REcycling Composite by Low‑cost AI/ML Integrated Metrics

Glass fibre recycling today suffers from poorly defined quality metrics and inconclusive industrial QA, squeezing value from a market that’s already substantial and growing. The recycled glass fibre market is estimated at roughly USD 0.6–0.65 billion in 2025 and projected to exceed USD 1.1 billion by 2034–2035 at ~6–7% CAGR, with global composite recycling (including glass fibres) reaching ~USD 937 million in 2024 and expected to double by 2034–2035.

At the same time, industrial testing inefficiencies and yield variability (often >25% variability reported) add significant cost and risk for end-users. By correlating rapid, low-cost industrial measurements with advanced characterisation (e.g., micro-CT, spectroscopy) from our facilities, predictive models can deliver more reliable QA, unlocking higher yields, lower testing costs, and greater material value capture for recyclers and composite manufacturers alike.