In process industries, quality is still largely a post-production insight.

At SIMACRO, we’ve been working to change that—bringing real-time intelligence into environments where first-principles models alone fall short.
Recently, we partnered with a polymer process technology company to tackle a familiar challenge: predicting L*a*b* color indices in real time, despite the complex influence of additives, residual catalysts, and microstructural variability.

Our approach combined:
→ A first-principles model continuously recalibrated to actual feedstock and operating conditions
→ Machine learning–based error correction to bridge the gap between simulation and plant reality
→ AI-driven soft sensors for real-time prediction of color indices

The result: a shift from reactive, lab-based quality checks to proactive, in-process control.

We’re excited to share these insights and showcase our PMV to FDT- USA and AI in Houston, TX.

📍 Join us at our booth to see live demos of our PMV capabilities
🎤 Our CEO, Jay Kim, will be speaking in the Data Lineage and Contextualization session at 5pm CST

With industry leaders like Shell, bp, ExxonMobil, Siemens Energy, and Honeywell attending, it’s shaping up to be a great opportunity to exchange ideas and explore collaborations.

If hybrid modeling and real-time quality prediction are on your roadmap, let’s connect.