What Is New in PMV™: Integrated AI/ML, Faster Workflows, and Smarter Data Preparation
Introduction: PMV™’s Continued Evolution
Since last October, ProcessModel V™ (PMV™) has continued to evolve with the addition of numerous new features, and we are excited to share these latest advancements. These enhancements make PMV™ even more powerful for users, significantly improving productivity and efficiency across the entire workflow—from data cleaning and preparation to model generation and analysis.
Core Feature Highlights
PMV™ introduces a powerful set of integrated capabilities designed to streamline the entire modeling lifecycle.
At the core is the PMV AI/ML Builder for hybrid modeling, which enables users to seamlessly combine physics-based models with data-driven machine learning techniques. This allows organizations to retain domain expertise and interpretability while enhancing model performance through AI—eliminating the traditional trade-offs between the two approaches.
Complementing this is PMV™’s streamlined model execution environment, which simplifies the process of running complex models. Users can execute simulations quickly and efficiently within a unified interface, enabling faster iteration, rapid scenario testing, and more agile decision-making.
Another standout capability is PMV™’s Stability Analysis feature for data cleaning, which directly address one of the most time-consuming steps in modeling workflows. In real-world use cases, cleaning three years of plant data previously required two engineers working full-time. With PMV™, this process can now be completed by a single engineer in as little as 30 minutes. This dramatic reduction transforms data preparation from a bottleneck into a streamlined, efficient step.
PMV™ also provides fully integrated AI/ML capabilities, allowing users to build, train, and deploy machine learning models directly within the platform. By keeping data pipelines, modeling, and deployment in one environment, PMV™ reduces complexity, minimizes handoffs, and ensures a seamless workflow from start to finish.
Driving Productivity and Efficiency at Scale
Together, these features fundamentally reshape how teams approach modeling and analysis. By automating and accelerating traditionally manual processes—especially data cleaning—PMV™ significantly increases productivity while reducing the burden of repetitive work. Engineers can shift their focus from time-intensive preprocessing tasks to higher-value activities such as model development, simulation, and optimization.
This end-to-end integration also eliminates the need to move between multiple tools, reducing inefficiencies and enabling faster iteration cycles. Teams can test more scenarios, refine models more quickly, and generate insights with greater speed and confidence. The result is not just incremental improvement, but a step-change in how efficiently modeling workflows can be executed.
A Unified Platform for the AI-Driven Future
PMV™ ultimately delivers a truly unified modeling ecosystem. By bringing together hybrid modeling, execution, data preparation, and AI/ML into a single platform, it removes silos and creates a cohesive environment for innovation. This is particularly important in today’s AI-driven landscape, where model development is no longer limited to traditional engineers but is increasingly driven by data analysts and domain experts.
By lowering barriers to entry while maintaining depth and rigor, PMV™ empowers a broader range of users to build and deploy models effectively. Organizations can leverage diverse expertise, accelerate innovation, and respond more quickly to evolving business and technical challenges.
Conclusion
PMV™ is more than just a collection of features—it is a platform that redefines the modeling workflow. By combining powerful capabilities with a unified user experience, PMV™ enables organizations to achieve higher productivity, greater efficiency, and faster time to insight. As modeling complexity continues to grow, PMV™ positions teams to not only keep pace, but to lead.
*PMV™ has recently been renamed from ProcessMetaverse™ to ProcessModel V™
This new PMV version will be released at this year’s SIMACRO Demo Day (June 2026).