Lombard Standard is an AI-driven market network designed for commercial real estate, utilizing a predictive algorithm trained on industry-specific data to facilitate property matches between verified buyers and sellers. This technology addresses the inefficiencies in property transactions by providing accurate, data-driven insights that enhance decision-making in the commercial real estate market.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate (CRE) transactions are often inefficient due to fragmented data, making it difficult for buyers and sellers to find suitable property matches. The process relies heavily on manual data analysis and networking, leading to delays and missed opportunities.
Solution
Lombard Standard is an AI-powered market network designed to streamline commercial real estate transactions by matching verified buyers and sellers with specific properties. The platform uses a predictive algorithm trained on CRE company data points to analyze millions of data points across all asset classes globally. This enables automation for CRE enterprises by providing companies rankings, global CRE headlines, and encrypted chat with members. Lombard Standard also offers generative AI tools to create personalized email content, location maps, and property descriptions.
Target Audience
The primary target audience includes commercial real estate companies, property operators, asset managers, property developers, and financial service providers involved in buying and selling commercial properties.
Features
- Predictive AI algorithm trained on CRE company data for property matching
- Company ranking based on data analysis
- Aggregation of global CRE headlines with search and filtering tools
- Encrypted chat for direct communication between verified members
- Generative AI tools for content creation, including email, maps, and property descriptions
- Database of CRE professionals with names, titles, LinkedIn profiles, and email addresses
- Market trends chatbot providing insights from various market reports and historical data