Think of AutoStruct as an AI-powered structural engineer’s assistant that can automatically design the skeleton of a building that uses shear walls. You give it basic project requirements and it proposes a safe, code-compliant wall layout and member sizes instead of an engineer doing dozens of manual calculations and iterations.
Manual design of shear wall building structures is slow, calculation-heavy, and requires many trial-and-error iterations to satisfy safety, serviceability, and code requirements. AutoStruct automates much of this design process, reducing engineering time, errors, and inconsistencies across projects.
Domain-specific structural engineering expertise encoded into algorithms and design rules (e.g., for shear wall buildings), which is hard to replicate quickly; potential access to proprietary design datasets and tight integration into engineering workflows and CAD/BIM tooling.
Hybrid
Structured SQL
High (Custom Models/Infra)
Integration with diverse building codes, design standards, and CAD/BIM environments; need for validation and liability management for safety-critical structural designs.
Early Adopters
Narrow focus on shear wall building structures with deep structural engineering logic rather than a generic generative-design or optimization engine; likely stronger code-awareness and practical constructability constraints than generic AI design tools.