Our Venture Thesis.

Four directions for innovating the value chain.

Our Venture Thesis define the areas where we focus research, expertise and experimentation. They are not predefined products, but starting points for building solutions together with industry stakeholders.

Every thesis is tested directly on the factory floor with converters and manufacturers, reducing adoption risks and accelerating time to market.

Four industrial pillars

Four high-impact development areas connecting operational performance, financial value and regulatory readiness.

Material Intelligence

Production Intelligence

Multi-index predictive hedging models for aluminium, polymers and cellulose, with 30-60-90-day forecasting horizons and intelligent PCR stock allocation. Designed to reduce raw-material volatility, optimise regulatory costs and stabilise Net Working Capital.

Predictive algorithms and neural networks, including Rheological In-Line Adjustment, optimise machine parameters in real time when processing ultra-thin and complex mono-materials. Designed to reduce micro-stoppages and scrap while increasing OEE.

Scrap Governance

Eco-Design Governance

Real-time AI vision systems classify and separate aluminium and polymer scrap directly at the end of production lines. Designed to minimise burn loss, ensure Scope 3 and CSRD traceability, and protect plant EBITDA and asset value.

Digital Twin models simulate the impact of new sustainable materials on existing machinery before physical production. Designed to reduce destructive testing CAPEX, anticipate PPWR 2030 compliance and limit the risk of stranded assets.

Have you identified an industrial challenge?

Whether you want to lead a venture, share an industrial challenge or explore investment opportunities, the first step is a direct conversation.