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MINING & METALS AI

Bring AI into mining and metals operations without losing control

Deploy AI inside your approved environment and govern what models and agents can access, analyze and act on across mine, plant and enterprise workflows.

  • Private deployment
  • Controlled operational access
  • Complete audit trail

Advance AI without compromising operational control

Give teams access to useful AI while keeping geological, production, engineering and commercial data inside approved environments.

01

Protect operational data

Keep geological, production, asset, process and commercial information within approved environments and workflows.

02

Control models and agents

Define which data, tools and systems each model or agent can access—and where human approval is mandatory.

03

Demonstrate oversight

Maintain a traceable record of requests, policy decisions, model outputs, approvals and agent actions.

A control layer between AI and critical operations

Every request is checked before a model or agent can reach geological data, engineering tools, operational systems or enterprise applications.

Operating model

How Iftah operates across mining and metals

View operating modelعرض نموذج التشغيل

Operators, engineers and applications connect through one governed platform before reaching approved models, mine and plant data or enterprise systems.

Iftah AI Service
Model serving, RAG and isolated experimentation
Iftah CGM
Identity, policy, approvals and audit
Iftah Deploy
Deployment and workload lifecycle
Iftah Mesh
Private connectivity and runtime protection

Optional. Traffic is permitted only when the workload policy explicitly allows this endpoint.

Iftah AI sits between operators, engineers and applications on one side, and approved AI models, mine and plant data, and enterprise systems on the other. It applies identity, policy, approval and audit controls.

Where mining and metals organizations can start

Begin with one focused workflow and apply stronger controls as AI moves closer to production decisions, operational systems and safety-critical activities.

01

Engineering and workforce knowledge

Private assistants for operating procedures, engineering standards, maintenance histories, geological reports and technical knowledge.

02

Mine and plant operations

Controlled AI assistance for maintenance planning, production analysis, equipment reliability, process investigation and quality workflows.

03

Safety, environment and compliance

Secure AI for incident analysis, environmental reporting, permit obligations, sustainability records and audit preparation.

Built to operate within approved operational environments

  • Deploy in your cloud, data centre or sovereign environment
  • Keep private models inside the customer-controlled environment; connect to approved external endpoints only through policy controls
  • Connect through existing identity, security, data and monitoring controls
  • Keep human approval between AI recommendations and operational or safety-critical actions

Next step

Start with one controlled mining or metals use case