, mathematical and computational modelling to develop models, methodologies and software tools. These help explore possible solutions, compare alternatives and identify practical paths from a system’s current state to a desired one.
Artificial intelligence is used as one of our tools for analysis, modelling and working with information. It extends our research capabilities, while problem definition, interpretation of results and responsibility for decisions remain human.
First understand the system. Then design the change.