Models system behavior, flow, pressure, and constraints across dynamic graphs.
Product memo
Engineers and architects use QELLVIS to model complex system behavior, moving beyond static design to analyze emergent properties. It provides a deterministic engine for understanding flow propagation, structural pressure, and dependency-based blockages within dynamic graphs. This focus on real-time, emergent analysis offers a deeper understanding than traditional design tools.
For who
Engineers and architects analyzing complex systems
Solves what
Models system behavior, flow, pressure, and constraints across dynamic graphs.
- Deterministic system behavior engine
- Flow propagation modeling
- API for programmatic analysis
In their own words
Systems are not designed. They emerge in behavior.
QELLVIS reveals how structure behaves under pressure — flow propagation, load accumulation, and systemic constraints that shape real‑time behavior.
QELLVIS is a deterministic system‑behavior engine that models flow propagation, structural pressure, and dependency‑based blockage across dynamic graphs.
Commercial cues
Model
subscription
Free tier
No
Trial
Available
Operator context
Founded
May 2026
HQ
Switzerland
Platform
Web app
Audience
Developers
Public footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Complex Stack
About QELLVIS Expand
QELLVIS provides a system intelligence layer for engineers and architects analyzing complex systems. It moves beyond static design by modeling emergent behavior, offering a deterministic engine to analyze flow propagation, structural pressure, and dependency-based blockage across dynamic graphs.
This focus on real-time, emergent analysis helps users understand how systems behave under various conditions. The platform offers programmatic access via an API, allowing integration into existing engineering workflows.