HASTE Ai

How it works

Autonomous ingestion to compliant export, in a single pipeline.

CoEngen is Vertical AI for the Mining Industry. Hardware and software agnostic, context-aware, and designed specifically to address today's resource constraints. It reads from the systems you already run, interprets your data in the language your industry expects, and hands the output back to your team to review, refine, and approve. The base model is ready for any custom application; we tailor it to your specific systems, processes, and desired outputs.

CoEngen pipeline: raw mining data flows into a CoEngen Vertical AI processor and exits as a stack of compliant reporting documents.

Data Annotation

Vendor inputs labelled and reconciled at ingestion.

Quality Control

Outputs validated against your domain rules.

Data Metrics

Charts, tables, and traceable references.

How it works

Behind the pipeline, three capabilities off-the-shelf AI doesn't have.

Raw mining data flows in from the platforms your teams already run. CoEngen Vertical AI applies mining-specific interpretation. Compliant reports come out the other side, ready for your experts to review and sign off.

01·Data Annotation

Vendor inputs labelled and reconciled at ingestion.

Every assay, log, and report is normalised against your conventions, units harmonised, mineralogical signatures tagged, vendor variations resolved, before it touches an interpretation.

02·Quality Control

Outputs validated against your domain rules.

Every interpretive output runs through your domain rules and your named expert before publication. Nothing is shipped without a documented sign-off.

03·Data Metrics

Charts, tables, and traceable references.

Every number in the export is back-linked to the run, line, and timestamp it came from and readily auditable, defensible at audit.

Autonomous ingestion to compliant export, in a single pipeline.

CoEngen is mining-specific Agentic AI that sits on top of your existing data systems and turns raw technical data into finished, compliant mining reports.

  1. Raw Data

    CoEngen sits on top of the platforms your teams already run: LIMS, vendor deliverables, pilot-plant logs, Microsoft 365, SharePoint, and project document systems. No migration. No rip-and-replace.

  2. AI Normalization

    Vendor conventions get reconciled. Assay units align. Mineralogical signatures are tagged. The messiness of real-world mining data becomes structured input ready for interpretation.

  3. SME-level Interpretation

    A mining-native Agentic AI applies geological, metallurgical, and process expertise — trained on real mineral test work, not retrofitted from a general LLM — to produce coherent interpretive narrative.

  4. Validation

    Every interpretive output is presented as draft material to your named expert for review, adjustment, and approval. Nothing leaves the system as final without a human sign-off, and the system learns from each iteration.

  5. Compliant Export

    CoEngen exports the documents required by industry standards: NI 43-101 technical reports, ISO 17025-aligned lab deliverables, feasibility-study interpretive narrative, client-facing reports, and proposal-engineering documentation.

Study-phase Full Time Engineer savings, by where you are in the project lifecycle.

Study phaseFull Time Engineer savingsWhat gets compressed

PEA

Preliminary Economic Assessment

0.5–1.5Option-screening interpretation; first-pass economic framing; early mineralogical characterization on inferred resources.

PFS / Scoping

Pre-Feasibility Study

0.5–1.5Early-stage technical and economic analysis, comparison of design options.

FS / DFS

Feasibility / Definitive Feasibility Study

1–3Flowsheet-definition test work interpretation, process-design support, disclosure drafting, scenario comparison.

Detailed Engineering

Post-FS execution

2–5Ore-variability work, vendor-data consolidation, guarantee-backing technical packages.

Full Time Engineer savings escalate with study phase because the review burden escalates. Each phase is a more serious, higher-stakes refinement of the economic forecast and the estimate to build.

Built so your experts, and your auditors, trust the output.

  • Traceability

    Every sentence, table, and figure CoEngen produces is linked to the source data it was derived from. A reviewer clicks from interpretation to evidence without leaving the workflow.

  • NI 43-101 framing

    CoEngen is designed to support the structure, tone, and rigour that NI 43-101 Technical Reports demand. It does not certify your filings (only your Qualified Person can) but it drafts the interpretive content so your QP spends their time reviewing and refining, not starting from a blank page.

  • ISO 17025 alignment

    For mineralogical and testing-services labs, CoEngen output is structured to align with ISO 17025-grade client deliverables: traceable, repeatable, and audit-ready.

  • Data governance

    Your data stays yours with SOC2 compliant servers. Enterprise SaaS deployment with role-based access control, encryption in transit and at rest, audit logging on every interpretive action. Full PIPEDA-aligned privacy posture. We do not train general models on your data.

  • Human oversight, always

    No interpretive output leaves the system as "final" until a named expert on your team approves it, and the expert has full editing controls of each output. This is how the liability math works for a regulated industry.

Deployed alongside your existing stack. Not instead of it.

CoEngen is data, hardware, and software agnostic by design. The base model is ready for any custom application; we tailor it to your specific systems, processes, and desired outputs. Integration typically takes 2–4 weeks from pilot kickoff to first interpretive output against your data. Your IT and data teams support the initial connection. We do not ask them to rebuild anything.

  • Data sources

    LIMS exports, vendor data feeds, pilot-plant logs, project document systems.

  • Microsoft 365 tenancy

    Outlook, Excel, Word, SharePoint, OneDrive for the document-driven portion of study work.

  • Project document systems

    SharePoint, Aconex, OpenText, and equivalents.

See CoEngen against your own data.

The fastest way to know whether this matters to your operation is a structured 4–8 week pilot: your data, your workflow, phase-specific ROI measured against your own baseline.