Every mine is operationally unique — different ore types, mine geometries (open-cut vs. underground vs. in-situ), haul road configurations, equipment fleets from different manufacturers, SCADA infrastructure from different vendors, and operational workflows shaped by decades of site-specific practice. Commercial mining software is built to the lowest common denominator across all mines — forcing mine operations teams to adapt their processes to the software's assumptions rather than getting software that serves their proven operational model. Custom mining software built by Algosoft solves the specific operational problem your mine actually has: a fleet management system that integrates with your specific Komatsu or Caterpillar machine telemetry API, a production scheduling tool that models your mine's actual multi-bench geometry, or a safety observation system that matches your mine's specific hazard taxonomy and site management hierarchy.
Algosoft's mining software development practice combines deep software engineering capability with mining domain knowledge built across 15+ mining software projects covering coal, iron ore, gold, copper, lithium, and quarrying operations. Our mining software technology stack: Python and FastAPI for high-throughput real-time data APIs handling thousands of IoT data points per second, React with D3.js and Mapbox GL for mine site GIS dashboards with equipment position overlays, PostgreSQL with TimescaleDB extension for high-volume time-series sensor data, Apache Kafka for real-time equipment telemetry streaming, OPC-UA and MQTT protocols for SCADA integration, and AWS or Azure cloud with regional deployment for Australian mine sites (ap-southeast-2 Sydney for Australian data residency). On-site deployment options for remote mine sites with limited connectivity: edge computing on mine site hardware with synchronisation to cloud when connectivity is available.
Custom fleet management systems for open-cut mines with haul truck fleets of 10–200+ units. Real-time GIS dashboard showing all equipment positions from GPS telemetry, current assignment (load point → dump point → queue), payload data from onboard weighing systems (OBW), fuel burn rate, and operator identity. Automated dispatch optimisation: shortest-path routing across haul road network with grade and distance weighting, dynamic re-assignment when equipment breaks down, and load balancing across multiple active dig faces. Integration with mine planning blast and bench schedules (importing planned production from Deswik or Surpac). Shift report generation: material moved per shift per equipment unit, BCM (bank cubic metres) vs. target, fuel consumption report, idle time analysis. Mobile interface for field supervisors: assignment override, breakdown reporting, and shift handover on tablet or ruggedised phone. Deployment: on-premise mine site server + cloud synchronisation, or cloud-only for mines with reliable connectivity.
Custom mine production scheduling and planning tools that bridge the gap between mine planning software (Deswik, Surpac, MineSight — which produce pit designs and long-term mine plans) and operational execution. Algosoft builds short-term scheduling tools (weekly/fortnightly scheduling interfaces where mine planners allocate drill patterns, blast events, and dig sequences to operational periods), blast management systems (blast design approval workflows, blast exclusion zone management with GPS radius enforcement, post-blast re-entry authorisation with sign-off chain), and production reporting dashboards that compare actual production (from fleet management system) against mine plan targets in real-time — giving mine managers visibility on variance to plan before the shift ends rather than discovering the shortfall in the morning report. Export interfaces to mine plan tools: Algosoft software can import Deswik CSV/DXF export and return production actuals in formats Deswik mine planning modules consume.
Integrated mine safety management systems replacing paper-based or fragmented safety record systems. Core modules: Hazard Identification and Risk Assessment (HIRA) — risk register with inherent and residual risk ratings, control measures, and review schedules. Incident and Near-Miss Reporting — mobile-first incident submission, initial notifications to mine manager and safety officer, investigation workflow with root cause analysis (5-Why, Bowtie methodology), corrective action tracking, and regulatory notification generation (serious incident notifications to relevant state mining inspectorate within required timeframes). Permit to Work (PTW) system — digital isolation, excavation, hot work, confined space, and working at heights permits with concurrent permit conflict detection. Contractor Management — induction records, insurance document expiry tracking, and site access authorisation linked to completed inductions. Fatigue Management — shift hours tracking with alert triggers at state-regulated thresholds. Safety Observation Reporting — STOP/BBS (Behaviour-Based Safety) observation recording with trend analytics and leading indicator dashboards.
