JIGO CRE is an AI‑driven platform that centralizes commercial lease documents for brokers, automatically extracts key terms, and verifies them against LOI specifications. It flags unusual clauses, generates professional lease abstracts, and sends smart alerts for critical dates like renewals, helping brokers focus on prospecting and negotiation while reducing errors and missed deadlines.
Funding
$700K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Commercial real estate brokers spend extensive time manually reviewing, organizing, and tracking lease documents, which diverts effort from client acquisition and deal negotiation. Inconsistent document handling and missed deadlines can lead to errors, lost opportunities, and reduced revenue.
Solution
JIGO CRE offers an AI‑driven platform that centralizes lease documents, automatically extracts key terms, and verifies them against LOI specifications. The system highlights unusual clauses, generates professional lease abstracts, and provides smart alerts for critical dates such as renewals. By automating these tasks, brokers can focus on prospecting and negotiating while maintaining accurate, up‑to‑date lease data. The platform is hosted securely in the cloud, enabling easy access and collaboration across teams and offices.
Target Audience
Primary users are commercial real estate brokers and lease analysts at brokerage firms who manage multiple lease transactions and need efficient document review and deadline tracking.
Features
- Centralized, secure repository that organizes all deal documents by client or transaction
- AI‑powered term verification that compares lease drafts to LOI terms and flags mismatches
- Automatic lease abstract generation that extracts and formats essential information in seconds
- Intelligent notification engine that calculates dates and sends alerts for renewals, expirations, and other milestones
- Red‑flag detection that identifies uncommon or potentially problematic lease provisions for review
- Upcoming market data benchmarking integration with providers such as CompStak, Reonomy, and CoStar for data‑driven term comparison