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Improve the quality of analysis

Making analytical processes and apps consistent, collaborative, and easy to share.


Find the right data and processes faster

Centralising and democratising access to all of your test data.


Dive deeper into test data

With Aqira’s wide range of built-in engineering tools and Python capablities for data science, machine learning, and big data analytics.

Open, collaborative, efficient test data management

Aqira is the web-based data and analysis platform that accelerates innovation for engineers -  meeting the challenges of increased data volumes and the changing demands of new product technologies.

How engineers test faster, cut rework, and analyse more accurately with Aqira

Aqira breaks through silos, giving engineers across your team equal access to key data, core processes, and in-house expertise.

  • Unite engineering processes
    Use Aqira’s engineering apps to create expert-defined, validated, up-to-date processes that your whole team can use – regardless of experience.
  • Avoid bottlenecks
    Aqira’s web-based system – deployed on-premise or on cloud-hosted Linux virtual machines – makes it easy to run key calculations on the same data in parallel, without overloading the server.
  • Unify data across projects and teams
    Aqira collates and organises large volumes of test data on one system and makes it easy to share insights internally and externally – avoiding costly retests and keeping everyone on the same page.
  • Cut search times for data
    Perform metadata searches on large volumes of measured data and related files at high speeds.
  • Make analysis accessible
    Dive into your data without climbing a steep learning curve, thanks to Aqira’s easy-to-use interface.
  • Intensify analysis
    Use Python and nCodeDS to perform data correlation analyses or extract insights with machine learning.

Webinar: Empowering engineers with data insights

See Aqira’s intuitive interface in action and discover how it can help you gain deeper insights and empower your team to save time by finding the right data faster.