This webinar explored how physics-based simulations and machine learning are helping chemical companies accelerate sustainable innovation while reducing development risk. Attendees learned how a “predict-first” digital chemistry approach can evaluate properties such as solubility, stability, and material compatibility before physical testing begins. The session also highlighted real-world applications of AI-powered modeling and demonstrated how these tools can help organizations speed product development, address complex R&D challenges, and adapt to evolving regulatory and sustainability demands.