Mining & Metals businesses in India, and what technology actually fixes

Real-Time Mine Safety Vision

The problem. Unsafe movement underground and on haul roads, including people in vehicle paths, missing PPE, restricted-zone entry and driver fatigue.

What we build. We would build a computer-vision system for fixed cameras, vehicle cameras or edge devices that detects people, vehicles, PPE and unsafe proximity in near real time. Alerts can reach the control room, supervisor phones or existing incident workflows without sending sensitive video off-site unnecessarily.

What changes. Supervisors see high-risk events while the shift is still running, with searchable evidence for toolbox talks, incident reviews and DGMS follow-up.

You probably need this if: Near-misses are being discovered after the shift, supervisors rely on radio calls to know what is happening, or the same haul-road and underground violations keep recurring.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Predictive Equipment Maintenance Control

The problem. Heavy equipment fails unexpectedly, causing production stoppages, expensive emergency repairs and maintenance decisions based mainly on hours, notebooks and operator intuition.

What we build. We would connect maintenance requests, service history, operating hours and available machine telemetry into automated alerts and work orders. The workflow would prioritise equipment at risk, route jobs to the right team and keep a clear record of parts, downtime and approvals.

What changes. Maintenance teams get earlier warning and a single view of what needs attention before a failure becomes a stranded truck, shovel or crusher.

You probably need this if: Breakdowns are discussed in the morning meeting, planned maintenance is regularly displaced by emergency work, or equipment history is spread across spreadsheets, WhatsApp and paper logs.

Delivered as Workflow Automation & AI Agents from ₹39,999 one-time

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Mine Sensor And Production Data Foundation

The problem. Equipment, fleet, grade, shift and environmental data sits in disconnected SCADA systems, fleet platforms, spreadsheets and contractor reports, making reliable analysis difficult.

What we build. We would build governed data pipelines that bring telemetry, dispatch, maintenance, production and sensor readings into a dependable operational data store. The design would handle intermittent mine-site connectivity, timestamp differences, site-level permissions and audit trails.

What changes. Managers can work from consistent shift and asset data instead of reconciling conflicting reports before deciding what to do.

You probably need this if: Two departments report different production numbers, sensor data is exported manually, or engineers spend more time cleaning files than investigating the cause of lost output.

Delivered as Data Engineering & Warehouse Modernization from ₹1,25,000 one-time

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Environmental Compliance Reporting Workflow

The problem. Environmental reporting depends on manual collection of water, dust, emissions, waste and rehabilitation records, creating late submissions and weak evidence trails for SPCBs, CPCB requirements and internal audits.

What we build. We would automate data collection, validation, exception checks, approval routing and report preparation from monitoring systems, laboratory files and site registers. The workflow would preserve source records, timestamps and reviewer sign-offs for audit and inspection readiness.

What changes. The environment team has a repeatable reporting process with fewer missing records, visible exceptions and a defensible evidence pack when inspectors or corporate teams ask for support.

You probably need this if: Reports are assembled urgently at month-end, missing lab results are found during review, or one person is the only reliable source of historical compliance information.

Delivered as Workflow Automation & AI Agents from ₹39,999 one-time

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Shift Productivity Control Tower

The problem. Productivity per shift is affected by queues, idle time, poor dispatch decisions, delayed blasting or maintenance handovers, but the reasons are rarely visible in one place.

What we build. We would build an operations dashboard around the mine's actual shift cycle, combining dispatch events, cycle times, downtime, availability, delays, manpower and supervisor notes. It would show the reason behind lost time and give shift managers an actionable handover rather than another static report.

What changes. Shift leaders can identify where time was lost, compare planned work with actual work and carry clear actions into the next shift.

You probably need this if: The daily meeting debates whose numbers are correct, shift reports explain only total tonnes, or recurring delays appear without an owner or follow-up action.

Delivered as Custom Software Development from ₹79,999 one-time

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Geological Targeting And Exploration Assistant

The problem. Exploration hit rates suffer when geological maps, assay results, geophysics, drilling logs and historical reports are difficult to search and interpret together.

What we build. We would build a domain-tuned geological AI assistant that indexes approved reports, maps, drill logs, assays and geophysical interpretations, then helps geologists compare targets and retrieve supporting evidence. It would keep the geologist in control, show source references and avoid treating model suggestions as drilling decisions.

What changes. Exploration teams spend less time hunting through old records and can evaluate targets with a more complete view of the evidence available across the lease and mine history.

You probably need this if: Geologists repeatedly search the same archives, valuable historical data is trapped in scanned reports, or target reviews depend heavily on who remembers earlier work.

Delivered as Custom AI Build from ₹2,00,000 one-time

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How do I know if we need real-time mine safety vision?

You probably need this if Near-misses are being discovered after the shift, supervisors rely on radio calls to know what is happening, or the same haul-road and underground violations keep recurring. Once it is running, supervisors see high-risk events while the shift is still running, with searchable evidence for toolbox talks, incident reviews and DGMS follow-up.

How do I know if we need predictive equipment maintenance control?

You probably need this if Breakdowns are discussed in the morning meeting, planned maintenance is regularly displaced by emergency work, or equipment history is spread across spreadsheets, WhatsApp and paper logs. Once it is running, maintenance teams get earlier warning and a single view of what needs attention before a failure becomes a stranded truck, shovel or crusher.

How do I know if we need mine sensor and production data foundation?

You probably need this if Two departments report different production numbers, sensor data is exported manually, or engineers spend more time cleaning files than investigating the cause of lost output. Once it is running, managers can work from consistent shift and asset data instead of reconciling conflicting reports before deciding what to do.

How do I know if we need environmental compliance reporting workflow?

You probably need this if Reports are assembled urgently at month-end, missing lab results are found during review, or one person is the only reliable source of historical compliance information. Once it is running, the environment team has a repeatable reporting process with fewer missing records, visible exceptions and a defensible evidence pack when inspectors or corporate teams ask for support.

How do I know if we need shift productivity control tower?

You probably need this if The daily meeting debates whose numbers are correct, shift reports explain only total tonnes, or recurring delays appear without an owner or follow-up action. Once it is running, shift leaders can identify where time was lost, compare planned work with actual work and carry clear actions into the next shift.

How do I know if we need geological targeting and exploration assistant?

You probably need this if Geologists repeatedly search the same archives, valuable historical data is trapped in scanned reports, or target reviews depend heavily on who remembers earlier work. Once it is running, exploration teams spend less time hunting through old records and can evaluate targets with a more complete view of the evidence available across the lease and mine history.