Thousands of outputs
Modern simulation produces more data than engineers can realistically interpret by hand.
The insight engine for nonlinear physics
Designing beyond linear limits
Zenoriq turns FEM-based physics models into structured nonlinear insight models · so operating windows, coupling paths, root causes, and device key performance indicators (KPIs) can be evaluated without repeated full-order studies.
MEMS first Pilot discussions welcome
A new layer between simulation and decisions. Built from the physical model to reveal behavior, margins, and root causes without repeated full-order studies.
Device physics foundation
layout · mesh · technology stack · actuation
Zenoriq
structured nonlinear insight model
Engineering insight
Operating window Coupling path Root cause Device KPI
The problem
Simulation became faster · Understanding did not
Modern MEMS and chip-scale devices generate more results, more operating conditions, and more coupled effects. The bottleneck is no longer only computation. It is interpretation.
Hidden interactions
Nonlinear coupling, stability loss, and mode contamination often stay covert until late design stages.
Decision gap
A simulation result shows what happened. It does not automatically explain what to change.
The missing layer
A new layer between simulation and decisions
Zenoriq does not replace FEM. It builds on FEM-based physics models and turns them into structured nonlinear insight models: operating windows, observables, coupling paths, KPIs, root causes, and trust indicators.
Simulation gives answers. Zenoriq explains what they mean for engineering decisions.
Understand
Reveal nonlinear interactions, operating limits, and dominant physical mechanisms.
Explore
Evaluate operating points, sensitivities, observables, and KPIs from one reusable model.
Decide
Prioritize engineering actions using linked attribution and device-aware insight.
Product architecture
One platform · Two ways to turn nonlinear physics into decisions
Zenoriq Engine · Compute
Build structured nonlinear insight models.
Automated backend for building structured nonlinear insight models, evaluating operating points, generating KPIs, exporting reports, and running batch analysis workflows.
Zenoriq Atlas · Discover
Explore insights interactively.
Interactive discovery environment for navigating operating windows, tracing root causes, inspecting coupling, comparing observables, and linking KPIs back to geometry.
Outcome
Questions Zenoriq helps answer
Zenoriq is built around the engineering questions that usually require repeated studies, manual interpretation, and expert judgment.
Why does frequency shift?
Which interaction causes instability?
What limits operating range?
Which regions matter most?
How robust is this design?
Which KPI should be optimized?
Where does coupling originate?
Which operating point is safest?
Focus
Designed for devices operating near their limits
Zenoriq starts with nonlinear MEMS because this is where stability, coupling, bias dependence, and device-aware KPIs matter most.
Micromirrors
Scan angle, stability, pull-in margins, parasitic coupling, and optical surface quality.
Microspeakers
Stroke limits, breakup risk, volume displacement, operating range, and distortion proxies.
PMUT
Membrane motion, electromechanical coupling, piston purity, and efficiency indicators.
CMUT
Bias-dependent softening, gap uniformity, collapse margins, and readout sensitivity.
Gyroscopes
Mode interaction, mode matching, quadrature, scale factor, and cross-axis behavior.
Accelerometers
Offset, cross-axis sensitivity, proof-mass purity, overload margin, and robustness.
MEMS first. Expanding toward nonlinear multiphysics.
Vision
Starting with MEMS · Expanding nonlinear understanding
Zenoriq starts where nonlinear insight is already critical: MEMS devices operating near stability, coupling, and performance limits. From there, the platform expands toward dynamic, acoustic, array, and broader multiphysics workflows.
Founder-led deep tech
Created to close the gap between simulation and decisions
Zenoriq is built from years of nonlinear simulation, model reduction, and MEMS engineering experience. The goal is not to create another solver, but to make complex nonlinear behavior understandable, explorable, and actionable.
Reveal nonlinear limits
Make hidden operating boundaries visible before late-stage surprises.
Structured insight models
Build structured nonlinear insight models from FEM-based physics foundations.
Device-aware decisions
Translate physics into KPIs, rankings, margins, and root-cause paths.
MEMS first
Focus the first category wedge where nonlinear insight is most valuable.
Pilot projects
When simulation stops explaining your device, Zenoriq starts
Focused pilot discussions are welcome for nonlinear MEMS problems where coupling, operating limits, root causes, or device KPIs are difficult to extract from FEM results alone.