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.
Chemical compliance affects efficiency, cost and risk. Connecting documentation and regulatory data helps improve consistency across paint and coatings workflows.
A plastics manufacturer implemented an AI-driven materials informatics platform to unify data, accelerate R&D and improve sustainability. This case study examines the impact.
From predictive maintenance to real-time analytics, advanced technologies are transforming production, security and sustainability in modern coatings facilities.
Axalta has announced a new partnership with Dürr to develop a digital paint solution for the automotive industry. The company will work with Dürr to integrate its NextJet™ technology with Dürr’s robotics.