Insights from the engineers building Quix

Engineering notes, product updates, and field stories

Product

Introducing Quix for Hardware Testing

Automotive Testing Expo Europe 2026, Stuttgart

Events

Meet Quix at Automotive Testing Expo 2026

Industry insights

Using AI to accelerate rotor balancing throughput and reduce capex by 30%

Surviving the changing economics of automotive engineering

The European automotive landscape is dominated by some of the oldest and most prestigious manufacturers in the world. But they need to adapt if they are to survive the era of AI, EVs and autonomous vehicles.

The Chinese advantage, pt. 2

Chinese carmakers have embraced modern data infrastructure to process huge volumes of vehicle and operational data. Their approach offers European OEMs a useful perspective on how automotive data platforms could be modernised.

The Chinese advantage

Why have Chinese manufacturers have been able to design, test, and launch new vehicles much faster than European incumbents?

Introducing Quix for Hardware Testing

Introducing Quix for Hardware Testing — an AI-native platform built with resilience and sovereignty as default. Five pillars that capture every test with its full configuration and put autonomous agents to work across rig, dyno and simulation data.

Meet Quix at Automotive Testing Expo 2026

We're at Automotive Testing Expo Europe, stand 1782, from 23–25 June. The first look at Quix for Hardware Testing, a Spa-Francorchamps telemetry demo, a talk on AI search for test data, and a happy hour.

Using AI to accelerate rotor balancing throughput and reduce capex by 30%

A third of rotors need five or more balancing runs. The data to catch those outliers on the first run already exists — here's the infrastructure that turns it into a 30% capex saving.

Has F1 become too software defined?

Automated control is dulling the racing for drivers and fans. The same automation, pointed at R&D data, is becoming engineers' biggest competitive edge.

The other industrial AI

The productivity gains in industrial AI aren't coming from frontier LLMs. They're coming from established methods that infrastructure has finally made usable.

Scaling MATLAB and Simulink workloads in Quix Cloud

Four ways to run MATLAB and Simulink models inside real-time data pipelines at scale — and why running them in the pipeline changes what's possible.

How to take control of your test rig data: a hands-on walkthrough with Quix

A hands-on tour of a live propulsion test rig: capturing, enriching and comparing test data in real time, from LabVIEW to a queryable Lakehouse.

Your R&D test rig data is worth more than you think

A single test can generate 43 million data points — most of which quietly become inaccessible. Here's why context, not capture, is the real challenge.

Stop building infrastructure. Start engineering.

BOOK A DEMO