Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate teams spend extensive time gathering and normalizing disparate municipal geospatial data—zoning, assessments, environmental constraints—to identify suitable land parcels, which slows deal cycles and diverts focus from client relationship building.
Solution
Raeo offers a cloud‑based land intelligence platform that ingests raw municipal records from cadastral files, zoning bylaws, assessment rolls, and permitted‑use tables, then standardizes them into a single searchable dataset. Users define project specifications such as asset class, size, and proximity requirements, and the system instantly scans millions of parcels, applying an intelligent scoring algorithm to rank sites by development potential. The platform presents ranked, qualified land options along with the underlying raw data for quick verification, enabling brokers to evaluate opportunities at scale and close deals faster. By handling data aggregation, normalization, and scoring, Raeo removes the need for CRE professionals to act as data scientists.
Target Audience
Raeo serves commercial real estate brokers, land acquisition teams, and development consultants who need fast, data‑driven identification of viable land sites for client projects.
Features
- Proprietary data engine that directly processes raw municipal records into a unified, queryable dataset covering over 4.5 million parcels
- Project‑specification interface allowing users to set asset class, size, proximity, and priority criteria
- Intelligent scoring model that ranks parcels based on zoning allowances, assessment values, and environmental constraints
- Bulk site discovery that evaluates millions of parcels in seconds, supporting large‑scale opportunity searches
- Access to original source data for each parcel to facilitate rapid verification and due‑diligence
- Web‑based dashboard with exportable results and integration‑ready APIs for downstream workflow tools