Genia
AI structural-engineering agent that turns architectural drawings into code-compliant, physics-validated structural designs. The Structural CoPilot generates and analyzes hundreds of layout options, then exports permit-ready drawings and calculation sheets.
Best for: Structural engineering firms and developers that want to generate and validate code-compliant structural designs from architectural drawings in hours instead of days.
Last reviewed 6/2/26
- Pricing
- Free ($0, 100 one-time credits); Professional ($99/mo or $949/yr, 500 credits/mo); Team ($299/mo, 1,500 credits/mo); Enterprise (custom, adds API integration and private AI model deployment)
- Integrations
- CAD, BIM, ASCE API (environmental load factors), API (Enterprise tier)
- Property types
- Residential (low-rise and mid-rise), Multifamily, Commercial buildings, New construction
- Geography served
- Global; US HQ in Los Angeles, CA with an office in Singapore
How Genia uses AI[1][2]
Genia's Structural CoPilot ingests architectural PDFs and CAD/BIM drawings, parses structural elements, and runs a from-scratch generative AI model with physics-based structural analysis to produce code-checked design options engineers can edit, re-analyze, and export as permit-ready drawings.
- • Parses PDFs and CAD/BIM drawings to identify walls, openings, and structural elements
- • Generates multiple physics-validated layout options checked against building codes
- • Sizes members and selects materials to minimize overdesign; Genia reports up to 20% less material use
- • Exports permit-ready CAD/BIM drawings with detailed calculation sheets
- • Built on a generative AI model the team developed from scratch, paired with rules-based and physics-based analysis
AI type: Generative AI (proprietary model), Physics-based Structural Analysis, FEA, Computer Vision/Segmentation
API: yes MCP: unknown
Key numbers[2][5]
- • Raised $3M pre-seed led by Pi Labs (Feb 2025)
- • graduated from the Pi Labs Growth Program in 2024
- • Genia reports 10x faster structural design, up to 20% less construction material, and 40% fewer human errors
- • Genia says it is trusted by 200+ structural engineering firms
Credibility[2][4][6]
- Founders
- Co-founded in 2023 by Zhihao Zhao (Co-Founder & CEO, ex-Amazon engineer), Robin Li (Co-Founder & COO, ex-Arup structural engineer, who designed 100+ low- and mid-rise structures), Houtao Wang (Co-Founder, software entrepreneur), and Peter Dai (Co-Founder, generative AI researcher).
- Customers
- Genia says it is trusted by 200+ structural engineering firms. Named customers and partners cited on its site include Simpson Strong-Tie, Weyerhaeuser, Saint-Gobain, Suffolk Construction, Nvidia, Pulte, and Cemex.
- Investors
- $3M pre-seed (Feb 2025) led by Pi Labs, with participation from Amplify, Boost VC, Dorm Room Fund, Suffolk Technologies, Y Startup Index, Moatable founder Joseph Chen, and Scale AI executives. Genia graduated from the Pi Labs Growth Program in 2024.
Founded
2023
Headquarters
Los Angeles, CA
Stage
Pre-seed
Employees
1-10
Sources
- Genia product page
- Genia $3M funding announcement
- Genia pricing page
- Preqin asset profile (founded 2023, pre-seed, investors)
- Genia graduated from Pi Labs Growth Program in 2024
- ProptechBuzz funding coverage (founders, investors)
- BuiltWorlds company profile (employees 1-10, founded 2023)
- Genia company news / HQ and Singapore office
Related companies
GreenLite
AI-powered construction permitting platform that combines automated code compliance with expert plan review to cut permit timelines by up to 75%.
Plan intake runs through GreenLite's AI, which ingests construction plan sets, extracts key data, and flags likely code violations before submission against a proprietary comment database trained on jurisdictional reviews.
TestFit
Generative design platform that automates real estate site planning and feasibility analysis, producing optimized layouts in minutes instead of weeks.
Generative design AI autonomously tests site layouts against project constraints, then ranks the results by the financial and physical KPIs developers care about.
Hektar
Hektar is a cloud-based generative design platform for early-stage urban development. It produces volume studies, density scenarios, and feasibility KPIs for raw land, used by developers, architects, and municipalities to evaluate site potential before schematic design.
Hektar runs evolutionary algorithms over site data to generate building layouts for raw land, producing volume studies, density scenarios, and KPIs in minutes. It factors in access points, non-buildable zones, greenery, parking, and user-defined streets so early-stage proposals reflect real site constraints.