Overview
Buying a condo should be exciting — not stressful. Yet in Canada, buyers often face unexpected financial risks, such as surprise special assessments exceeding $60,000.
CondoScan, a Calgary-based startup, is addressing this critical problem by providing fast, comprehensive evaluations of condo financial health and lifestyle fit.
In just six months, CondoScan has gone live with a production solution that significantly reduces the time needed to review condo documents — from weeks to minutes — powered by LlamaIndex and LlamaParse.
The Challenge
Condo purchases in Canada often involve a complex and risky manual review process:
- Buyers must review 10–40 documents per property, totaling hundreds of pages (meeting minutes, financials, budgets).
- Manual reviews by experts can take ~2 weeks and still miss crucial risks.
- Buyers risk facing massive financial liabilities after purchase if issues are overlooked.
CondoScan set out to create a better system — one that could reduce review time, improve accuracy, and surface financial risks proactively.
The Solution: LlamaIndex + LlamaParse
CondoScan built a next-generation condo evaluation tool by deeply integrating LlamaIndex and LlamaParse into its core workflows.
Document Processing
- LlamaParse is used to prepare condo documents — including meeting minutes, reserve fund studies, and budgets — for vector database ingestion.
- Hundreds of pages per condo are parsed, cleaned, and structured automatically.
Knowledge and Analysis
- LlamaIndex powers all LLM interactions — from ingestion to retrieval to reasoning.
- Architected using Agent workflows, the CondoScan agent predicts financial loss risks, evaluate HOA (Homeowners Association) governance, and benchmark properties against industry standards.
- The system cross-references internal condo documents and external regulations (e.g., Alberta’s Condo Act).
End-User Experience
- CondoScan generates detailed, shareable reports that assess both financial and lifestyle risks.
- An integrated chat feature, built with agent workflows, allows users to ask natural language questions about a condo’s health.
Why CondoScan Chose LlamaIndex
Initially, CondoScan experimented with another leading framework — but found it limited. They choose LlamaIndex because of:
- Superior Agent Workflows: LlamaIndex’s workflows allowed agents to "think," reason, and select tools dynamically — unlike static prompt chains in other frameworks.
- Better RAG and Query Engines support: LlamaIndex offered superior pipelines and retrieval quality.
- Streamlined ETL: Document ingestion and processing were faster and more robust with LlamaIndex.
- Accuracy: LlamaParse’s highly accurate parsing ensures that no details are missed.
Ewan May, founder of CondoScan, noted:
“LlamaIndex felt like it was six months to a year ahead of alternatives. Setting up agent workflows was straightforward, and it actually feels like the system thinks — not just runs through steps.”
By building on LlamaIndex’s open-source foundation, CondoScan is setting a new standard for condo purchase transparency — and helping buyers make smarter, safer investments.
- Learn more about LlamaCloud, the turn-key enterprise solution from LlamaIndex
- Read up on Workflows, the core building block of agentic solutions in LlamaIndex
- Get in touch with us to see where LlamaIndex can take your company!
