Autonomous structural optimization, parametric BIM geometry synthesis, and real-time multi-agent logistics planning powered by custom foundation models and AWS cloud infrastructure.
Simulate real-time Generative AI inference on structural load parameters, zoning bounds, and material carbon balance.
Bridging frontier AI model capabilities with practical structural engineering, construction automation, and sustainable material dynamics.
LLM-driven CAD synthesis pipelines that parse complex zoning regulations and building codes to generate fully compliant, edit-ready IFC/Revit structural models automatically.
Multi-agent vision-language models for heavy machinery coordination, live site hazard avoidance, automated earthwork pathing, and material staging optimization.
Deep generative thermal modeling for building envelopes. Synthesizes microclimate simulations to optimize custom HVAC ducting and passive solar orientation.
Our research stack couples frontier models hosted on Amazon Bedrock with custom AEC domain-specific fine-tuning layers and high-performance vector databases for instantaneous CAD geometry retrieval.
Low-latency structural logic parsing, multi-modal engineering schematic interpretation, and code translation.
Indexed databases of IBC, Eurocode, and regional zoning laws for precise real-time constraint validation.
Ultra-fast web-based rendering of generative meshes and wireframes directly on edge nodes globally.
Evaluating deep generative cross-attention networks in reducing structural steel weight while maintaining ASCE 7-22 structural safety margins.
A RAG architecture utilizing vector embeddings of complex city zoning codes to perform instant 3D model compliance checks during early architectural stages.
Implementing distributed edge inference for heavy machinery collision prevention and real-time material staging layout generation.