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Ploti Launches AI Property-Records Platform Covering 40 States

Ploti says its new AI-connected property-data platform spans 40 states and more than 57,000 local datasets, with source-traceable zoning and permit records.

Aerial view of a detached house and surrounding residential property
Illustrative residential property image. Photo: Sophie N / Unsplash.

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Summary

Ploti launched a property records data platform that connects local government sources with AI assistants.

Ploti has launched a property-data service built for artificial intelligence assistants, promising direct access to local government records that real estate investors and developers typically assemble from separate zoning, permit, ownership and land-use systems.

The Winter Garden, Florida, company announced the product October 14. It says the platform can retrieve and maintain public datasets from county and municipal sources, attach source references to answers and let users query those records through compatible AI tools.

Ploti reports identifying 57,818 local datasets and offering searchable information across 40 states. Those are company-reported coverage figures. The announcement does not include an independent audit of completeness, refresh frequency or the accuracy of extracted records.

The product is aimed at a real problem in land acquisition. Ownership records may be held by a recorder, zoning information by a planning department, permit activity by a separate building office and utility maps by another agency. Each jurisdiction may use different formats and update schedules. Research teams can spend substantial time finding the authoritative document before they can evaluate a property.

Ploti says its software agents search government portals, geographic information systems and meeting archives, read documents and compile data. When a county does not publish a requested dataset, the company says its system can contact local officials and manage the exchange. The firm describes the resulting database as source-traceable rather than relying solely on answers generated from an AI model’s general training.

Source references are valuable, but they do not eliminate verification. A government database can contain errors, an ordinance may have been amended, and a rezoning approval can carry conditions that are not obvious in a summary. Real estate professionals still need to check official records, effective dates and property-specific restrictions before relying on the output for a purchase or financing decision.

The company says users can connect compatible AI assistants through the Model Context Protocol, or use Ploti’s own web and desktop interface. It advertises self-service pricing beginning at $50 per county per month, with a seven-day trial. Prices and supported integrations are the company’s current representations and may change.

Ploti also cited a customer project in which its agents reconstructed 20 years of rezoning votes from 1,823 meeting documents in two and a half days. The announcement does not identify an independent reviewer or provide a comparison of the resulting records with a verified official dataset.

For land brokers, builders and commercial developers, the potential value is earlier discovery of parcels, faster due diligence and easier access to records outside a firm’s usual markets. Lenders and title professionals may also find historical permits and ownership information useful, though any automated result would need to be checked against the records and legal standards applicable to the transaction.

The release does not establish that the platform replaces a title search, survey, zoning opinion or environmental assessment. Those services require specific professional judgments and, in some cases, legal responsibility that a general data tool does not assume.

Ploti enters a crowded market for property intelligence and AI-assisted research. Its differentiator, according to the company, is automated acquisition of local-government data with traceable sources. Customers will have to judge the depth, timeliness and reliability of that coverage in the counties where they actually operate.

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