ENGII
ENGII automates due diligence for the built environment, replacing manual engineering audits with an AI-powered SaaS platform that extracts data, builds energy models, and runs financial and portfolio analytics. The platform compresses 150 hours of manual work into roughly 30 minutes, achieving 300x faster execution and up to 93% savings on engineering margins. It replaces static PDF reports with dynamic, interactive scenario calibration tools for real estate stakeholders.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Energy
- Financial Technology
- Property Technology
- Software Only
Funding
Founders
Product
Problem
Traditional engineering due diligence for commercial real estate relies on manual, error-prone audits that require hundreds of hours of labor per property. These processes are costly—ranging from $18,000 to $30,000 per audit—and produce static, rigid PDF deliverables that cannot be easily adjusted or analyzed across a portfolio.
Solution
ENGII provides an autonomous SaaS platform that reengineers due diligence for the built environment by combining AI-powered data extraction, building energy modeling, and financial analytics into one streamlined workflow. The platform automatically parses source documents, performs thermodynamic simulations with engineer-grade accuracy aligned to ASHRAE standards, and generates dynamic, interactive reports with scenario calibration capabilities. What previously took 150 hours of manual compilation is reduced to roughly 30 minutes, representing a 300x speed-up in inbound execution. Users can adjust assumptions in real time and immediately see the impact on energy performance, retrofit recommendations, and financial returns.
Target Audience
Real estate stakeholders, including property owners, investors, asset managers, and engineering firms that need faster, lower-cost building due diligence and portfolio-wide energy and financial analytics.
Features
- AI-powered data extraction module that automatically parses and structures building documentation and system data
- Building energy modeling and calibration engine delivering sub-hour thermodynamic precision with ASHRAE-aligned accuracy
- Recommendation and costing engine that generates retrofit options with associated capital costs and savings estimates
- Financial analytics module enabling dynamic scenario calibration, replacing static PDFs with interactive modeling tools
- Portfolio analytics layer that scales across multiple properties for consolidated benchmarking and comparative analysis
- Compounding network flywheel where each completed audit expands a localized data moat, continuously improving algorithmic accuracy