Cross-experiment knowledge synthesis, maintenance support, a plant-operations copilot over your process data. This is what an AI agent can do inside a mining operation, air-gap capable, with your technical archive never leaving the site.
Start with one workflow that pays for itself, then expand on the same private, governed platform. No new vendor cycle each time.
Connect engineers to the archive of past experiments and studies, surfacing prior findings, parameters and outcomes so teams reuse relevant work instead of repeating expensive studies.
Over failure history, equipment manuals and CMMS work orders: on a failure, retrieve similar cases, the probable root cause and the procedure, and prepare the work order.
Connected to the historian, LIMS and ERP, answer operational questions in natural language, detect deviations, and prepare shift and environmental-compliance reports. Air-gapped.
The knowledge-synthesis workflow above runs in production today inside a Chilean industrial-mining technology company. The other two are illustrative of the same capability. The exact scope is defined with your team.
In mining, expensive knowledge sits in past studies and process data. Surfacing it (and querying it) is where an agent pays for itself.
Agents read your internal archive (documents, manuals, regulations, prior cases) and answer with citations to the source. Private embeddings, served locally inside your network.
Ask your databases in plain language. A fine-tuned local model turns the question into validated SQL. No BI ticket, and no data leaves the network.
Small specialized models handle the repetitive work (classify, extract, validate, summarize) at a fraction of frontier cost, escalating to frontier models only when the task needs it.
Every action is tied to a real user, gated by policy, approved where it matters, and recorded in an immutable audit trail your security and compliance teams can review.
Built for air-gapped operations, with full traceability for safety (Sernageomin) and environmental (SMA) review.
Start with knowledge synthesis over your technical archive, then expand into maintenance and a process-data copilot. All air-gapped, all inside the site.