-
GEOSCIENCE DATA
MANAGEMENT
Revolutionizing Geoscience with Intelligent Engineering: Empowering Data-Driven Discoveries
The geoscience industry faces growing challenges in managing vast, complex data crucial for exploration, mining, and environmental initiatives. Outdated systems, stranded records, and data quality issues hinder decision-making and operational efficiency.
With 13+ years of expertise in geoscience data management, Cyient tackles these challenges by organizing, securing, and standardizing geospatial and non-geospatial data. Our mining technology solutions leverage AI/ML for advanced processing, ensuring seamless integration, real-time accessibility, and actionable insights. Supported by a team of 150+ geologists, we deliver cost-effective, scalable services ranging from logical organization (including reports, spatial datasets, and non-spatial datasets) to managing vector/raster files, lithology, and downhole data. By enabling mining automation, we provide large-scale data digitization, fostering innovation and operational excellence in geoscience.
Deep domain expertise and cost-effective solutions to meet the complex needs of geoscience projects.
Solutions include geocoding, georeferencing, data migration, and map digitization.
Utilizes AI/ML for mining automation and advanced technology solutions.
Deliver innovative, high-quality data management solutions across diverse geoscience projects.
Mining Technology and Geospatial Excellence

Provides essential information about data, including its origin, content, structure, and context, enabling users to understand and effectively utilize it.

Involves assigning precise geographical coordinates to reports and datasets, ensuring accurate spatial referencing and reliable geospatial analysis, critical for mining technology solutions.

Includes collecting and organizing comprehensive datasets from surface surveys and drilling activities to facilitate streamlined analysis and interpretation.

Captures and records geophysical measurements to develop detailed subsurface maps and models for precise geological analysis.

Aligns spatial data to real-world geographic coordinates, ensuring accurate mapping and effective spatial analysis for various applications, including supporting automation in mining industry workflows.

Transforms physical geological maps into high-quality digital formats, enhancing accessibility, enabling detailed analysis, and supporting integration with other geospatial data.

Ensures smooth data migration between file formats, enhancing compatibility with modern systems and improving data accessibility and usability.

Provides essential information about data, including its origin, content, structure, and context, enabling users to understand and effectively utilize it.

Involves assigning precise geographical coordinates to reports and datasets, ensuring accurate spatial referencing and reliable geospatial analysis, critical for mining technology solutions.

Includes collecting and organizing comprehensive datasets from surface surveys and drilling activities to facilitate streamlined analysis and interpretation.

Captures and records geophysical measurements to develop detailed subsurface maps and models for precise geological analysis.

Aligns spatial data to real-world geographic coordinates, ensuring accurate mapping and effective spatial analysis for various applications, including supporting automation in mining industry workflows.

Transforms physical geological maps into high-quality digital formats, enhancing accessibility, enabling detailed analysis, and supporting integration with other geospatial data.

Ensures smooth data migration between file formats, enhancing compatibility with modern systems and improving data accessibility and usability.