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Get more capacity out of your existing test facilities
Increase your testing capacity without adding hardware. Quix makes historical test data searchable and automates the manual data work that slows your engineers down between tests.
You've probably tried to solve this before
Most R&D leaders we talk to have already spent one to two years attempting to digitalize their test workflows. The approaches that seem logical on paper tend to fail for specific, structural reasons.
Enterprise platforms force you into their process
Traditional enterprise platforms require you to align your internal processes to their environment. For an R&D team with unique test procedures and proprietary methods, that means expensive customization projects that take months and still require compromises on how your engineers actually work.
Custom integrators are slow, expensive, and wrong
Asking an external vendor to build your data infrastructure means a constant translation layer between the people who understand the engineering and the people writing the software. The result is usually late, over budget, and missing the point of what your engineers actually needed.
Corporate IT and data science teams never prioritize R&D
You've submitted the business cases. They've hired data scientists. Your project sits on a priority list behind twenty others. Then that data scientist leaves, a new one starts, and your project resets to zero. After a few cycles of this, the exhaustion is real.
DIY open-source is too technical for your team
Your team has looked at building on open-source technologies directly. For a team of engineers with one or two software developers, maintaining that infrastructure alongside their actual work becomes a second job that crowds out the engineering problems they were hired to solve.
Get our latest whitepaper:
'How to Load & Analyze Engineering Data Faster with Modern Software Principles'
Learn how F1 teams architect their test data for faster analysis, and apply the same patterns to your facility.
What R&D leaders report after deploying Quix
Defer CAPEX by proving software gains first
One R&D director used pilot data to demonstrate 30% efficiency gains, then deferred a decision on four additional machines. When you can show the board measurable throughput improvements from your existing rigs, the capital expenditure conversation changes entirely. Pilot against your own dataset and present real numbers from your facility.
Engineers build their own tools from day one
Your engineers know the physics and they know the analysis steps. What they lack is a way to deploy that knowledge as live, automated workflows. Quix gives them a Python-based toolset they can start building with immediately, without waiting for a software team, a vendor, or a corporate IT project that may never arrive.
Compete on productivity, not headcount
When competitors have ten times the engineering staff, you can't match them by hiring. You match them by making each engineer more effective: automated monitoring across multiple rigs, real-time analysis that catches failures mid-test, and searchable historical data that eliminates redundant testing. One operator covering six rigs instead of one.
A measurable case for the board
Stop presenting vendor slide decks to leadership. Pilot with a representative dataset, measure the query times and cycle reductions yourself, and present the board with capacity projections backed by data from your own facility. That's what gets budget approved.
How it works
Every test run is stored with structured metadata (test conditions, configuration, timestamps, rig, operator) that your engineers can search in seconds. Analysis logic written in Python runs against live sensor feeds during tests, so results are available immediately rather than hours later. Automated monitoring watches multiple rigs in parallel and alerts operators only when a decision is needed.
Quix integrates with your existing DAQ systems, LabVIEW, and databases. Nothing gets ripped out. Data flows through stream processing into a storage layer optimised for engineering queries.
Trusted by data-intensive R&D teams at:
Low risk, fast time to value
Expert consulting included
Many engineering teams don't have software expertise in-house, which is why Quix includes hands-on technical consulting to get you up and running. We can also run workshops to show your engineers how to build their own data tools.
Get a working pilot in days
You don't need a 6-month business case. Get a pilot running with a small representative dataset. Show stakeholders a live demo with real query times instead of a slide deck.
Runs on your infrastructure
Quix deploys on-premise or in your own VPC. No data ever leaves your network. Once deployed, Quix operates without any connection to the outside world, which is why teams in defence, aerospace, and other regulated industries trust it.
No vendor lock-in
Quix runs on open-source technologies: Kafka, Kubernetes, standard time-series databases. If you ever need to walk away, you keep the blueprint, the code, and the skills.