Engineering notes, product updates, and field stories
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.
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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.
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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.
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Automated control is dulling the racing for drivers and fans. The same automation, pointed at R&D data, is becoming engineers' biggest competitive edge.
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The productivity gains in industrial AI aren't coming from frontier LLMs. They're coming from established methods that infrastructure has finally made usable.
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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.
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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.
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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.
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