Custom computerised maintenance management systems (CMMS) and predictive maintenance platforms for mine site equipment fleets. Core CMMS capability: equipment asset register with manufacturer specifications, maintenance history, and component lifecycle tracking; preventive maintenance schedule generation (calendar-based and hour/cycle-based triggers from equipment telemetry); work order management (creation, assignment to trades, parts requisition, completion recording); and maintenance reporting (MTBF — mean time between failure by equipment class, maintenance backlog, wrench time analysis). Predictive maintenance layer: real-time equipment health monitoring from OEM telemetry (Caterpillar Product Link, Komatsu KOMTRAX — engine hours, fault codes, oil analysis trends, tyre pressure data), ML models (Python scikit-learn / PyTorch) trained on historical failure data to predict component failures 48–72 hours in advance (haul truck tyre failure, engine overheating, hydraulic cylinder wear), and alert workflow to maintenance planner: proactive part ordering and slot scheduling before failure occurs. Typical unplanned breakdown reduction: 20–35% in year 1 post-deployment.
Custom geology data management systems for mines that have outgrown spreadsheet-based geology workflows but don't require the full complexity of enterprise geology platforms. Core capabilities: drillhole database management (collar, survey, assay, lithology, and geotechnical data — structured storage with validation rules enforcing logging consistency standards), grade control block model visualisation (2D cross-section and plan views of grade distribution from block model data — imported from Surpac, MineSight, or Leapfrog format exports), sample dispatch and laboratory tracking (drill sample dispatch workflow, turnaround time tracking, LIMS integration for assay return — Intertek, ALS, Bureau Veritas), resource and reserve reporting tools (JORC Code 2012 — Australian standard — compliant data room for resource reporting, audit trail of block model versions and estimations), and geological mapping mobile app (geologists record lithology and structural observations in the field on tablet — GPS-stamped, synced to central database on return to connectivity). GIS integration: all geology data viewable on Mapbox satellite imagery with mine plan overlay.
Integrated mine management dashboards giving operations superintendents, mine managers, and general managers real-time visibility across all operational domains — production, safety, maintenance, and geology — in a single interface rather than requiring cross-referencing of multiple disconnected systems. Dashboard capability: live production KPI tiles (tonnes moved vs. target, BCM vs. plan, fuel burn, truck utilisation %, queue time), safety leading indicators (safety observations this week vs. target, overdue corrective actions, active permits to work), maintenance dashboard (fleet availability %, breakdown count, planned vs. unplanned maintenance ratio, critical path maintenance activities), and daily/weekly/monthly operational reports in PDF format suitable for distribution to mine management and parent company executives. Mine manager morning report: auto-generated at 6 AM with previous shift's production actuals, incident summary, equipment availability, and today's production schedule — eliminating the manual morning report compilation task that consumed 45–90 minutes of supervisors' time across most mine operations.
TIER 01
Single Module Solution
$30,000–$55,000
12–16 week deliveryTIER 02
Operations Platform
$65,000–$130,000
20–28 week deliveryTIER 03
Enterprise Mine Platform
$150,000–$350,000
9–18 month deliveryTEAM
Dedicated Mining Dev Team
$18,000–$45,000/month
Ongoing developmentAlgosoft's mining software engineering team has accumulated genuine mining domain knowledge across 15+ projects — understanding mine operational concepts that cannot be explained from first principles to a general software developer without significant time cost. Our team understands the difference between bench production and overall mine production, why payload management matters to haul road design cost, how blast movement affects grade control, why truck queuing at the shovel is the primary productivity bottleneck in most open-cut mines, and how fatigue management software must accommodate the 12-hour rotating roster common in Australian mining. This domain knowledge means Algosoft engineers ask the right questions during requirements gathering, design data models that reflect mining operational reality, and anticipate edge cases that only arise from understanding mine operations deeply — producing mining software that mine operations teams actually use rather than abandoning for spreadsheets.
Remote mine sites — particularly Australian mines in the Pilbara (WA), Bowen Basin (QLD), Hunter Valley (NSW), and Goldfields (WA) — operate with variable connectivity: reliable 4G LTE in accommodation villages and fixed infrastructure, patchy coverage on active haul roads, and zero connectivity in underground headings. Algosoft designs all mine site mobile applications with offline-first architecture: safety observations, incident reports, geological logging, equipment inspections, and permit-to-work forms all work fully offline on field workers' tablets and phones. Data is stored locally (SQLite, Hive) and synchronised when connectivity is restored — with conflict resolution logic for concurrent edits from multiple field users. Web dashboards that need real-time data (fleet management, production) use edge computing on mine site servers to display real-time data locally with cloud replication when connectivity allows — ensuring the mine management room dashboard never goes blank due to satellite or 4G outage.
