Back to AluMind

Pricing & ROI Calculator

See how AluMind is priced, then estimate what AI-driven process control could save your anodising line.

How pricing works

AluMind is priced per anodising line, not per seat — because the platform monitors and optimises your process, not individual users. There's a one-time setup and calibration fee, then an ongoing subscription per line.

Setup & Calibration

One-time fee, scoped to your line count and existing sensor infrastructure.

  • IoT sensor install or integration with existing hardware
  • Process baseline & model calibration
  • Operator dashboard training

Per-Line Subscription

Ongoing monthly or annual fee per anodising line under management.

  • Real-time IoT monitoring & predictive control
  • Energy optimisation & sustainability analytics
  • Digital twin & dashboard access

Enterprise & Multi-Site

Custom terms for operators running multiple lines or sites.

  • Volume pricing across lines/sites
  • Dedicated onboarding & support
  • CBAM/ESG reporting rollout
Why no public numbers? Final pricing depends on line count, existing sensor infrastructure, and throughput — the same way industrial automation contracts are typically scoped. Use the calculator below to estimate your savings case, then book a demo for a quote tailored to your operation.

Estimate your savings

Adjust the numbers below to reflect your operation. Figures are based on AluMind's observed range of up to 30% energy reduction and 95%+ predictive accuracy across pilot deployments.

Total annual energy cost for the anodising line(s) you'd bring onto AluMind.
Share of batches currently scrapped or reworked due to quality failures.
Total annual revenue or value of anodised output from this line.
AluMind customers see 10–30% energy reduction; 20% is a conservative mid-range estimate.

ESTIMATED ANNUAL IMPACT

  Energy cost savings £0
  Quality/rework savings £0
Total estimated annual savings £0

Estimates only, for illustration. Quality savings assume AI process control halves your current reject rate, based on AluMind's 95%+ predictive accuracy in pilot deployments. Actual results depend on your baseline process, line configuration, and data quality — confirmed during onboarding.

Get a Custom ROI Estimate