Complex Manufacturing
Explainable AI for process optimisation, quality control, defect prediction, and operational decision support.
Sectors
Explainable AI for process optimisation, quality control, defect prediction, and operational decision support.
AI and advanced sensing for quality, safety, waste reduction, process efficiency, and product consistency.
AI to classify, characterise, reuse and reintroduce materials into industrial value chains.
AI for material optimisation, defect control, logistics assets, resource efficiency, and circularity models.
AI for textile waste characterisation, recycled fibre quality prediction, blend prescription, and traceability.
Explainable AI for high-responsibility processes, defect prediction, process control and manufacturing quality.
Projects
Sustain XP applies Explainable AI, process knowledge and advanced sensing to real industrial challenges where better prediction, diagnosis or prescription can improve sustainability, resource efficiency and business return.
01AI applied to fish canning and packaging operations to support process optimisation, product consistency, waste reduction and better real-time decision-making.
02AI and advanced sensing applied to earlier quality assessment in food processes, supporting faster, more reliable and more sustainable production decisions.
03AI for textile feedstock identification, recycled fibre quality prediction and blend prescription to improve textile-to-textile recycling performance.
04Predictive models for additive manufacturing processes, supporting early detection of potential failures and improving reliability in high-responsibility parts.
05Explainable AI models to anticipate defects in cast components and support better control of complex manufacturing parameters.
06AI-assisted diagnosis and repair prescription for logistics assets, helping teams identify defects and define corrective actions.
Contact
Contact us for a differential AI solution
Address
Hub Las Rozas InnovaCalle Jacinto Benavente, 2A
28232 Las Rozas de Madrid
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