The Challenge
Community associations hold their rules in long governing documents that residents rarely read and administrators repeatedly interpret by hand. Checking those documents against local and state regulation was manual work, resident questions returned to the same small group of people, and finding suitable vendors meant starting a search from scratch.
Rules buried in documents nobody reads.
Documents compared to regulation by hand.
The same queries returning to the same people.
Local providers found by starting again.
Approach & Solution
smartData built the platform on React, Python and PostgreSQL using large language models with retrieval-augmented generation, so answers stay grounded in a community's own documents rather than generated generally. Community profiles are built automatically, giving each association a contextual base the assistant answers from.
Compliance analysis reads the association's documents against local and state regulation and recommends actionable steps where gaps appear, rather than only reporting them. Vendor discovery identifies local service providers automatically, and the assistant answers resident questions directly.
Key Features
Answers drawn from the community's own rules.
Association context assembled without manual setup.
Documents checked against local and state regulation.
Local service providers identified automatically.
Product Showcase
Final Outcome
Residents get answers without going through an administrator, compliance gaps surface with a recommended action attached rather than as a bare finding, and the vendors a community needs are identified rather than searched for.
