Mineral Intelligence
Mineral Intelligence digitizes Soviet-era geological archives in Kazakhstan, converting unstructured coordinates, assays, and structural maps into standardized WGS84 format. The company produces verifiable Prospectivity Reports that rank drill targets on an A/B/C confidence scale, reducing asset evaluation from months to days for mining companies.
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Mining companies exploring in Kazakhstan face a significant barrier: vast amounts of geological data from the Soviet era remain locked in unstructured paper archives, making it difficult and time-consuming to identify and evaluate prospective drill targets. Converting this legacy data into usable, standardized formats requires substantial manual effort and expertise, delaying exploration decisions and increasing costs.
Solution
Mineral Intelligence provides a specialized analytical pipeline that digitizes Soviet-era geological archives and transforms them into standardized, actionable intelligence. The company extracts coordinates, assays, and structural maps from unstructured documents, normalizes them to the WGS84 coordinate system, and compiles the results into verifiable Prospectivity Reports. These reports rank drill targets on an A/B/C confidence scale, giving exploration teams a clear, evidence-based prioritization of where to drill. This approach compresses what traditionally takes months of asset evaluation into a matter of days, enabling faster and more reliable exploration decisions.
Target Audience
Primary customers are mining and exploration companies operating in Kazakhstan that need reliable, drill-ready targets and faster asset evaluation to support exploration investment decisions.
Features
- Converts unstructured Soviet-era geological data, including coordinates, assays, and structural maps, into standardized WGS84 format
- Produces verifiable Prospectivity Reports that rank drill targets on an A/B/C confidence scale
- Reduces asset evaluation timelines from months to days through a streamlined analytical workflow
- Focuses specifically on Kazakhstan's geological archive landscape, addressing a region-specific data challenge