Diesel is issued on paper, reconciled monthly, and the variance is written off.
Every receipt, restock and refuel is bound to equipment, operator and work order, so the balance closes daily instead of quarterly.
Production, drill & blast, plant, processing, fuel, logistics, people and sales — captured at the face, reconciled automatically, and reported before the shift ends.
Ore moved · today
48,210 t
Fleet utilisation
91.4%
Fuel variance
0.42%
Crusher uptime
97.8%
Production vs plan · 12 weeks
3.42 stripping ratio · on plan
Attention required
5Shift progress · today
3 crews| Crew AlphaPit A · Bench 940 | 14,120 t | |
| Crew BravoPit A · Bench 925 | 12,480 t | |
| Crew DeltaPit B · Bench 880 | 9,940 t |
Fuel issued · last 14 days
Instrumented across the full mining value chain
Most mines already have the data. What they don't have is one place where production, maintenance, finance and HR are looking at the same row.
11
Integrated modules
Production, drill & blast, engineering, plant, processing, fuel, logistics, HR, sales, analytics and admin — one schema, one login.
Shift
Reporting granularity
Every tonne, litre, hour and work order is captured against a shift, a crew and a piece of equipment.
Zero
CSV handoffs
Operations, maintenance, finance and HR read the same records. No exports, no reconciliation meetings.
24/7
Live operating picture
Dashboards stream from the same tables your crews write to, so leadership sees the pit as it is right now.
Figures describe the platform, not a customer average — every one is verifiable inside a demo tenant.
Terrasakti is organised the way a mine is actually run — the pit, the plant, and the business behind them. Each hub is a full workspace, and they all read from the same tables.
Ore and overburden, stripping ratio, blast recovery and fleet productivity reconcile against the plan continuously — not in a monthly review deck.
Ore moved
18,420 t
+4.1% vs plan
Overburden
62,970 bcm
−1.8% vs plan
Stripping ratio
3.42
on plan
| Pit A — Bench 940Shift 1 · Crew Alpha | 6,210 t |
| Pit A — Bench 925Shift 1 · Crew Bravo | 4,980 t |
| Pit B — Bench 880Shift 2 · Crew Delta | 3,120 t |
| Pit C — Haul roadShift 2 · rain delay 90m | 1,845 t |
Every module ships with its own reporting, its own permissions and its own capture forms — and none of them keep a private copy of your data.
The loop that used to take a month — capture, reconcile, analyse, act — closes inside a single shift.
Plans, work orders, attendance, refueling and inspections are recorded where the work happens.
Shift recordsProduction, engineering, plant and fuel data are cross-validated against work orders, equipment and shifts.
Matched ledgerCost, revenue, throughput and risk surface as live KPIs and forecasts instead of month-end findings.
Live KPIsAlerts route to the crew that owns the asset, so decisions move from boardroom to bench in minutes.
Routed actionsEvery transaction the mine generates lands in one analytics layer — ready for forecasting, anomaly detection and decision support. No exports, no shadow spreadsheets, no waiting for month-end close.
Production forecast · next 6 months
1.82 Mt P50 · ±4.1% band
Anomalies flagged
3
fuel · 2, stock · 1
Forecast accuracy
94.2%
trailing 90 days
Risk score
Low
weather-adjusted
Throughput by crushing line · last 14 shifts
OEE, MTBF, MTTR and shift productivity computed on live operational records.
Cross-module correlations that show where the bottleneck actually lives.
Forecast tonnage and stripping ratio with confidence bands and scenario toggles.
Predictive signals drawn from equipment health and inspection history.
Catch fuel siphoning, payroll anomalies and inventory shrink while they are small.
Reorder timing tied to real consumption and supplier lead-time risk.
Six places where a mine loses money quietly, and what closing the handoff actually looks like.
Diesel is issued on paper, reconciled monthly, and the variance is written off.
Every receipt, restock and refuel is bound to equipment, operator and work order, so the balance closes daily instead of quarterly.
A planned service stalls because the part was never actually in the warehouse.
Maintenance plans read live inventory and open purchase orders, so an unbuyable work order is caught at scheduling.
Blast performance is judged on feel, and poor fragmentation quietly taxes the crusher.
Design, hole records, recovery and fragmentation distribution are scored against the plan for every blast.
Sold tonnage and produced tonnage live in different spreadsheets and never quite agree.
Sales records reconcile against production and processing tonnage inside the same system before reporting.
Attendance is re-keyed from site sheets into payroll, and errors only surface on payday.
Roster, attendance, pay rates and payroll are a single chain with validation at each step.
The monthly pack takes a week to assemble and is out of date the day it lands.
Reports are views over live records, so the pack is a permalink rather than a rebuild.
No twelve-month big-bang migration. Each phase leaves the operation better off on its own, and nothing goes live until the crews can run it.
Foundation
We model your pits, benches, equipment register, crews and cost centres so the system speaks your site’s language on day one.
First value
Usually production or fuel — the surfaces where variance is largest and the payback is easiest to see.
Integration
Plant, logistics, HR and sales come online against the register you already trust, closing each handoff in turn.
Intelligence
With clean operational history in place, forecasting, anomaly detection and risk scoring have something real to work with.
Not a generic ERP with a mining skin. The data model starts at the block, the shift and the work order.
Start with the module that hurts most. Each one is useful alone and compounds as the next goes live.
Forms that a supervisor can finish on a tablet at end of shift, without training in accounting.
Exports, APIs and structured data so finance, fleet telemetry and BI keep the tools they already use.
A mine site can't afford guesswork about who changed what. Terrasakti is engineered with the controls finance, safety and IT expect from production software.
Role-based permissions are enforced per module and per action, with every mutation validated before it lands.
Built-in anomaly detection watches fuel, payroll and inventory for the patterns that precede real losses.
Records carry who entered them, when, and against which shift — so a number can always be traced to its source.
The platform moves every month. Here's what has landed across the modules.
Inventory, purchase requisitions, purchase orders and goods receipt notes now sit together as one warehouse backbone.
Score every blast against its design with image-based fragmentation distribution and recovery deltas.
Throughput, downtime and energy consumption now plot on a single timeline for the crushing line.
Tie every refuel to a work order, equipment and operator, and detect variance against plan as it happens.
Plans, assignments, daily records and meal types — purpose-built for remote site logistics.
Production forecasting now exposes confidence bands and scenario toggles in the analytics workspace.
No. Each module stands on its own and shares the same asset, site and people registers. Most operations start with production or fuel, then extend along the chain as the value becomes obvious internally.
An ERP is built around ledgers and documents. Terrasakti is built around the mine cycle — blocks, benches, shifts, equipment and work orders — and reconciles into commercial reporting from there. The two coexist: operational truth here, statutory accounting where it already lives.
That is the design constraint. Capture forms are short, validated, and scoped to what a supervisor already knows. If a field cannot be filled from the bench, it does not belong on the shift form.
The platform is built for intermittent links: capture is lightweight, payloads are small, and reporting is read-optimised so a thin satellite connection is enough for the pit to stay in sync with head office.
Access is role-based per module and per action. A crew supervisor, a maintenance planner, a payroll officer and a general manager each see a different system built from the same records.
Always. Structured exports and API access are part of the platform, not a paid add-on. Your operational history stays yours.
Tell us about your site and we'll build the walkthrough around it — the modules you care about, on data that looks like yours.
Start with the module that hurts most and grow along the chain. We'll show you what the first ninety days look like on your site.
No procurement cycle required to see it working