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How CondoScan uses LlamaIndex

weeks to minutes

“significantly reduces the time needed to review condo documents — from weeks to minutes”

As published on llamaindex.ai. Captured by usedby on Oct 7, 2026.

What happened

CondoScan, a Calgary-based startup, uses LlamaParse to parse and structure condo documents for vector database ingestion, and LlamaIndex agent workflows to power LLM retrieval, risk analysis and reasoning. It uses these to generate shareable condo evaluation reports and an in-app chat for buyers.

Summary written by usedby from the source page, in English. The figures are those of LlamaIndex and CondoScan, not ours.

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.

From the page. llamaindex.ai, captured Oct 7, 2026

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.

Ewan May, founder of CondoScan, CondoScan. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: weeks to minutesCheckedPrinted word for word on the page, near the name of CondoScan.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of CondoScan.
  • CondoScan uses LlamaIndexCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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