Use case: Lab testing

Stream lab-test data into a central, queryable store 

Capture high-frequency data from DAQs, controllers, and sensors. Quix unifies signals with configuration/context for instant correlation and analysis.

Get full traceability for compliance and certification

Each test run is versioned with firmware, DUT, rig, and parameter metadata, ensuring repeatable, auditable results.

Connect all your test systems to one data platform

Integrate LabVIEW/VeriStand, DAQs, controllers, and rigs with Quix. Configuration and runtime data are captured automatically, synchronised, and ready for post-test review.

What can you build with Quix?

Parallel test capture and coordination

Collect data from multiple rigs or DUTs at once. Quix keeps each test’s inputs, configurations, and outputs separate yet comparable across experiments.

Automated post-processing and normalization

Stream DAQ and controller data into Quix, where signals are timestamp-aligned, cleaned, and enriched with configuration metadata, ready for immediate review.

Live dashboards and analysis notebooks

Visualize controller signals, sensor outputs, and performance metrics in real time. Compare results across tests directly within Grafana dashboards or Python notebooks.

Test and configuration tracking

Automatically log every test run with its configuration, firmware version, and calibration data. Recreate or compare runs to evaluate performance changes over time.

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 Quix connects test rigs and lab equipment to your engineering data systems

Quix captures real-time data from DAQs, controllers, and sensors, synchronises it with configuration metadata, and streams it to a central lakehouse for monitoring, analysis, and replay.

Lab Test and Data Management Features

Parallel test capture and coordination

Collect data from multiple rigs or DUTs at once. Quix keeps each test’s inputs, configurations, and outputs separate yet comparable across experiments.

Automated post-processing and normalization

Stream DAQ and controller data into Quix, where signals are timestamp-aligned, cleaned, and enriched with configuration metadata, ready for immediate review.

Live dashboards and analysis notebooks

Visualize controller signals, sensor outputs, and performance metrics in real time. Compare results across tests directly within Grafana dashboards or Python notebooks.

Test and configuration tracking

Automatically log every test run with its configuration, firmware version, and calibration data. Recreate or compare runs to evaluate performance changes over time.

Cost efficient data storage

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

Data replay and recalculation

Replay recorded test data streams to validate new ECU logic or analysis code without rerunning the physical test. Ideal for debugging and post-test verification.

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.