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Industrial AI tools worth using before you buy.
Assess readiness, estimate value and frame a better internal conversation. No login required.
Quick Answer
NeoBram publishes a private Industry 5.0 readiness check plus six industrial AI ROI calculators for maintenance, quality inspection, energy, EPC delay, pharma batch rejection and factory-floor knowledge. Calculations run in the browser; no input data is submitted to NeoBram.
Free browser-based resources
Start with questions and evidence.
SME Readiness
Industry 5.0 Readiness Check
Assess human-centricity, sustainability, resilience and AI delivery foundations.
Start assessmentManufacturing / Oil & Gas
Predictive Maintenance ROI
Downtime savings on critical rotating equipment.
Open calculatorManufacturing
CV Quality Inspection ROI
Escape reduction and inspector productivity from on-edge computer vision.
Open calculatorManufacturing
Energy Optimization ROI
Utility-bill savings and CO2 reduction from AI on plant utilities.
Open calculatorEPC
EPC Schedule-Risk ROI
Avoided delay days and LD exposure on large EPC programmes.
Open calculatorPharma
Pharma Batch Rejection ROI
Recovered batch value and CAPA cycle-time savings.
Open calculatorManufacturing
Factory Chatbot ROI
Productivity uplift from a shop-floor AI assistant.
Open calculatorHow to use these
A calculator is a scoping tool, not a business case.
Every calculator here runs entirely in your browser. Nothing you type is transmitted to NeoBram, stored, or used to contact you — there is no form, no login and no tracking of the values you enter.
The defaults are planning assumptions, not benchmarks. We do not publish a universal figure for what AI delivers in your sector, because it depends on your failure modes, data history, control maturity and whether anyone can act on what the system surfaces. Replace every default with your own measured baseline before the number means anything.
Model gross benefit first, then subtract delivery. None of these tools include implementation cost, because that depends on integration scope, deployment boundary and data preparation. Treat the output as an upper bound worth investigating, and scope the build separately.
The readiness check is different. The Industry 5.0 assessment does not estimate value at all. It asks whether the human-centricity, sustainability, resilience and delivery foundations are in place to make any AI project survive contact with production.
If a result looks material, the useful next step is a working session against one real workflow — its evidence, integration boundary, operating risk and owner — rather than a broader AI strategy exercise.
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