Solutions:
Field testing

Test in the field with connected data capture

Collect and synchronize data from vehicles, prototypes, or flight systems during real-world testing. Quix streams data from on-board DAQs, sensors, and controllers to a central platform, live when connected, buffered when offline, so that engineers can analyze performance in context.

Stream field-test data into a central, queryable store

Capture high-frequency data from your controllers, simulators, and operator interfaces. Quix unifies input and output streams with configuration data for instant correlation and analysis.

Get full traceability for compliance and certification

Each field test is versioned with firmware, calibration, route, and environmental metadata, ensuring repeatable, auditable validation.

Connect all your test systems to one data platform

Integrate in-vehicle loggers, flight recorders, and edge gateways with Quix. Data is securely transmitted or uploaded to the same platform used for lab and simulation results.

What can you build with Quix?

Parallel test capture and coordination

Collect data from multiple vehicles, prototypes, or field assets at once. Quix keeps each run’s configuration, environment, and output data separate yet comparable across routes or conditions.

Automated post-processing and normalization

Ingest DAQ and telemetry data into Quix, where signals are timestamp-aligned, cleaned, and enriched with configuration and GPS/environment metadata, ready for immediate analysis.

Live dashboards and analysis notebooks

Monitor live telemetry metrics such as temperature, vibration, and fuel or power consumption. Compare results across runs directly in Grafana or Python notebooks.

Run and condition tracking

Automatically log each field test with its configuration, firmware version, calibration, and environmental conditions. Recreate or compare runs to evaluate performance changes over time.

Connectivity-aware data sync

Field tests often face patchy connectivity. Quix buffers data locally and automatically syncs when a secure link is available, preventing data loss and keeping every run traceable.

From field to cloud: real-time and offline data flow

Field-test data is logged locally during operation and transferred via Ethernet or secure upload to Quix for synchronization, enrichment, and analysis alongside lab and simulation results.

Field test and data management features

Parallel test capture and coordination

Collect data from multiple vehicles, prototypes, or field assets at once. Quix keeps each run’s configuration, environment, and output data separate yet comparable across routes or conditions.

Automated post-processing and normalization

Ingest DAQ and telemetry data into Quix, where signals are timestamp-aligned, cleaned, and enriched with configuration and GPS/environment metadata, ready for immediate analysis.

Live dashboards and analysis notebooks

Monitor live telemetry metrics such as temperature, vibration, and fuel or power consumption. Compare results across runs directly in Grafana or Python notebooks.

Run and condition tracking

Automatically log each field test with its configuration, firmware version, calibration, and environmental conditions. Recreate or compare runs to evaluate performance changes over time.

Connectivity-aware data sync

Field tests often face patchy connectivity. Quix buffers data locally and automatically syncs when a secure link is available, preventing data loss and keeping every run traceable.

Data replay and recalculation

Replay recorded field-test data streams to validate new control logic, firmware updates, or analysis code, without repeating costly on-site tests.

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.

Review configuration history

See a clear record of all configuration changes. Track what changed, when it changed, and which test runs used each version.
Further reading

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