Select the right material faster
Structure–property relationships surfaced from data narrow the candidate list before synthesis begins.
AI-Driven Analytics Platform for Perovskite Solar Cells
A machine-learning expert system that turns experimental and process data into actionable, data-driven insight.
The platform
From data to decisions
By combining our extensive expertise in advanced materials and device engineering with AI-powered intelligence, MoleculaX offers a machine learning–driven expert system that transforms experimental and process data into actionable, data-driven insights.
The platform enables more informed decisions in material selection, formulation optimization, and device engineering, helping accelerate innovation with greater precision and efficiency.
- Material databases, scientific literature and experimental data as inputs
- Predictive modelling and property prediction built on decades of experience
- Outputs applied to molecular design, interface engineering and process optimisation
Why it matters
Fewer blind alleys in materials discovery
Materials development is traditionally a slow empirical loop. We use data to narrow the search space before the chemistry starts.
Optimise formulations
Experimental and process data are combined to identify promising formulation and processing windows.
Reduce commercialisation risk
Shorter development cycles mean partners reach a qualified material with less time and material spent.
Explore the platform with our team
If you are working on a materials challenge where data could shorten the path, we would like to hear about it.