Mining is fundamentally a spatial industry — every mine operation is located in geographic space, and most operational decisions are informed by spatial context (where is the equipment, where is the active dig face, what is the grade distribution in the current bench, where are the exclusion zones). Algosoft builds geospatial capability into mining software as a core feature rather than an afterthought: Mapbox GL JS for high-performance mine site GIS dashboards (satellite imagery basemap with vector overlays for equipment positions, haul roads, pit boundaries, exclusion zones), GeoJSON and DXF import for mine survey data (pit designs, haul road centrelines, blast pattern layouts from mine planning tools), PostGIS for spatial queries (which equipment is within the blast exclusion radius, what is the distance from each truck to its assigned load point), and WGS84 ↔ mine site local coordinate system transformation (most mine survey data uses site-specific grid coordinates, not standard GPS coordinates — conversion is essential for accurate GIS overlay).
Mine site operational data lives in industrial systems — SCADA historians (OSIsoft PI, AVEVA InTouch, Ignition), PLCs (Rockwell Allen-Bradley, Siemens), and equipment-specific telemetry platforms — that use industrial communication protocols unfamiliar to most software developers. Algosoft's mining software team is experienced with OPC-UA (the dominant modern industrial interoperability standard — used by major mine site SCADA vendors for data exposure), MQTT (widely adopted for IoT sensor data at mine sites — especially for newer IoT-based monitoring deployments), Modbus TCP/RTU (older but still prevalent in Australian mineral processing plants), and PI AF SDK / PI Web API (for reading historian data from OSIsoft PI systems, which are deployed across numerous major Australian mining and mineral processing operations). This industrial protocol expertise enables Algosoft's custom mine software to integrate with existing mine site infrastructure rather than requiring the mine to replace functional operational technology to accommodate a new software system.
Mine safety management systems built for Australian operations must align with Australian state mining safety legislation — which varies by state and commodity. Algosoft's Australian mining safety software incorporates state-specific requirements: NSW (Work Health and Safety (Mines and Petroleum Sites) Act 2013 — requiring specific investigation competency levels for serious incidents, Mine Safety Advisor role in management structure), WA (Mines Safety and Inspection Act 1994 — Safety and Health Management System (SHMS) requirements, Inspector of Mines notification requirements), QLD (Coal Mining Safety and Health Act 1999 / Mineral and Energy Resources Safety Act 2016 — SSE / Mine Manager statutory roles, Safety and Health Management System certification), and SA (Work Health and Safety Act 2012 — underground mine safety-specific obligations). Software is scoped to the specific Australian state where the mine operates — with the option of multi-state compliance for mining companies with operations across multiple Australian states.
Commercial mining software licensing is expensive and rigid. Caterpillar Dispatch: AUD 500,000–2,000,000+ implementation cost plus annual licensing typically exceeding AUD 150,000/year. Wenco FMS: similar investment levels. Modular Mining ProVision: enterprise-grade implementation costs with multi-year licensing commitments. These tools are designed for the largest mining operations — overkill for mid-sized mines with 20–50 truck fleets, and inflexible for operations with specific workflow requirements that don't match the commercial software's model. Algosoft's custom fleet management system built to a mid-sized Australian mine's specifications: $65,000–$130,000 to develop (with perpetual IP ownership, no ongoing licensing), one-time investment vs. perpetual licensing. For mines with specific operational requirements not met by commercial software, custom development delivers better fit, lower total cost, and eliminates vendor dependency in operational-critical systems.
Fleet management systems, safety management software, equipment maintenance CMMS, production scheduling tools, and geology data management — purpose-built to your mine's specific requirements. OPC-UA and MQTT SCADA integration. Caterpillar and Komatsu telemetry API. Offline-first mobile apps for remote mine sites. GIS mine site dashboards. Predictive maintenance ML. Australian mining regulatory alignment. Fixed-price projects from $30,000. Get a mining software scoping quote within 48 hours.
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