Buying property in Costa Rica involves reviewing dozens of sources: the National Registry, cadastre, SETENA, municipalities, survey maps, easements, liens, annotations, mortgages. An experienced attorney takes between 3 and 10 business days to complete a thorough due diligence.
The scattered data problem
The information exists, but it’s fragmented:
- National Registry: folio real, ownership, liens — accessible but requires manual queries
- Cadastre: survey maps and coordinates — in formats that are difficult to process
- Municipalities: taxes, permits, land use — each with its own system
- SETENA: environmental viability — a separate database
- Case law: rulings from the Agrarian Court and Sala Primera relevant to the property
A professional has to visit or query each source separately, cross-reference information manually, and write the report.
What AI makes possible
Our RAG (Retrieval-Augmented Generation) system is trained on these Costa Rican sources and can:
- Query the folio real and extract ownership history, liens, and annotations
- Cross-reference cadastral data to verify alignment between registered and physical area
- Identify relevant case law based on the property type and zone
- Generate a preliminary report in minutes with findings and alerts
The system doesn’t replace the attorney — it empowers them. The professional receives a structured report and can focus on analysis, not data gathering.
Current status
The product is in active development. If your company regularly performs property due diligence and is interested in joining the pilot program, contact us.
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