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GeoMineral AI Insights​

From sample to action-ready insights in hours, not weeks

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AI-first mineral analytics

GeoMineral AI Insights is Hitachi's AI-first analytics platform for mining and mineral exploration. It overlays your existing exploration, analytical and operations data into a single graph-based knowledge model. Your team can then query, visualize, and reason over the unified dataset conversationally, using private LLMs grounded in your own data.

 

The platform combines data federation (your data stays where it lives today, no migration) with a universal semantic layer that establishes a global "truth" the rest of the stack reads from: machine learning, LLM context, dashboards, and decision support. Documented data APIs reach across graph, relational, vector, binary, and our unique in-memory format Hardscape stores, with visualization, model management, and exploration tools layered on top, turning fragmented analytical and exploration data into clear, exploration-ready insight you can defend in front of a board, a regulator, or an investor.

 

Hitachi combines IT and OT to bring AI closer to your operations: connecting laboratory data, geospatial systems, and exploration workflows into a single sovereign platform that delivers accurate insights faster. Only Hitachi can deliver the full stack: the analytical instrument on the bench, the edge compute next to it, the data fabric beneath, the analytics on top, and the infrastructure underneath.

The Four AI Agents

Discovery Agent

 

AI-assisted exploration of your geochemistry and mineralogy data. Ask questions in plain English; the GraphRAG agent walks your knowledge graph and returns interactive visualizations grounded in your own data.

 

 

 

Traceability Agent

 

Trace any sample, lot, or assay result through its full graph lineage in seconds. Built for NI 43-101, JORC Code, and SAMREC Code chain-of-custody and disclosure, and EU Battery Regulation battery-passport provenance for lithium and critical-mineral feedstocks.

 

Dashboard Agent

 

Build dashboards by describing them. Natural-language dashboard creation over your live AMICS, XRF, and LIMS data, with no SQL and no developer involvement.

 

 

 

 

Configuration Agent

 

Onboard new instruments and data sources in minutes, not days. The Configuration Agent reads sample output files and generates the parser and schema mapping automatically.

 

 

 

 

Platform Attributes

Graph-Database
Core

 

Built on a per-customer graph instance over a F.A.I.R. data layer (Apache Arrow and Parquet). Your relationships, your data, your namespace.

 

 

 

AMICS-Native Integration

 

Direct integration with Hitachi AMICS automated mineralogy. Analytical results flow into the graph without ETL, with full provenance preserved.

 

 

 

Regulatory-Ready Reporting

 

Pre-configured templates for NI 43-101, JORC Code, and SAMREC Code reporting. Chain-of-custody, e-signature, and audit trail built in.

 

 

 

 

Apply AI
Confidently

 

Customer-owned models. No training on your data. Private LLMs on-premises or in your chosen cloud. You keep the model and the training data when the engagement ends.

 

 

Transform Analysis into Mineral and Operational Intelligence

Move from manual analysis to exploration-ready insight: faster, more accurately, and at scale.​

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      Move at the speed of AI: Mineral Classification of large mineral datasets in <5 minutes, including reporting.
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      Automatically build a knowledge graph of your entire mineral data system: assay, spatial data, mineral data, and operational data across all sites in one layer.
    •  

      Reduce manual interpretation and report effort with automated and natural language data visualization focus on insight, not processing.
    •  
      Built specifically for the data explorers and miners use: AMICS, XRF, ICP, geochemistry, and your existing LIMS into one explorable system.

    Deploy AI with Full Control Over Your Geological Data​

    GeoMineral AI Insights is built for environments where data sensitivity, control, and governance are critical

    Teams can adopt AI without exposing proprietary geological data and without relying on public models:​

    • Deploy and manage AI models within your own environment, on-prem or in the cloud of your choice
    • Train models on your proprietary geological datasets, and keep them when the engagement ends
    • Use private LLMs for secure, GraphRAG-grounded AI-driven workflows
    • Maintain full data sovereignty and control at all times
    • Export your data at any time in open formats (Apache Parquet, Neo4j dump). No vendor lock-in on what is yours

    Apply AI confidently across your mineral analysis workflows. Only Hitachi can deliver private AI on private data with end-to-end accountability, from the analytical instrument to the model.

    Built with mining, for mining

    GeoMineral AI Insights anchors the Critical Mineral Map of Canada, a public-access mineral-sample database in partnership with the Saskatchewan Research Council and populated automatically from AMICS analyses on Hitachi SU3900 SE microscopes.

     

    Learn more by attending the Canadian Mineral Analysists Conference 2026 September 13-17th in Saskatoon, Sask or the Process Mineralogy ’26 meeting in Cape Town, SA.

    Explore Hitachi's Partners and Other Mining Tools

    GeoMineral AI Insights anchors the Critical Mineral Map of Canada, a public-access mineral-sample database operated by the Saskatchewan Research Council and populated automatically from AMICS analyses on Hitachi SU3900 SE microscopes. The same platform serves contract laboratories, mining OEMs, and process analytical labs across Canada, Australia, South Africa, and South America.

    Make Faster, More Confident Exploration Decisions​

    GeoMineral AI Insights amplifies your expertise with intelligence: helping you turn complex mineral data into faster, more confident exploration decisions.

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