01
Safety
Fatigue, blind spots and speeding are found after the incident, not before it.
Field evidence · Berau
This is already happening in Berau.
Industrial Mobility Intelligence
A vision for AI-driven operations, prepared for PT Berau Bara Abadi.
The challenge
Fatigue, blind spots and speeding are found after the incident, not before it.
Trips, cycle times and tonnes are reconciled by hand, long after the shift ends.
Oversize coal and coal left in vessels are judged by eye, costing time at the port.
Field evidence · Berau
What we measure
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
Today
With M-Lens
Who we are
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
Workshop install
Rugged brackets
Rear camera, in cab
Blind-spot view in cabThe platform
Fleet management
Live dispatch, cycles and production, from pit to port.
Vision AI
Cameras that measure coal: oversize, residue and speed.
Driver safety
Fatigue and distraction detection with in-cab alerts.
Hauling operations
Hauling management already running at production scale.
Operator app
A simple in-cab companion for every operator.
AI assistant
Ask your mine a question, get an answer with evidence.
Evidence · mDrive
mDrive runs the pre-start check on the in-cab tablet. A unit that fails is stopped before it moves.
Evidence · MineProX
The MineProX driver app runs on RTK positioning and shows speed, location and hauling status live.
Spotlight · M-Lens
Computer vision that turns cameras into measuring instruments for coal.
Our ambition
Built together with BBA, as the partner who shaped it.
The BBA pilot
AI cameras
Coverage clusters
Priority use cases
Flag oversize coal at the hopper before it slows the flow.
Loading activity, the safety perimeter and coal remaining in vessels.
Stockpile condition and the movement of key assets around it.
Final camera layout is confirmed after the joint site survey.
The control room view
Pilot roadmap
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
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
01 · MARKET
Across Kalimantan, much of the jetty and stockpile work still runs on radio, paper and the human eye.
02 · MOMENT
Edge AI hardware is now affordable, and satellite internet reaches remote pits and jetties.
03 · MOAT
Site data, mining experience and local support that outside vendors can’t replicate quickly.
Edge-first and Starlink-ready. Keeps working when the signal drops.
AI reads streams from existing cameras and NVRs.
Hardware, software and support from one Indonesian team.
Buy outright, or pay per unit per month.
Growing together
STEP 01
Run the M-Lens pilot at the BBA jetty and shape the product around real operations.
STEP 02
Extend into fleet, safety and production intelligence across BBA’s operations.
STEP 03
Join Minergo’s journey to scale Indonesian mining technology across the region.
Next step: a joint site survey at the BBA jetty.
Harry H. Syahputra, Chief Executive Officer
PT Minergo Systems · minergosystems.com