Formula Prediction
Provide Albert Breakthrough with targets and receive formula and experimental candidates that get smarter as you collect more data. Breakthrough continuously learns from your experiments, proposing increasingly refined formulations tailored to your specific goals. This iterative process significantly reduces the number of experiments needed to achieve desired outcomes, accelerating your R&D timelines and improving resource efficiency.
SKU Rationalization
Identify product redundancies to optimize your product portfolio, streamline inventory, and reduce costs. Albert Breakthrough analyzes your entire product range, considering chemical compositions, performance attributes, and market data to highlight opportunities for consolidation.
Molecular Predictions
Screen tens of millions of molecules to forecast physical, chemical, regulatory, and toxicological properties with Graph Neural Network (GNN) models that outperform EPA's T.E.S.T. Breakthrough can rapidly assess novel compounds, predicting crucial properties without the need for extensive lab testing. This capability allows you to explore a vast chemical space efficiently, identifying promising candidates and potential red flags early in the development process.
Smart Design of Experiment
Efficiently plan and execute DoEs with AI-driven candidate recommendations, designed to enable Optimization and Active Learning. Albert Breakthrough suggests optimal experimental designs based on your objectives and constraints, maximizing the information gained from each experiment.
“I had to recalibrate our equipment, because the formula performed better than anything we had created before.”
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