Industries / Materials

Mining & Metals

Materials · Diversified Metals & Mining · Steel · Precious Metals · Aluminum

Industry Overview

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Mining & Metals works deposits that are only ever partly known, runs equipment that fails far from any workshop and sells into prices set elsewhere, under closure obligations that outlive the mine. Across various engagements in multiple geographies, iFortis Worldwide has engineered intelligence into Orebody Knowledge Intelligence, Furnace Yield Intelligence, Concentrator Recovery Intelligence, Smelter Energy Optimization, Haulage Fleet Optimization, Mine Maintenance Intelligence, Mine Safety Intelligence, Tailings Risk Intelligence, Metals Trading Intelligence and Resources Digital Workforce, always above deterministic plant control and certified ground and tailings governance.

Key impacts

  • Orebody Knowledge Intelligence. Block models were rebuilt on long cycles, so the plant was fed material the model no longer described.
  • Furnace Yield Intelligence. Charge decisions rested on operator judgement, with chemistry corrected after the heat had been tapped.
  • Concentrator Recovery Intelligence. Reagent dosing followed fixed rules that ignored hour by hour changes in feed grade and mineralogy.
  • Smelter Energy Optimization. Power was bought and consumed on standing schedules disconnected from tariff windows and pot line condition.
A wheel loader filling a haulage truck at a quarry
Sector
Materials
Industry group
Materials
Sub-industries
Diversified Metals & Mining, Steel, Precious Metals, Aluminum

Our Experience & Impact.

Engineered with intelligence. Measured by outcomes.

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Years On The Bench

Senior engineers who have run production systems before, not learned on yours.

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Programmes In Production

Transformation programmes taken past pilot and into daily operation.

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Specialists Under One Standard

One delivery standard, whoever is on the engagement.

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Solutions Running Live

Built, deployed and still operated by us after handover.

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Systems Connected

Core platforms and data estates joined into one governed architecture.

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Governed Agents In Service

Each with an identity, a permission set and a human who owns it.

0K+
Hours Codified Into Assets

Work turned into assets the next engagement starts from.

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Markets Under Delivery

Delivery, data residency and support where the business actually operates.

24×7
Continuous Operations

Engineering and managed operations that follow the working day around.

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SDGs Mapped To Delivery

Every engagement mapped against the Sustainable Development Goals.

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iFortis Worldwide® AI Native Enterprise Framework

From Enterprise Vision to Autonomous Operations.

STAGE 01Envision01020304050607080910

Stage 01 · Envision

Define business ambition and transformation outcomes.

Establish enterprise strategy, AI vision, value cases, governance objectives, and success metrics aligned with business priorities.

Outputs

  • Enterprise Vision
  • AI Strategy
  • Business Case
  • Transformation Roadmap

Trending solutions

The AI Native solutions engineered for Mining & Metals, each with its recorded outcome and the full story to read

Orebody Knowledge Intelligence

Diversified Metals & Mining

Geostatistical and vision models connected drill logs, assays and sensor data into a continuously updated block model.

28% less grade variance at the mill

Furnace Yield Intelligence

Steel

Process models connected charge mix, furnace telemetry and quality results to hold tap chemistry on target.

17% lower alloy cost per tonne

Concentrator Recovery Intelligence

Precious Metals

Soft sensors connected feed grade, reagent dosing and froth vision to steer flotation towards recovery targets.

15% higher concentrate recovery

Smelter Energy Optimization

Aluminum

Optimisation agents connected pot line conditions, power tariffs and production targets into hourly energy plans.

18% lower energy cost per tonne

Haulage Fleet Optimization

Diversified Metals & Mining

Dispatch agents connected truck telemetry, shovel availability and route conditions to rebalance haulage assignments continuously.

21% more tonnes moved per operating hour

Mine Maintenance Intelligence

Steel

Failure models connected fleet telemetry, oil analysis and work history to plan component change before breakdown.

26% less unplanned equipment downtime

Mine Safety Intelligence

Precious Metals

Vision and language models connected incident reports, proximity data and permits to flag recurring exposure patterns.

42% more hazards closed before escalation

Tailings Risk Intelligence

Aluminum

Monitoring agents connected piezometer, satellite deformation and rainfall data into continuous dam stability signals.

55% faster detection of stability anomalies

Metals Trading Intelligence

Diversified Metals & Mining

Forecasting agents connected production plans, freight positions and price curves to time hedging and shipment decisions.

23% improvement in realised margin

Resources Digital Workforce

Steel

Governed digital workers connected procurement, invoice matching and compliance reporting with defined human escalation.

