Quix for automotive
Unify dyno, vehicle test and simulation data into one platform and turn every test rig into a source of insight, not a bottleneck
BOOK A DEMOUnify dyno, vehicle test and simulation data into one platform and turn every test rig into a source of insight, not a bottleneck
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A single battery pack has thousands of cells, each generating thermal, electrical, and degradation data across every charge cycle, temperature condition, and load profile.
Modern vehicles run tens of millions of lines of code. Camera, LiDAR, radar, and ultrasonic sensors running simultaneously generate terabytes per hour. Every software release requires validation across hardware configurations, edge cases, and safety standards.
Overseas manufacturers operate as software companies and move at software speed, whilst also undercutting on price. European vehicle manufacturers face simultaneous pressure to accelerate development cycles and bring manufacturing back onshore.
The communication protocols cars run on were designed in the 1980s. Many of the test analysis tools in daily use were written before smartphones existed. The automotive industry has spent decades layering new requirements on top of infrastructure built for a different era.
Test data arrives without context
Rig results queue behind processing
No single source of truth
Legacy tooling cannot scale
Unify dyno, vehicle test and simulation data into one platform engineers query directly. Each new rig becomes another source of insight rather than another bottleneck, enabling engineers to make faster, better-informed decisions.
Capture data context at ingestion, so historical data stays trustworthy across the life of a programme. Guesswork is removed and time isn't wasted on reconstructing history.
Quix runs shorter test-to-insight cycles by moving from rig to engineer without batch exports, file transfers, so engineers can work with results as tests complete rather than waiting for someone to get round to processing them.
Quix connects to the file formats, visualisation tools and data sources already in use and builds the modern pipeline around them. No need to invest in a large rip and replace initiative around existing infrastructure.