Use case: Model-in-the-loop (MIL) testing

Stream simulation results into a central, queryable data store

No need to make trade-offs between data volume and query speed. The Quix Data Lakehouse enables you to store and query raw high-frequency data. You can also use Quix processors to downsample data as it comes in and store it at different resolutions for querying across test campaigns.

Get full traceability for compliance and certification

Link your test results back to the originating test scenarios and product requirements using the Quix Test Manager. After simulation data is ingested into Quix, it is automatically tagged with metadata about the text campaign and testing configuration.

Connect all your simulation tools to a unified data platform

Connect tools like LabView and MATLAB directly to Quix so configuration data is automatically captured as soon as a test is initiated. Run parameter sweeps overnight and automatically capture results and configurations.

What can you build with Quix?

Parallel model testing

Use Quix to execute containerized model binaries (FMUs, Simulink-generated code, or Python models) in parallel across managed compute nodes.

Automated post-processing and normalization

Stream simulation results directly into Quix, where data is automatically timestamped, cleaned, and enriched with configuration context — ready for analysis as soon as each run completes.

Analytics notebooks and dashboards

Use in-built Grafana Dashboards to vizualize simulation results in real time or compare previous test campaigns using SQL or Python with analytics notebooks.

Test campaign tracking and versioning

Automatically record every simulation run with its parameter set, model version, and configuration data. Browse or compare historical campaigns to understand which parameter changes produced which outcomes.

Cost efficient data storage

Use the Lakehouse paradigm to store data in a variety of formats and resolutions without sacrificing accessibility or IT budgets.

How Model-in-the-Loop simulation data flows through Quix

Each simulation run generates valuable insights, but capturing, comparing, and reusing that data is tedious. Exporting files, renaming folders, and stitching results together by hand slows down experimentation. Quix connects your MIL environment to a continuous data stream so simulation results appear instantly — ready for analysis or the next parameter sweep.

Simulation Process and Data Management Features

Parallel model testing

Use Quix to execute containerized model binaries (FMUs, Simulink-generated code, or Python models) in parallel across managed compute nodes.

Automated post-processing and normalization

Stream simulation results directly into Quix, where data is automatically timestamped, cleaned, and enriched with configuration context — ready for analysis as soon as each run completes.

Analytics notebooks and dashboards

Use in-built Grafana Dashboards to vizualize simulation results in real time or compare previous test campaigns using SQL or Python with analytics notebooks.

Test campaign tracking and versioning

Cost efficient data storage

Use the Lakehouse paradigm to store data in a variety of formats and resolutions without sacrificing accessibility or IT budgets.

On-premise or Cloud installation

Deploy Quix in your own VPC or on-premise. Quix can run in a completely airgapped environment with no access to the internet.

Browse and compare test runs

Explore all test runs in one place. Compare results side by side to see how different settings or conditions affected performance.

Find test data by asset

Search and filter test data by asset, whether it’s a model, device, component, or software version. View each asset’s complete test history in seconds.