AI for Mining Operations16 Modules

One platform to see your whole mine and make better decisions.

Terrasakti brings the pit, the plant, the port and the office into one system of orderly data. Analytics, machine learning and AI then turn it into answers, forecasts and early warnings. It's built by miners for mining companies of every size, so going digital feels like a step forward, not a disruption.

Running at PT Rajawali Octorys Sundari, a quarry in Sumur, Banten.
app.terrasakti.com/dashboard
Sample Data
OperationsSite Overview
Live

Ore Moved · Today

48,210 t

+6.4%

Fleet Utilisation

91.4%

+2.1 pts

Fuel Variance

0.42%

in band

Crusher Uptime

97.8%

+1.2 pts

Production vs Plan · 12 Weeks

3.42 stripping ratio · on plan

ActualPlan

Attention Required

5
  • HD-1148 tyre wear 82%Plant · position 4
  • Fuel issue without work orderFuel · bay 2 · 14:20
  • Blast BL-2291 recovery −4%Drill & blast · Pit B
  • Filter stock running lowLogistics · WH-01
  • Shift 2 attendance reconciledPeople · 642 records

Shift 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

428,600 L100% work-order matched

Everything in one platform

Open PitUndergroundDredge & AlluvialQuarry & WeighbridgeDrill & BlastHaul FleetCrushing PlantProcessingWashing PlantFuel LogisticsWorkshopWarehouseCamp & RosterMaterial SalesBarge & VesselHSE & Compliance
The problem

Most mines run on a patchwork, and nobody sees the whole picture.

Production lives in a spreadsheet. Fuel is on paper. Maintenance has its own app, the books sit in the ERP, and everything else moves through WhatsApp. Each tool sees one slice of the mine. By the time the slices are stitched together for the monthly report, the moment to act has passed.

It's the third of the month. Finance is still chasing the fuel recap, the barge invoice doesn't match the stockpile, and nobody can say why week two came in short.

Where the numbers get lost

Fuel

Issued on paper and reconciled once a month, by which time the missing litres are written off.

Maintenance

A planned service stops on the day because the part was never in the warehouse.

Drill and blast

Poor fragmentation slows the excavators, and nobody can trace it back to the pattern.

Sales and shipping

Sold tonnes sit in one spreadsheet, produced tonnes in another, and the barge is priced in a third.

People

Attendance is copied by hand into payroll, and the mistakes show up on payday.

Reporting

The monthly pack takes a week to build and is out of date the day it arrives.

Why Terrasakti

Everything you need to run a mine on data, in one place.

Terrasakti replaces the patchwork with a single platform that covers the whole operation, from the first load of the shift to the board report. Three things set it apart.

Orderly data, everywhere

Production, fuel, equipment, stock, sales, people and compliance, for every site, entered once and checked as it arrives. The supervisor, the manager and the owner all look at the same numbers.

Decide better, sooner

AI and machine learning read your operation's history and point you to what matters: where the month will land, which figure is drifting, and the answer to the question you just asked.

Digital transformation made easy

Start with one module, on forms built for the end of a shift. We move you off paper together with your team, step by step, without stopping the pit.

From orderly data to AI

Orderly data first. Then analytics, machine learning and AI.

AI is only as good as the data under it. Terrasakti gets the data right where the work happens, then builds every layer of intelligence on top of it.

  1. 01

    Orderly data

    Recorded once, at the source

    Every load, litre, hour and sale is entered on site against the right machine, block, shift and licence, and checked as it arrives.

    • Checked at entry
    • One record per event
    • Traced to the shift
  2. 02

    Analytics

    Every figure, as it happens

    Plan against actual, cost per BCM, stripping ratio, availability and stock update as the work is recorded, for every site and the group.

    • Plan against actual
    • Cost per BCM
    • Site by site
  3. 03

    Machine learning

    Models that learn your mine

    Forecasts are tested against your own past months, and the model that predicted your mine best projects the month. Variance checks surface the gaps.

    • Month-end forecasts
    • Model chosen per mine
    • Loss detection
  4. 04

    AI

    Answers in plain language

    Ask Terra answers questions from your own data with the source under every figure, and early warnings reach the right person while there's still time.

    • Ask Terra
    • Early warnings
    • Sources cited
Analytics and Machine Learning

See where the month will land, while there's still time to change it.

Dashboards update as the work is recorded. Forecasting models, tested against your own mine's history, project every key figure to month end, and variance checks point to where the losses are.

app.terrasakti.com/forecasts
Sample Data

Month-End Forecast · Ore Moved

412,600 t plan 405,000 t

Model Chosen by Backtest

Variances to Review

3

fuel · 2, stock · 1

Forecast vs Plan

+1.9%

month end

Fuel Variance

0.42%

in band

Throughput by Crushing Line · Last 14 Shifts

  • Forecasts that learn your mine

    Production, stripping ratio, fuel, explosives and cost per BCM are projected to month end by the model that has predicted your own mine best.

