Industrial Mobility Intelligence
Mining,
made visible.
A vision for AI-driven operations, prepared for PT Berau Bara Abadi.
The challenge
Mines run on data they see too late.
Safety
Fatigue, blind spots and speeding are found after the incident, not before it.
Production
Trips, cycle times and tonnes are reconciled by hand, long after the shift ends.
Stockpile & jetty
Oversize coal and coal left in vessels are judged by eye, costing time at the port.
Field evidence · Berau
This is already happening in Berau.
What we measure
Four numbers, measured from day one.
Today these are estimates. In the pilot, every one is measured, with photo evidence.
Vessel waiting time caused by delays
Feeder and conveyor stoppages
Oversize coal flagged at the hopper
Coal left in the vessel per shipment
Before and after
A day at the jetty, two ways.
Today
- Oversize spotted by eye, often too late
- Blocked feeder cleared by hand at night
- Vessel residue estimated after departure
- Shift report compiled the next morning
With M-Lens
- Oversize flagged on camera before the hopper
- Alert raised before the feeder blocks
- Residue measured, with photo evidence
- Live dashboard, every shift
Who we are
Born on site, not in a lab.
An Indonesian mining-technology company: rugged hardware, edge AI and software, in one platform.
Field-proven. Cameras and in-cab systems installed on 789-class haul trucks.
Full stack. Hardware, connectivity, edge AI and software from one team.
Mining DNA. Led by people who have run mine operations.
Industry voice. Our CEO joined the AI & Automation panel at Indonesia Smart Mining Conference 2025.
In the field
We install it, test it and stand behind it.
Workshop install
Rugged brackets
Rear camera, in cab
Blind-spot viewThe platform
One platform, from cab to control room.
Sense
- MDVR & dashcams
- Fatigue sensors
- RTK GPS units
- AI cameras
Connect
- LTE where available
- Starlink-ready
- Edge server on site
- Offline, syncs later
Understand
- MineProX fleet logic
- M-Lens vision AI
- MIA assistant
- Analytics engine
Act
- Live dispatch
- Safety alerts
- Production reports
- Executive dashboards
The product suite
Six products, one mission.
MineProX
In buildFleet management
Live dispatch, cycles and production, from pit to port.
M-Lens
Pilot-readyVision AI
Cameras that measure coal: oversize, residue and speed.
MSafeProX
Client trialDriver safety
Fatigue and distraction detection with in-cab alerts.
MHaulPro
In operationHauling operations
Hauling management already running at production scale.
mDrive
Live demoOperator app
A simple in-cab companion for every operator.
MIA
R&DAI assistant
Ask your mine a question, get an answer with evidence.
Evidence · MSafeProX
Already watching over drivers at a client site.
Fatigue, distraction and safe-distance alerts from in-cab cameras, reviewed in one control room.
LIVE
LIVELive client trial · device identifiers masked
MSafeProX · Fatigue detection
Eyes closed for 1.5 seconds. The cab knows.
An in-cab camera reads eye openness in real time. When it drops too long, the driver is alerted and the control room gets the clip.
Evidence · mDrive
Already in the operator’s hands.
mDrive runs the pre-start check on the in-cab tablet. A unit that fails is stopped before it moves.
- Shown live at Minerba Convex
- Built by Minergo’s R&D team
Evidence · MineProX
Every unit, located to the lane.
The MineProX driver app runs on RTK positioning and shows speed, location and hauling status live.
- RTK-grade positioning
- Live speed and hauling status
- Road-tested by our R&D team
Product preview · MineProX
Wall mode: the control room, on autopilot.
LIVEWall mode tours the busiest loaders, queues and alerts on its own · product preview on the MVP roadmap, demo data
Spotlight · M-Lens
Eyes on every tonne.
Computer vision that turns cameras into measuring instruments for coal.
- Coal oversize detection
- Remaining coal in vessel
- Speed & safe-distance monitoring
Our ambition
The first AI-native jetty in Berau.
Built together with BBA, as the partner who shaped it.
The BBA pilot
A pilot blueprint for the BBA jetty.
AI cameras
Coverage clusters
Priority use cases
Hopper & dump trucks
Flag oversize coal at the hopper before it slows the flow.
Jetty edge
Loading activity, the safety perimeter and coal remaining in vessels.
Stockpile & assets
Stockpile condition and the movement of key assets around it.
The control room view
What BBA sees, every shift.
Pilot roadmap
From survey to sign-off.
- Survey
- Requirements
- Procurement
- Mobilisation
- Installation
- Development
- Fine-tuning
- UAT
Success criteria
Agreed accuracy targets for oversize detection and coal remaining in vessels, signed off by BBA at UAT. Targets are agreed after the joint survey.
The market
Every tonne is a data point waiting to be seen.
Indonesian coal produced in 2025
of Indonesia’s coal comes from Kalimantan
Indonesian coal production, million tonnes
Source: ESDM, via Bisnis.com and Databoks; Kalimantan share via Indonesia Miner.
The opportunity
Why now, and why Minergo is well placed.
01 · OPPORTUNITY
Room to digitise
Many jetty and stockpile checks across Kalimantan still rely on manual observation and radio.
02 · MOMENT
The tech now fits the site
Edge AI hardware has become more affordable, and satellite internet now reaches remote pits and jetties.
03 · OUR STRENGTH
Built from field experience
Site experience, local support and a willingness to build alongside our clients.
Growing together
Three ways to grow together.
STEP 01
Design partner
Run the M-Lens pilot at the BBA jetty and shape the product around real operations.
STEP 02
Co-development
Extend into fleet, safety and production intelligence across BBA’s operations.
STEP 03
Strategic partner
Join Minergo’s journey to scale Indonesian mining technology across the region.
Let’s make Berau visible.
Next step: a joint site survey at the BBA jetty.
Harry H. Syahputra, Chief Executive Officer
PT Minergo Systems · minergosystems.com