QuixLab: For engineers who want superpowers

This week, we are delighted to open early access to QuixLab!

Modern vehicles, aircraft and industrial machines generate vast amounts of data, but many engineering tools were built before AI changed how that data can be handled and analysed. Working across large datasets still demands too much manual effort: finding the right files, preparing signals, writing scripts and sharing results.

That’s why we built QuixLab.

QuixLab combines AI agents with a harness that’s highly optimised for engineering data and has deep out-of-the box integrations with all existing engineering tools across the V. Its intuitive interface makes it easy for engineers to visualise, explore and analyse the data in a shared workspace

Engineers can now automate time-consuming work across data preparation, analysis and reporting, freeing them to focus on understanding results and making decisions.

Whether you are working with local files, live data streams, or data in a lakehouse, QuixLab lets you find your data, analyse it with Python, SQL, or AI, and instantly share the results as an app, a template, or an automated report.

Why QuixLab?

Built for massive, high-resolution data

Traditional notebooks crash when loaded with heavy engineering data. QuixLab keeps the data on the server, downsampling charts and loading only the visible ranges, so you can smoothly navigate multi-gigabyte test runs without freezing your workstation.

Real-time collaboration and live data

Work together in the same notebook with your colleagues and suppliers, seeing each other's cursors in real time. Connect directly to live data streams to watch your calculations and visualisations update automatically as the test happens.

Data analytics agents

The built-in analytics agents interpret your requirements, plan your analysis, write the code, and run it securely next to your data.

Cost Efficient Analysis: Your analytics code runs in a sandbox next to the data, without burning AI tokens or adding network fees
Full Transparency: No black boxes. The agent writes standard Python code that you can review, edit, and track. It also explains its methodology so you can understand its work
Custom Agents: Tune specialised agents for your specific discipline (like a CFD Results Analyst) by giving them access to your specific knowledge, scripts, documents and tools
Data Privacy: The AI model only receives table schemas to write analytics code, never the actual measurement data

From ad-hoc analysis to automated workflows

Stop repeating the same setup for every test. Turn your notebook into a reusable template. When new test data arrives, QuixLab can automatically run the analysis in the background and generate a fresh report before you even open your laptop.

Open and version-controlled

No lock-in. QuixLab saves your notebooks as plain Python files that commit directly to Git. Your data remains in open formats that tools like MATLAB can read natively.

Enterprise Grade Security

QuixLab is built to meet the security and compliance requirements of engineering teams in highly regulated environments, including the aerospace, defence, automotive and energy sectors. Deploy in your private cloud, on premises or fully air-gapped, with bring-your-own-model (BYOM) built in.

For programmes that span more than one region, you can also deploy instances under a single control plane, with record-level access control so each team, partner or nation only sees what its permissions allow.

The analytics agents work inside the same security boundary. No measurement data ever reaches the AI model: agents read only the table schema, run analysis code in a sandbox next to the data, and return only the result. Every AI action is logged, inspectable and subject to approval, keeping engineers in control.

Ready to get started?

You don’t need the full Quix platform to use QuixLab. Upload a supported test file, decode its contents and start exploring the signals. Use charts, Python, SQL or the analytics agent to investigate your data.