  • Loss and variance detection

    Measured fuel, deliveries, stock counts and surveys are checked against what was recorded, with the biggest gaps listed first.

  • Early warnings

    Set a threshold on any KPI, and the person responsible is alerted as soon as it's crossed.

  • Plan against actual

    Tonnes, BCM and stripping ratio against the monthly plan and the RKAB, by pit, by site and for the group.

  • Equipment health

    Availability, MTBF, MTTR, tyre wear and inspection history, worked out from the records your planners already enter.

  • Report packs

    PDF and Excel packs go out on a schedule, so the report is in the inbox before anyone has to ask for it.

Artificial Intelligence

Ask your mine a question. Get the answer with its source.

Ask Terra is an AI analyst inside Terrasakti. Type a question the way you'd ask your mine manager, and it answers in seconds from your own data: the same orderly records every other layer is built on.

Ask Terra, in plain language

  • How much overburden did we move this month compared to plan?
  • Which units had the most breakdown hours last week?
  • What is our fuel per BCM this month, by pit?

Ask Terra is available as an add-on.

app.terrasakti.com/plant
Sample Data
Which units had the most breakdown hours last week?

Looked up: Breakdown Reports

HD-1148 lost the most time last week: 31.5 breakdown hours across 4 events. Covers 13–19 Oct, all sites.

UnitHoursEvents
HD-1148 · Haul truck31.54
DZ-0417 · Dozer22.02
EX-2201 · Excavator9.53
SourcesBreakdown ReportsEquipment
Ask about production, fleet, fuel, sales…

Ask Terra only reads your data. Check important figures on the linked pages.

  • Every figure from a lookup

    Ask Terra doesn't guess. Each number comes from a query on your data, and the sources sit under the answer.

  • Sees only what you can see

    It works under your login: your modules, your sites, your company. A screen you can't open is a screen it can't read.

  • It only reads

    It can't create, change or approve a record, and personal records such as payroll and medical data are out of its reach.

  • Your language, your terms

    Ask in Bahasa Indonesia or English. BCM, ROM, overburden, PA and UA mean what they mean on your site.

Modules

16 modules, one set of orderly data.

Each module has its own forms, reports and permissions, and every one of them feeds the same analytics, forecasts and AI. Start with the module you need, and add the next when the first is in daily use.

How it works

One tonne, followed from the face to the invoice.

A tonne of material passes through a dozen hands before it becomes revenue. In Terrasakti it's entered once, and every department picks it up from there.

  1. 01

    The pit

    The supervisor records the load at the end of the shift: which excavator, which truck, which block. The drilling, blasting and fuel for that block sit on the same record.

    Shift record
  2. 02

    The plant

    The machine that moved it keeps its own history of hours, inspections, breakdowns, tyres and parts. A service is planned against the stock that's actually on the shelf.

    Equipment history
  3. 03

    The sale

    At a quarry, the weighbridge ticket becomes the sale. A barge is priced from its draft survey, its CoA and the HBA or HPM, with the royalty worked out beside it.

    Sale and royalty
  4. 04

    The office

    Payroll uses the attendance taken on site. RKAB, reclamation and safety figures add up by licence. The owner sees all of it on one dashboard, with the forecast to month end beside the actuals.

    Owner's dashboard

Every module works from the same data. Start with the one that hurts most, and add the next when the first is part of the daily routine.

Built for any mining company

A coal pit and a quarry don't measure success the same way.

Terrasakti is set up for what each site actually mines: how it mines, the unit it reports in, the basis it sells on and the grades it assays. The seven below are ready to start from, and another commodity is the same setup.

Open PitUndergroundAlluvial & DredgeQuarryWashing Plants
Open Pit
BCM · Wet Basis

Coal

Stripping ratio every shift. Barges priced from the HBA and the CoA, royalty alongside.

Grades CV (GAR), total moisture, ash, sulphur

Open Pit
Tonnes · Dry Basis

Nickel Laterite

Grade control from block to stockpile. Shipments priced from the HPM on a dry basis.

Grades Ni, Fe, moisture

Open Pit
Tonnes · Dry Basis

Bauxite

Wash-plant runs update the stockpile ledger, with yield on every run.

Grades Al₂O₃, reactive and total silica, Fe₂O₃, LOI

Open Pit
Tonnes · Dry Basis

Manganese

Drill and blast, washing and assays on one ledger, from the face to the barge.

Grades Mn, Fe, SiO₂, P

Open Pit
Tonnes · Wet Basis

Gold Mining

Pit to ROM pad, then crushing and the wet plant. Leaching isn't included.

Grades Au, Ag, As

Alluvial
m³ · Wet Basis

Alluvial Tin

Dredge hours and slurry, then concentrate from sluice to shaking table, with recovery worked out.

Grades Sn in feed and concentrate

Quarry
Tonnes · Wet Basis

Quarry & Aggregate

Each truck weighed once. The ticket becomes the sale, and gradation is checked against the spec.

Grades Fines, LA abrasion, flakiness, moisture

Several licences, one group view

Each IUP runs as its own site. Head office sees them side by side, and a site login sees only its own. Tonnes of different commodities are never added together.

