BAANLYY's building-verification program has reached a new total: 1,291 verified building profiles now live in the platform's directory, based on a live count pulled directly from BAANLYY's building database.
The bulk of that depth sits in Bangkok, where the directory holds 390 verified profiles spread across the city's rental corridors. Within Bangkok, coverage is notably even across the neighborhoods renters search most: Huai Khwang, Sathorn, Lumphini and Phrom Phong each carry 16 verified building profiles, with Thonglor close behind at 15. Ari (13 buildings), Silom (12), Victory Monument (12), Phaya Thai (12) and Ratchadaphisek (12) round out the next tier, followed by Nana (11), Sutthisan (10), Saladaeng (10) and Ekkamai (10).
That level of neighborhood-by-neighborhood granularity is the point of the program: rather than a headline building count for the city as a whole, BAANLYY is building out coverage area by area, so that a renter comparing, say, Thonglor and Ekkamai can do so against a comparable base of verified data in each.
Outside Bangkok, the update reflects the same pattern reported in BAANLYY's province-coverage milestone: Nonthaburi (107 buildings), Pattaya (99), Hua Hin (93), Phuket (90), Chiang Mai (84) and Koh Samui (43) are now substantial secondary markets in their own right, alongside a long tail of smaller provinces where BAANLYY has recently added its first verified profiles.
One distinction is worth stating plainly, because it matters for anyone using this data to make a decision: a verified building profile — developer, year built, floor count, unit count — is not the same as an active rental listing. BAANLYY's live listings inventory is, at this stage, still small: 4 verified listings are currently active on the platform, all in Bangkok, managed by 3 verified agents. The building directory and the listings marketplace are two separate, differently-paced efforts, and this update concerns the former.
For BAANLYY, expanding the building directory ahead of listings volume is a deliberate sequencing choice: reference data about a building — who built it, when, how large it is — doesn't depend on whether a unit inside it happens to be for rent this month. Getting that baseline right first is what lets a renter show up already informed, whichever building they end up looking at.