HASTE Ai · CoEngen
The missing intelligence layer for mining data.
CoEngen is the first Vertical AI model for the Mining Industry, serving as a complementary intelligence layer that takes raw data from your existing platforms and autonomously generates comprehensive, narrative-style geological interpretations, ore body insights, technical recommendations, and fully NI 43-101 compliant economic reports and reviews.
20+ years of AI and software development experience
on the founding team
$700M+ in prior contract execution
in mining and EPCM
Academic partnership with Simon Fraser University
on mining-specific AI and validation methodology
Mining is data-rich and interpretation-poor.
Every lab, every EPCM, every vendor, every operating plant in mining produces structured data at scale. The critical industry constraint lies in the limited senior interpretive capacity required to transform raw data into the detailed geological and process narratives essential for feasibility studies, regulatory disclosures, and high-stakes client deliverables.
That capacity is shrinking, structurally. Manual vendor data normalization creates severe delays across PEA, PFS, FS, DFS, and detailed engineering. 0.5 to 5 full time engineers are consumed per project phase on non-value-added work, and human oversight remains a mandatory, liability-heavy bottleneck. Turnarounds take months, not days.
The 2026 inflection point in Vertical AI is enterprise demand for deeply embedded, mining-tailored systems that deliver hard ROI. Foundational large language models have commoditized general intelligence. They have not solved the regulatory, contextual, and interpretive depth that mining actually needs.
CoEngen does. The base model is ready for any custom application; we tailor it to your specific systems, processes, and desired outputs.
Autonomous ingestion to compliant export, in a single pipeline.
CoEngen is a mining-specific Agentic AI: hardware and software agnostic, context-aware, and designed specifically to address today's resource constraints.
- 1
Raw Data
CoEngen reads from the platforms your teams already run: LIMS, vendor deliverables, pilot-plant logs, Microsoft 365 documents (Outlook, Excel, Word, OneDrive), 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 (Human in the Loop)
Every interpretive output is presented as draft material to your named expert. They review, adjust, and approve. Nothing leaves the system as final without a human sign-off, and the system learns from each iteration.
- 5
Compliant Export
What comes out is the document your industry expects: NI 43-101-compliant technical reports, ISO 17025-aligned lab deliverables, feasibility-study-grade interpretive narrative, client-facing reports, and proposal-engineering documentation.
Delivering concurrent value across the mining ecosystem.
Lab and Testing Services. Engineering and EPCM firms. Mining OEMs. Mining Operations. Same product, four different baselines, one pipeline. The base model is ready for any custom application; we tailor it to your specific systems, processes, and desired outputs.
- Lab & Testing Services
- Engineering & EPCM Firms
- Mining OEMs
- Mining Operations
How the value compounds
Four return streams, stacking against your baseline.
CoEngen is priced against the labour cost of the work it replaces. The return compounds across every study, bid, and client deliverable it touches.
- 1
Stream 1
Direct Full Time Engineer savings.
Every study phase has a baseline interpretive workload your senior staff currently shoulders. CoEngen eliminates the repetitive portion so judgment work stays with your experts.
- 2
Stream 2
Quality control and error reduction.
Manual interpretation accumulates variance across vendors, phases, and teams. CoEngen produces consistent, traceable interpretation with every sentence linked to its source data.
- 3
Stream 3
Study cycle compression.
Interpretation sits on the critical path of every study phase. Shortening that segment compresses the whole timeline — turnaround in days, not months.
- 4
Stream 4
Vendor management, automated.
Reconciling vendor submissions consumes senior technical time. CoEngen automates the comparison and the templating against any client-required format.
What our pilot partners measure.
| Phase | Full Time Engineer savings |
|---|---|
| PEA / PFS / Scoping | 0.5–1.5 |
| FS / DFS | 1–3 |
| Detailed Engineering | 2–5 |
Typical Year 1 ROI: 2–5×.
Payback period: under 3 months.
Measured against the all-in cost of the interpretive and reporting work CoEngen replaces, not against abstract "productivity gains."
Beyond report drafting, CoEngen automates vendor management and multi-vendor comparisons against any client-required template. Your team spends time on strategic thinking and recommendations; the data entry runs itself.
What CoEngen is not.
Not a LIMS.
Existing LIMS platforms structure data and manage Certificates of Analysis. They do not generate interpretive narrative reports. CoEngen sits on top and delivers what LIMS does not.
Not a general-purpose LLM.
General AI hallucinates on mining's unique mineralogical signatures, vendor conventions, and regulated reporting requirements. CoEngen is mining-native from ingestion to output, backed by decades of NI 43-101 reports.
Not a dashboard or anomaly-detection tool.
Those describe what's in the data. CoEngen writes what the data *means* in regulated-grade prose.
Not a rip-and-replace.
CoEngen is complementary, an intelligence layer over the systems clients already run.
Work with an AI partner who understands your business.
HASTE Ai's founding team brings 20+ years of AI and software development experience alongside over $700M+ and 30 years in prior mining operations and EPCM contract execution. CoEngen is the result of that combined depth: purpose-built for mining's data realities by people who have lived them.
Mining-native by design.
Every product decision is made by people with deep mining and project execution experience, not by generalist AI engineers.
Academic partnership with Simon Fraser University.
Ongoing research collaboration on mining-specific AI and the validation methodology behind CoEngen's context-aware interpretation.
Built for regulated output.
NI 43-101 and ISO 17025 compliance posture is foundational, not retrofitted.
See what CoEngen does with your data.
A 4–8 week pilot gives you a working CoEngen deployment against your own test work and project data, phase-specific ROI measured against your own baseline, and a path to multi-year contract if the numbers work.