Highroad provides an AI‑driven platform for commercial real‑estate finance that automatically ingests broker emails and PDFs, structures the data in seconds, and generates fully cited screening memoranda with comps, sponsor research, and risk flags. The system stores every processed deal in a searchable knowledge base, creating a growing institutional memory that streamlines screening, issuance, origination, and asset management, and saves up to ten hours of manual work per deal.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate (CRE) finance professionals spend extensive time manually extracting data from broker emails and PDFs, performing comparable analyses, sponsor research, and risk assessments, which leads to slow deal pipelines and fragmented knowledge that is hard to reuse.
Solution
Highroad offers an AI‑driven platform that automatically ingests broker communications and deal documents, structures the information within seconds, and generates comprehensive screening memoranda that include comparable metrics, sponsor background, and risk flags with source citations. The system stores every processed deal in a searchable knowledge base, creating a growing institutional memory that can be queried indefinitely. By automating data extraction and analysis, the platform reduces manual effort by an estimated ten hours per deal, accelerating origination and underwriting workflows for CRE lenders and investors.
Target Audience
Primary users are commercial real estate lenders, loan originators, and asset managers who need rapid, data‑driven deal screening and a searchable archive of past transactions.
Features
- Automated ingestion of broker emails and PDFs with instant data structuring
- AI‑generated screening memos containing comparable property data, sponsor research, and risk indicators, all fully cited
- Full‑text searchable repository of all processed deals, preserving institutional knowledge over time
- Integrated modules for screening, issuance, origination, and asset management within a single workflow
- Time‑saving analytics that reportedly cut up to 10 hours of manual work per deal