Each licence's RKAB is tracked against production and sales, month by month. Smelting and gold leaching aren't part of the product.

About Terrasakti

Built by people who have run the shift, not just studied it.

Terrasakti was founded by mining professionals with long careers across many commodities and at mining companies of every size. We know the pit at the end of a night shift, and we know the meeting where the month's numbers get questioned.

That's what we're good at: understanding a problem the way the field sees it, and turning it into something the owner, the finance team and the regulator can act on. Terrasakti is that translation, built into software.

  • Field first

    Every form is written for the person filling it in at the end of a shift. If a supervisor can't answer it from the bench, it isn't on the form.

  • Any commodity, any size

    Each site is set up for what it mines and how it reports, from a single quarry to a group with several licences.

  • Made for Indonesia

    IUP, RKAB, HBA, HPM and royalty work the way they do here, and our team speaks Bahasa Indonesia and English.

Success stories

Mining companies already running on Terrasakti.

RAOS

PT Rajawali Octorys Sundari

Andesite quarrySumur, Pandeglang, Banten

A quarry in Banten, from paper to AI-ready analytics.

PT Rajawali Octorys Sundari runs an andesite quarry in Sumur, Banten. When we started, the operation ran on paper: records were written by hand on site and put together later in the office.

We digitalised the whole operation with them, from the ground up. First the paper became orderly digital entries made on site. Then those entries became the reports management reads. Today the analytics run on the quarry's own history, because for the first time there is one.

  1. Paper

    Handwritten on site, compiled later in the office

  2. Digital

    Entered on site, checked as it arrives

  3. Analytics

    Reports and forecasts from the quarry's own history

Getting started

Digital transformation, one step at a time.

We don't ask you to change the whole operation at once. Each step is useful on its own, and the pit keeps working throughout.

  1. Step 1

    Set up the operation

    Licences, pits, equipment and crews, in your own names and units.

    • Licences and site profiles
    • Equipment register
    • Roles and access
  2. Step 2

    Go live with one module

    Most sites start with production or fuel, where the loss is easiest to see. We train the supervisors first, and the module stays off until the crew is ready.

    • Shift entry live
    • Daily reconciliation
    • Supervisor training
  3. Step 3

    Bring in the next department

    Plant, logistics, people and sales join one at a time, on the same data.

    • Maintenance linked to stock
    • Roster linked to payroll
    • Sales matched to production
  4. Step 4

    Switch on the intelligence

    Once there's history to learn from, the forecasts, the early warnings and Ask Terra start working for you.

    • Month-end forecasts
    • KPI alerts
    • Ask Terra

Pricing

Every operation is different, so pricing depends on your sites and the modules you need. Talk to us, and we'll put together a first step that fits.

Your data

Every number has a name and a time on it.

It's yours

You own your data and can export it whenever you want.

It's kept apart

Each company's data is stored separately from every other company's.

Access by role

Access is set by role and by site. Approving is a separate permission, so nobody signs off their own work.

Every figure traced

Each entry records who made it and when, so any number leads back to the shift it came from.

Works on a weak signal

The forms are light, and fuel sheets entered offline send themselves when the connection returns.

Common questions

Questions we hear most.

Do we need data scientists to use the AI?

No. The forecasts run on their own, and Ask Terra takes questions in plain language. If you can ask your mine manager a question, you can ask Terra.

Do we have to take every module at once?

No. Start with one, such as production or fuel. Every module shares the same sites, equipment and people, so adding the next one later is straightforward.

Does it replace our ERP?

No. Your ERP keeps the accounts. Terrasakti covers what happens on the ground: blocks, shifts, equipment and work orders. Figures move between the two by export.

How long does a rollout take?

It depends on the first module and how ready your site data is. In the walkthrough we'll sketch a realistic plan for your first 90 days.

Will supervisors really use it at the end of a shift?

That's the moment the forms were written for. They're short, they check entries as they're typed, and they ask only what a supervisor already knows.

Can we see it before we commit?

Yes. The walkthrough uses your commodity and sample figures that look like yours, and you speak with the people who build it.

Talk to us

Let's look at your mine together.

Book a 30-minute walkthrough. We'll show Terrasakti on figures like yours, ask Terra a few of your own questions, and sketch a sensible first step toward running your mine on data. You'll be speaking with the people who build it.

What the session covers

  • A 30-minute walkthrough focused on your site and priorities
  • A practical example using sample production, fuel, or payroll data
  • A live look at how Ask Terra answers operational questions
  • A step-by-step rollout plan, starting with what matters most
  • A chance to speak directly with the team building Terrasakti
Where should we start? (optional)

By sending this form, you agree that we may contact you about Terrasakti. We do not share your details.

No commitment

See your whole mine on one screen.

One platform for production, fuel, maintenance, sales, people and compliance, with AI and machine learning built in. Tell us about your operation and we'll show you what it looks like on Terrasakti.

We reply within one business day