Legal Incentives

Design and Implementation of an Agentic AI Assistant for Automated Building Massing, Floor Plan Layout Generation, and Functional Analysis of Residential and Commercial Buildings

Design and implementation of an Agentic AI-based intelligent assistant for automated building massing, floor plan layout generation, and functional analysis of residential and commercial buildings, with simultaneous compliance with Iranian urban planning regulations and the Iranian National Building Regulations (Part 4), aimed at reducing design time from days to a few hours and optimizing investment decision-making.

Saba Naft Engineering and Construction Company2026
Overview
  1. 1

    The challenge

    The complexity of interpreting and modeling numerous and often ambiguous urban regulations across different cities; integration of Large Language Models (LLMs) with precise computational engines; ensuring convergence and managing negotiation among multiple agents (massing, layout generation, regulatory compliance, and functional evaluation); and the limited availability of high-quality, localized training data tailored to Iranian conditions.

  2. 2

    Our approach

    Development of a multi-agent architecture comprising a massing agent, layout agent, configurable Regulatory Agent for interpreting planning and building regulations, and a functional evaluation agent; utilization of Generative Design and optimization algorithms; implementation of the core engine in Python; and development of a web-based user interface for the MVP version.

  3. 3

    The result

    A functional initial core version (MVP 1), including a central processing and management engine for coordinating the agents, an automated Massing Module based on site dimensions, and a module for digitizing and automatically evaluating compliance with the Iranian National Building Regulations (Part 4) to enable real-time filtering and correction of generated building masses.

Back to projects
PreviousDevelopment of a Dynamic Process Simulator for Refinery Unit Operations for Operator Training System (OTS) ApplicationsNextDesign and Development of an Intelligent System for Unsafe Condition Detection and HSE Risk Prediction Based on Computer Vision, Environmental Sensors, and Data Analytics for Construction, Oil and Gas, and Heavy Industry Projects

Related case studies

Legal Incentives2026

Design of the Formulation and Development of a Pilot-Scale Production Process for Magnetoactive Nanoceramic Coatings to Control the Nucleation and Growth of Coke Deposits in Process Equipment of Bitumen-Producing Refineries

Jey Oil Refining Company

Design and development of magnetoactive nanoceramic coatings to inhibit the nucleation and growth of coke deposits in process equipment used in bitumen-producing refineries. Through surface engineering, these coatings prevent the initial adhesion of coke, thereby enhancing equipment efficiency and extending its service life.

Outcome
View case study
Legal Incentives2026

Design and manufacture of a turbo-compressor for supplying air to the combustion chamber and providing compressed air for the plant.

Jey Oil Refining Company

Design and manufacture of an industrial turbo-compressor to supply combustion chamber air and plant compressed air by utilizing the heat generated from the combustion of excess gas. The key innovation is the elimination of the power turbine rotor and the splitting of the hot gas flow upstream of the gas-generator turbine inlet, which reduces costs while increasing aerodynamic loading.

Outcome
View case study
Legal Incentives2026

Design Upgrade of the Excess-Air Burner Air Preheater Heat Exchanger to Withstand a Pressure of 3 bar

Jey Oil Refining Company

Design and fabrication of a compact heat exchanger for preheating the compressed air supplied to the oxidation reactor from 90°C to 200°C, using direct flame heat and combustion products from excess gas. The heat exchanger is installed in the excess-gas burner wall and fabricated from A516 steel plate with minimized welding requirements.

Outcome
View case study
Design and Implementation of an Agentic AI Assistant for Automated Building Massing, Floor Plan Layout Generation, and Functional Analysis of Residential and Commercial Buildings | Novaco