10:00 AM CEST / 1:30 PM IST | Wednesday, April 15, 2026 | Check Your Time

Registration Deadline: ONE DAY BEFORE THE WEBINAR.

Running simulations on a project-by-project basis is often the norm for many companies. However, this approach often leads to problems such as scattered data, fragmented know-how, and the need to rebuild reference points from scratch each time.

In this webinar, we’ll demonstrate how iSLM uses AI-powered similarity discovery and data insights to help engineers quickly find relevant historical projects, extract validated reference values, and make design decisions that are more consistent and evidence-based—rather than based on guesswork. This enhances the precision and automation levels of injection molding simulations.

Key Takeaways

• How to Use AI Discovery: Similarity-based project discovery, including Insight Discovery (Pre-design) and Design Discovery (Design Stage)
• AI Chat: A conversational way to quickly locate relevant project knowledge and references
• Auto Launch Workflow Automation: Stream AI Discovery recommendations into Auto Launch—so teams can move from reference discovery to batch CAD upload, parameter setup, and simulation runs with less manual effort