AI-Powered Manufacturing Optimization Platform For Rubber & Plastics Manufacturers
AI-Powered Solutions To Rubber & Plastic Production Problems
While the rubber & plastics industry saw a very healthy rise in CAGR to 9.5% in 2022, the challenge surrounding sustainability has remained. Global sustainability concerns have directed manufacturers, to innovative to try and realize a more diverse product profile in a number of different ways such as co-product management, developing advanced and real-time controls for complex processes, rising costs, and increased demand
How AI Can Help
Rubber & Plastic Manufacturers
Discover Ideal setpoints for each batch
Vanti’s low latency gives manufacturers the ability to improve outcomes and reduce waste by either manually or autonomously calibrate recipes in real time based on current metrics such as heat, viscosity, or facility temperature
Sustainable Practices That Help Your Bottom Line
Vanti’s platform provides facility staff with unrivaled accuracy for decision support, reducing waste at nearly every stage of the process through improved energy efficiency, optimized processes, and predictive quality
Deploy AI-powered visual inspection stations
Up To 99% Accuracy
Vanti’s sophisticated AI-powered visual inspection enhancement can autonomously detect and identify problematic units at nearly any stage of the cooking and packaging processes
Employ Real-time & Adaptive Processes
Empower your facility professionals to be more agile throughout the manufacturing process, allowing them to use their expertise to teach the platform to optimize the process using real-time metrics
Optimize Your Supply Chain
Vanti’s contextual AI functionality provides decision assistance for any number of areas, such as sourcing materials, accounting for variables such as, currency exchange, historic averages, and market trends
More effective and efficient automation
Accuracy up-to 99%
Automation is only as reliable as it is accurate. Vanti’s proprietary AI-platform has shown to outperform other AI platforms as well as internal data science teams
Discover faulty units early in the manufacturing process
See how your data can improve early fault detection faster
