Contor provides an AI‑driven platform that automates land‑development research for developers, consultants, and public agencies. It delivers source‑cited answers on zoning, environmental regulations, fee estimates, and public‑approval likelihood, allowing users to quickly assess buildability and prepare defensible proposals. The system traces every claim to its original document, ensuring transparent, verifiable decision‑making.
Funding
Funding not disclosed
Founders
Product
Problem
Land‑development professionals must manually search and interpret scattered zoning codes, environmental regulations, fee schedules, and political data to assess site buildability and compliance, a process that is time‑consuming, error‑prone, and difficult to document for stakeholders.
Solution
Contor offers an AI‑driven platform that ingests municipal land‑use records, statutes, maps, and project data to generate concise, source‑cited answers for zoning, environmental, and regulatory questions. Users submit a site assignment and receive a brief that identifies what is definitively permitted, what requires judgment, and what remains uncertain, with each claim linked to the exact code or document line. The system also provides fee estimates based on project parameters, predicts political approval likelihood from public records, and scores RFP requirements against a firm’s experience. All outputs are traceable, enabling defensible decision‑making and faster preparation of entitlement or proposal documents.
Target Audience
Primary users are real‑estate developers, land‑use consultants, and public agencies responsible for entitlement analysis and project proposal preparation.
Features
- Automated extraction and citation of relevant zoning codes, General Plans, state laws, and overlay regulations for any parcel
- AI‑generated regulatory briefs that distinguish factual rules from judgment calls and highlight unknowns
- Defensible fee estimation tool that applies documented fee schedules to project specifications
- Political intel module that calculates approval likelihood using historical public‑record data
- RFP response assistant that scores requirements against firm experience and flags gaps
- Exportable, citation‑rich reports suitable for client presentations, agency reviews, or legal filings