HOW WE USE DATA
Referenced, not replicated
How Buildcase builds construction knowledge from published industry evidence.
The curation process
Buildcase does not republish, redistribute, or store the expression of third-party content in its production dataset. The platform's curation process mirrors how any construction professional builds working knowledge: read the published evidence, extract the decision-relevant insight, write it in your own language, and organise it through your own analytical framework.
Every externally sourced record passes through a three-stage transformation. The curator paraphrases the insight in Buildcase's own voice. The paraphrased summary is mapped through the platform's six-dimension tagging schema, producing structured data shaped by original analytical work. The structured record enters the production dataset with believability scores, evidence tier assignment, and content intent tags. The AI inference layer works against this production data, not the source material.
Source publications are cited for provenance. The platform's output is the intellectual product of its curation process, not a derivative of any single source.
Data governance
Canadian data sovereignty is a design principle. Data residency, access controls, and governance structures are being designed to meet federal research funding requirements and institutional partnership standards.
The platform maintains a published believability rubric that scores every record by source type, reproducibility, and source accountability. Confidence levels and evidence tiers are visible to the user, so the basis for any recommendation is transparent and auditable.