Genta AI built a fully automated market intelligence pipeline. The only thing Lumen's team needed to provide was a PE firm name and their website URL. Everything else happened automatically. The system scraped and structured portfolio company data directly from each PE firm's website. It then found physical facility addresses using Google Maps Places API and web search, returning coordinates for every site. Building square footage was calculated using a multi-source approach combining the Google Geocoding API, Shapely, Overture Maps, and Google Solar API, with a connected-component algorithm making sure multi-section industrial complexes were counted as one footprint, not several. Electricity rates were pulled by location through the EIA API. Google Street View images were then captured for each facility from multiple angles, and GPT-4 Vision analysed every image set for wall-pack fixtures, parking lot poles, and daytime lighting, the three main signals of legacy infrastructure and retrofit opportunity. Finally, every facility received an automated fit score from 1 to 10 based on all the data combined, so the sales team could immediately see where to focus. The output was a clean, five-tab workbook covering every PE firm, portfolio company, and facility, fully enriched and ranked, delivered in hours instead of weeks.