Highcharts is a JavaScript charting library that simplifies the integration of interactive charts and graphs into web or mobile applications, regardless of their scale. This library is favored by over 80% of the top 100 global companies and is widely utilized by numerous developers across diverse sectors such as finance, publishing, app development, and data analytics. Since its inception in 2009, Highcharts has been continuously developed and improved, earning a loyal following among developers thanks to its extensive features, user-friendly documentation, accessibility options, and active community support. Its ongoing updates and enhancements ensure that it remains at the forefront of data visualization tools, meeting the evolving needs of modern developers.
Learn more
High-Performance Data Engineering. 100% Sovereign.
TIMi delivers the full power of a enterprise data cloud—on-premises, fully sovereign, and blisteringly fast.
No vendor lock-in. No hidden costs. Just pure engineering excellence that gives your team total freedom to experiment, innovate, and solve your toughest AI and automation challenges in record time.
The TIMi Advantages:
No-Code Integration: Automate complex workflows and connect your entire tech stack instantly—from SAP and Salesforce to SharePoint and Google BigTable.
Radical Efficiency: Competitors such as Databricks, Dataiku, and MS Fabric relies heavily on a Spark back-end. Spark quickly burns budget because of bloated Java virtual machines. TIMi strips away the waste with pure, bare-metal, hand-optimized assembly code. The result: A single €2k TIMi server outperforms a 267-node Spark cluster, processing billions of rows in seconds and effortlessly running petabyte-scale data lakes at a fraction of the cost.
Pioneering AI: Harness advanced machine learning built on the legacy of the first Auto-ML engine (pioneered in 2007).
Available on-premises or via our EU-Hosted Sovereign Cloud. Trusted across Telecoms, Banking, Manufacturing, Retail, Defense, and Government.
Learn more
DataMelt
DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements.
As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.
Learn more
RATH
RATH transcends conventional data analysis and visualization tools such as Tableau by streamlining the exploratory data analysis process. Utilizing an advanced Augmented Analytic engine, it identifies patterns, insights, and causal relationships, delivering these findings through sophisticated, automatically generated multidimensional visualizations. This innovative approach not only enhances efficiency but also empowers users to make data-driven decisions with greater clarity and confidence.
Learn more
