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Solutions by industry / Metals & mining

AI for metals and mining, more yield, less downtime

Increase yield, improve material properties and cut energy use, from the mine to the caster, with models that predict failures and steer the process in real time.

up to −20%energy costs
+15%product yield
−25%maintenance-related downtime

They trust us

  • ArcelorMittal
  • Aperam
  • SKF

Key benefits

Throughput, alloy quality, energy and uptime

Steel and metal production asks for metallurgical precision and furnaces run at their best. Wizata brings data-driven insight and real-time control to both.

01

Production efficiency

Shorter cycle times and higher throughput, without compromising quality.

02

Alloy quality

Chemical composition and temperature monitored and adjusted during smelting for the right alloy properties.

03

Energy optimisation

Lower energy consumption across the process, cutting costs and environmental impact.

04

Predictive maintenance

Failures predicted and maintenance scheduled ahead, for less downtime and longer machine life.

Featured case

Predicting failures on the continuous caster

A long-product steel producer predicts cutting-torch failures in real time and plans maintenance before a torch stops the line.

Case study

Continuous casting maintenance

76 models score the four strands in real time and alert operators by email and SMS before a failure.

+60%asset availability
4 strandsin real time
Day 1ROI
Read the full case →

How it works

AI from raw materials to finished metal

Each stage gets its own model, on one platform and one digital twin of your plant.

1Raw materials

Best use of inputs

Raw materials used at their best, based on their quality and availability.

2Furnace

Furnace control

Furnace conditions controlled dynamically for metal quality and efficiency.

3Quality

Properties on spec

Metal properties inspected continuously during production so standards are met.

4Sustainability

Less waste and emissions

Processes evaluated and adjusted to meet sustainability goals.

Demonstrating ROI

Measured in energy, yield and uptime

up to −20%energy costs reported by steel and metal manufacturers.
+15%product yield.
−25%maintenance-related downtime.

Next step

Advance your steel and metal production with AI

Talk to one of our engineers, or spend one or two days with our team on one line and your own data.