2.9x more transactions processed per person

Engineering technology stacks used

Everything engineered across the Mining & Metals engagements, summarised by layer of the enterprise stack

AI and machine learning15

  • Geostatistical models
  • Computer vision
  • Froth image analysis
  • Gradient boosting
  • Time series forecasting
  • Survival models
  • Reinforcement learning
  • Mixed integer optimization
  • Digital twin models
  • Anomaly detection
  • Edge inference
  • Satellite imagery models
  • LLMs
  • Retrieval augmented generation
  • Agent frameworks

Data12

  • Kafka
  • Spark Streaming
  • Process historian
  • InfluxDB
  • TimescaleDB
  • Delta Lake
  • Databricks
  • Snowflake
  • Apache Iceberg
  • Vector database
  • Airflow
  • pgvector

Databases10

  • PostgreSQL
  • PostGIS
  • MongoDB
  • Cassandra
  • ClickHouse
  • Redis
  • DynamoDB
  • Neo4j
  • Milvus
  • Oracle

Backend7

  • Python
  • Java
  • Go
  • C++
  • .NET
  • Rust
  • Scala

Frontend5

  • React
  • Angular
  • Vue
  • Next.js
  • TypeScript

Cloud6

  • Azure
  • AWS
  • Google Cloud
  • Kubernetes
  • Hybrid cloud
  • Edge computing

Integration8

  • OPC UA
  • MQTT and IoT ingest
  • REST
  • gRPC
  • Event driven
  • API gateway
  • Webhooks
  • EDI

DevOps12

  • Terraform
  • Ansible
  • Docker
  • Helm
  • ArgoCD
  • GitLab CI
  • Jenkins
  • Prometheus
  • Grafana
  • ELK
  • OpenTelemetry
  • Datadog

Analytics4

  • Power BI
  • Tableau
  • Superset
  • Metabase

Security8

  • mTLS
  • SSO
  • OAuth2
  • IAM
  • Zero Trust
  • SIEM
  • Vault
  • Audit logging

Explore the full stack

Case studies across the sector

Learn how AI Native Technology is applied across the Materials sector, one engagement from each industry

Mining & Metals

Orebody Knowledge Intelligence

28%less grade variance at the mill

higher mill throughput
14%
faster resource model updates
46%

Systems integrated

Geostatistical models · Computer vision · Froth image analysis · Mixed integer optimization · Kafka · Spark Streaming · Process historian · InfluxDB · Delta Lake · Databricks · PostgreSQL · PostGIS · Cassandra · Python · Java · C++ · React · Angular · Azure · Kubernetes · OPC UA · MQTT and IoT ingest · REST · Terraform · ArgoCD · Prometheus · Grafana · Power BI · mTLS · Zero Trust

Chemicals & Materials

Reagent Yield Intelligence

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

Soft sensor models · Multivariate SPC · Bayesian optimization · Retrieval augmented generation · Kafka · Process historian · Delta Lake · Snowflake · PostgreSQL · MongoDB · Milvus · Python · C++ · Java · React · Next.js · Azure · Kubernetes · OPC UA · REST · gRPC · Terraform · Ansible · Prometheus · Power BI · mTLS · SSO · Vault

Printing & Packaging

Converting Line Intelligence

21%less material waste

fewer unplanned stops
17%

Systems integrated

Computer vision · Anomaly detection · Demand forecasting · Fine-tuned SLMs · Kafka · Databricks · ClickHouse · PostgreSQL · Redis · MongoDB · Python · Go · Node.js · React · Angular · Azure · Kubernetes · REST · EDI · Event driven · Docker · Jenkins · Grafana · Power BI · SSO · IAM · Audit logging

Forestry & Paper

Harvest Planning Intelligence

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

Computer vision · Time series forecasting · Mixed integer optimization · Edge inference · Kafka · InfluxDB · TimescaleDB · Delta Lake · PostgreSQL · Cassandra · Java · Scala · Python · Vue · React · AWS · Kubernetes · OPC UA · MQTT and IoT ingest · REST · Terraform · ArgoCD · Prometheus · Superset · SSO · mTLS · SIEM

Trusted by the world’s leading enterprises.

Clients include: Allianz · Bank of America · Caterpillar · CHANEL · Citi · Dell · FedEx · Huawei · Hyundai · John Deere · Kellogg’s · Nissan · NIVEA · Philips · UNIQLO · Adobe · HSBC · L’Oreal · Nike · Siemens · Starbucks · Verizon · Walmart.

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