# DealLabs Builds Travel AI Data Layer with 280,000 Verified Local Records Across Seven Asian Cities

- Link: https://www.thailand-business-news.com/pr-news/deallabs-builds-travel-ai-data-layer-with-280000-verified-local-records-across-seven-asian-cities-2
- Published: 2026-10-28T20:00:00+07:00
- Author: PR Newswire

SEOUL, South Korea, Oct. 28, 2026 /PRNewswire/ — Seoul-based travel data company
DealLabs announced that it has built a database of verified local travel information
for seven Asian cities: Seoul, Busan, Tokyo, Osaka, Bangkok, Taipei, and Singapore.
As of October 13, the database contained more than 280,000 records, each accompanied
by its source and verification date. It powers more than 23,000 guide pages and 
is published in formats AI systems can read directly.

[⌊DEALLABS VERIFIED LOCAL DATA FOR TRAVEL AI ACROSS 7 ASIAN CITIES (OCTOBER 2026)⌉⌊
DEALLABS VERIFIED LOCAL DATA FOR TRAVEL AI ACROSS 7 ASIAN CITIES (OCTOBER 2026)⌉[
DEALLABS VERIFIED
LOCAL DATA FOR TRAVEL AI ACROSS 7 ASIAN CITIES (OCTOBER 2026)

It covers what travelers look for after arriving: subway station exits, timetables,
first and last trains, fares, restaurants, tourist attractions, hospitals, closing
days for Singapore’s hawker centers, and business hours for Taipei’s night markets.
In Osaka alone, the database contains more than 114,000 records, including more 
than 42,000 medical institutions and pharmacies and more than 30,000 restaurant 
permits. In Taipei, it contains more than 63,000 records, including 7,200 station-
to-station fares.

The number of times generative AI search and answer services accessed DealLabs’ 
data increased from around 600 times per day on a seven-day average in late September
to more than 11,000 times per day in mid-October, nearly 20-fold in less than a 
month.

Travel information changes rapidly. On the same day, public event listings and organizers’
own notices gave different end dates for three of 25 pop-up stores in Seoul, up 
to 10 days apart. Business hours, closing days, last train times, and fares are 
among the areas where AI travel answers are most frequently inaccurate. DealLabs
continuously updates this information using official sources.

All seven cities have AI-ready guide files (llms.txt) and data APIs, while Seoul
also provides a standard API specification (OpenAPI). The seven cities are run using
a single common engine, allowing a new city to be added simply by incorporating 
that city’s data and sources.

DealLabs is also piloting "Visit Plan Check," which checks travel AI itineraries
against official sources daily.

Young Cho, founder and CEO of DealLabs, said, "When travelers ask AI a question,
what matters is whether the answer is accurate for that city today. We will establish
a standard for local data that travel AI can rely on."

DealLabs plans to expand its coverage to 10 cities by the end of 2026 and to 30 
cities, including New York and Paris, by 2028.

For more information, please visit [https://deallabs.net](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Flinkprotect.cudasvc.com%2Furl%3Fa%3Dhttps%253a%252f%252fdeallabs.net%26c%3DE%2C1%2CwiDrm_qwD9iZEpTkm3P91sHekNqRnv4xz9dI8a4SjyuMAFvwkzMyGvjn4ErspO170hgwNngvh28ZYjPBxQCfmMFg3t29wWfzjUuzxyJphCIcG9M%2C%26typo%3D1&data=05%7C02%7Ccnhubs%40N0151C.onmicrosoft.com%7C3d7f3c4ff8ae44559ec808df33f9d7d5%7C887bf9ee3c824b88bcb280d5e169b99b%7C1%7C0%7C639286820329486231%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=cXvkxStKE8KD3s5%2B5z7AJ9%2BMgnx3IOl1Z9Bu%2FClZ%2BuU%3D&reserved=0).

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