Querya is an AI-powered due diligence platform that helps real estate transaction teams close deals faster by transforming unstructured data rooms into structured intelligence. The platform automatically analyzes contracts, leases, valuations, and reports, linking every finding back to its source document for transparent, grounded answers.
Funding
Funding not disclosed
Founders
Product
Problem
Real estate transactions involve complex data rooms containing thousands of unstructured documents, such as contracts, leases, and valuations. Manually reviewing and comparing these documents is time-consuming, error-prone, and often delays investment decisions while critical risks may be overlooked.
Solution
Querya provides an intelligence layer for real estate transactions by connecting to virtual data rooms and document repositories. The platform automatically analyzes contracts, leases, valuations, and reports to extract key insightshol and compare information across documents, creating a structured and transparent view of the entire deal. Every finding is linked back to its original source, enabling transaction teams to review, validate, and act on grounded answers with confidence. By turning unstructured documents into structured intelligence, Querya helps teams identify risks earlier and accelerate their decision-making process.
Target Audience
Primary customers are real estate transaction teams, including investment firms, asset managers, and legal advisors who conduct due diligence on property acquisitions and need faster, more reliable document analysis.
Features
- Connect directly to VDRs, data rooms, or document repositories for automated document ingestion
- AI-powered analysis of contracts, leases, valuations, and reports to uncover key insights and risks
- Cross-document comparison to identify discrepancies and align information across multiple sources
- Transparent intelligence layer with source-linked findings for full auditability and verification
- Repeatable workflows that standardize due diligence processes across transactions