Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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CMW Platform
This low-code Business Process Management Suite (BPMS) enables medium and large enterprises to design, automate, and continuously improve business processes — while staying aligned with corporate architecture, IT governance, and compliance standards. It empowers both business and IT teams to collaborate and rapidly deliver workflow-driven applications without heavy coding or long development cycles.
The platform supports a wide range of automation scenarios, including CapEx approval, procurement management, customer order processing, approval workflows, and document tracking — replacing email-based and manual routines with structured, transparent, and auditable digital workflows.
Built-in Enterprise Architecture (EA) capabilities allow organizations to model business capabilities, link them to operational processes and systems, and ensure traceability across business and IT layers. This helps enterprise architects align process changes with strategic goals, manage dependencies, and support long-term transformation initiatives.
With visual tools for process design, data modeling, access control, and integration with core enterprise systems (ERP, CRM, DMS), the suite enables fast deployment, cross-department collaboration, and continuous optimization. Flexible deployment options (cloud or on-premises) ensure security and scalability in regulated environments.
The BPMS is used across multiple industries — including manufacturing, financial services, healthcare, energy, and the public sector — by organizations seeking to reduce operational costs, improve agility, and modernize their process landscape without disrupting core systems.
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g-Space
Geomage G-Space™, a complete structural interpretation software, allows for a thorough analysis of seismic and well data.
Geomage G-Space™, software allows:
Horizon and Fault Picking
- Geological modeling
- Map creation with errors
- Well-tie with dynamic update
Well, correlation
- Mis-tie workflow
- Model of velocity based on checkshots, horizons and angular distance
- Simultaneous depth/time picking
Static modeling
Volumetric Calculation
- etc, etc, etc and more...
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Danomics
Danomics is an innovative cloud-based platform tailored for subsurface interpretation, aiming to enhance the capabilities of geologists and engineers in analyzing geological formations. It provides sophisticated tools for mapping and characterizing reservoirs, alongside scalable cloud-supported log analysis and robust decline curve and type curve evaluations. The platform facilitates the importation of various data types like well headers, logs, tops, core data, and shapefiles in commonly used formats, enabling the creation of structure and isopach maps that adhere to geological principles while streamlining the process of identifying tops with assisted correlation. Furthermore, users can efficiently expand their interpretations across thousands of wells, personalize their analyses with spatial interpolation tools, and develop 3D models and visualizations of reservoir properties for enhanced understanding of production factors. Among its numerous features are workflows based on mineral inversion, automated data conditioning, machine learning-driven washout repair, and lithofacies and shear log modeling, all designed to optimize the analysis process. Overall, Danomics represents a significant advancement in subsurface interpretation technology, providing essential tools for modern geological exploration.
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