Webinar: AI That Turns Weeks of Electrical Modeling into Hours

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As part of AI Demo Days hosted by AI in AEC, Augmenta’s Co-Founder and CPO, Aaron Szymanski, joined Stjepan Mikulić for a walkthrough of how AI is being applied to electrical design and coordination workflows.

The session focused on common challenges faced by electrical contractors and BIM/VDC teams, including:

  • Limited time to prepare models for coordination
  • Manual effort required to route electrical systems in Revit
  • Rework caused by design changes and coordination conflicts

During the walkthrough, Aaron demonstrated how Augmenta’s platform generates electrical raceway layouts based on project constraints and user-defined rules. The output is produced as native Revit elements, allowing teams to review, adjust, and continue working within their existing workflows.

The session also covered how teams are using this approach on active projects to move from initial model population into coordination more quickly.

The recording runs approximately 45 minutes and includes a step-by-step look at setup, generation, and quality control of the model.

Watch Aaron’s demo with AI in AEC here.

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Augmenta

Established by a pioneer in Generative Design, Augmenta is an innovative AI firm spearheading enhanced efficiency in the physical industries through automated design solutions. Since its inception in 2018, Augmenta has garnered recognition, including a spot in CB Insights’ AI 100: Most Promising Artificial Intelligence Startups and  Top 50 Generative AI startups in 2023.

Its flagship product, the Augmenta Construction Platform (ACP), aims to ensure sustainable building practices by facilitating energy-efficient design and minimizing waste. The cloud-based system’s first-available module is tailored to electrical contracting firms and automates electrical design processes. ACP Electrical empowers VDC and BIM teams to swiftly create coordinated clash-free electrical systems while reducing modeling timelines from weeks to hours. Augmenta’s innovative system addresses pressing industry challenges, such as schedule pressures and talent shortages, by minimizing the time it takes for multiple iterations and rework.

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