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QELLVIS
Quiet
#10762 Radar 18

Models system behavior, flow, and pressure in real-time for engineers.

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Product memo

Engineers and architects gain a deterministic engine for analyzing complex systems. It models flow, pressure, and constraints in real-time, moving beyond static design to reveal emergent behavior. A public API allows programmatic access for integration into existing workflows, offering a specialized lens on system dynamics.

For who

Engineers and architects analyzing complex systems

Solves what

Models system behavior, flow, pressure, and constraints in real-time.

  • Deterministic system behavior engine
  • Flow propagation & load analysis
  • Public API for programmatic access

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.

CTA: Enter system view

Commercial cues

Pricing snapshot free only with free tier

Model

free only

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

QELLVIS offers a free tier, with Enterprise handled through custom pricing.

Key Tactics
  • A free tier gives engineers a low-friction way to explore one connected.
  • Enterprise handles custom requirements.
  • Visible limits define plan boundaries.

Operator context

Operating setup

Founded

May 2026

HQ

Switzerland

Platform

Web app

Audience

Developers

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Small Team
About QELLVIS Expand

QELLVIS provides engineers and architects with a specialized system intelligence layer. It moves beyond static design, offering a deterministic engine that models emergent behavior, flow propagation, structural pressure, and dependency-based blockages in dynamic graphs.

This focus on real-time analysis gives users deep insights into how complex structures behave under pressure. The platform's public API allows direct integration into existing engineering workflows, making it a critical tool for understanding and predicting system performance.