A formulation platform links pigment performance data with measurement and quality-control tools to support color matching, material reuse and corrections across production batches.
Artificial intelligence can help coatings teams narrow formulation options, predict performance and monitor processes in real time. Reliable gains, however, depend on data quality, governance and human oversight.
Machine learning is moving closer to formulation, quality control and application decisions, but dependable results still rest on the data, guardrails and human expertise behind those systems.
Dow applies large language models to convert subjective paint application feedback into structured performance data, accelerating coatings R&D analysis.