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ปัญญาประดิษฐ์ ภาษาไทย AI that works in Thai, priced in baht.
ThaiGPT+ runs on Thai models, hosted in Thailand, and improved by Thai contributors. Drafting, document Q&A with citations, translation, dialect and voice — on a phone, on a desktop, or through an API you can call from anything. The + is what comes next: vision, hearing, and a router that picks the right model for you.
질문을 고르면 ThaiGPT+가 어떻게 답하는지 볼 수 있습니다.
제품
Four surfaces, one brand.
A mobile app built for a phone-first market with the highest mobile penetration in Southeast Asia. A desktop workspace built for institutions. An API built for everyone else. And the training loop that keeps improving what sits behind all three. These are live, interactive previews — click through them.
모바일 — 음성이 먼저, 오프라인에서도 작동
Thailand has around 135 mobile connections for every 100 people. The phone is not a secondary surface here, it is the surface. The microphone is the primary control: Thai keyboard input is slow, and speech reaches users who read slowly or read a different dialect than they speak.
회선이 바뀌어도 보이는 건 앱입니다. 오류 화면이 아니라.
Thailand is phone-first by a wider margin than almost anywhere: more mobile connections than people, and most of the country reaching the internet through one. The app is designed for the connection people actually have, and it keeps working when they have none.
- 전체 모델, 전체 맥락
- 출처가 달린 문서 질문
- 음성 입력과 음성 출력
- Live translation TH ↔ EN ↔ ZH
모든 답변은 바트으로 계산되며, 처리한 리전이 표시됩니다.
태국어로 답합니다.
ผมไม่มีราคาตลาดแบบเรียลไทม์
I don't have live market prices. I can show this week's ministry bulletin, or draft a message to your co-op.
초안이 나왔습니다 — 46낱말, 평이한 문체. 보내기 전에 눌러서 고치세요.
마이크를 누르세요 — 음성이 주된 조작 수단입니다
The models
One family, six jobs.
A single Thai model is the wrong shape for a country where the same platform has to answer a ministry's 400-page regulatory corpus and a farmer's question on a phone with no signal. ThaiGPT+ ships a family, and the router picks between them. Sizes and context windows are targets for the pre-release, not benchmark results.
Four ways to say the same thing
This is the part that has no Lao equivalent and no off-the-shelf answer. Thai is not one language in practice: around a third of the country speaks a regional variety at home and writes Central Thai at work, and a model that only knows the written standard cannot hear half its users.
The written standard. What every general-purpose model has seen, and roughly all it has seen.
The largest regional variety, spoken across the northeast and close enough to Lao that the work crosses the border in both directions.
Northern Thai, with its own historic script still in liturgical and heritage use.
Southern Thai — fast, heavily contracted, and the variety speech systems get wrong first.
And five ways to be polite about it
Register in Thai is not a tone setting, it is a different vocabulary. Getting it wrong in a letter to a ministry is not a style error, it is a social one — and it is the single thing a foreign model is most reliably bad at.
- 1ราชาศัพท์ · royal
- 2ภาษาราชการ · official
- 3ทางการ · formal
- 4สุภาพ · polite
- 5ภาษาพูด · plain
Register is a request parameter, not a prompt instruction — so it is auditable, and a workspace can pin it.
See how the router picksSmart routing
One endpoint. The right model, every request.
Most requests do not need the biggest model, and some must never leave the phone. ThaiGPT+ reads each request before a token is generated, and decides which model answers it, which pipeline it goes through, and which region it is allowed to run in. You call one endpoint and never pick a model again.
How the router worksComing soon Roadmap — not yet shipped
Next: it learns to see, read and hear Thai.
Text was the first sense. ThaiGPT+ Vision, Scribe and Voice add the others — a model that can be shown a photographed form, a stamped and scanned circular, a handwritten minute, a shelf, a leaf or a prescription label, and answer about it in Thai.
ThaiLLM-Vision
Photographs, screenshots, charts, shelves, scenes, forms. Answers about what is in the frame, in Thai, with the region it was served from.
ThaiLLM-Scribe
The document specialist: stamped, scanned, skewed, multi-column, part-handwritten Thai paperwork into structured fields you can put in a database.
ThaiLLM-Voice
Thai speech recognition and synthesis across the four regional varieties, including the common case of a question asked in Isan that has to be answered in Central Thai — or the reverse.
Cross-modal
The one that matters: a photograph and a spoken question in the same request, answered against your own documents. This is the capability the separate models exist to make cheap.
플랫폼
PrivateGPT-Asia의 역량 그대로.
ThaiGPT+는 프라이빗 AI 애플리케이션 계층을 새로 만들지 않고 완성된 것을 이어받습니다. 아래는 모두 플랫폼이 제공하는 기능이며, 첫날부터 사용할 수 있고 국내에서 실행됩니다.
출처가 달린 검색
출처가 된 쪽과 문단까지 추적되는 답변. 열어서 확인할 수 없는 주장은 쓸 수 없는 주장입니다.
문서 적재
PDFs, scans, spreadsheets and office documents — including Thai documents that were typed, printed, stamped, then scanned again.
도구와 MCP
모델이 내용을 추측하는 대신 Model Context Protocol로 귀사의 시스템을 호출합니다.
스킬
조직에서 반복되는 업무를 위한 기성 절차. 공문, 보고서 서식, 점검표 등입니다.
Text-to-SQL
자체 테이블에 대해 질문에 답합니다. 질의문이 표시되어 담당자가 검증할 수 있습니다.
즉시 API 호환
Claude API와 같은 형태의 인터페이스. 기존 클라이언트는 기본 URL만 바꾸면 태국 내 엔드포인트를 향합니다.
놓아둔 자리에서 돌아갑니다
국내 서버, 자체 시설, 또는 완전한 망 분리. 해외 사업자를 거치는 우회는 필요 없습니다.
아무것도 밖으로 나가지 않습니다
정책이 아니라 설계에 의한 프라이버시. 데이터는 플랫폼을 배치한 환경 안에 머무릅니다.
그리고 여기에만 있는 부분
The platform gives ThaiGPT+ everything above on day one. Eight endpoints exist because Thai needs them and no general-purpose vendor is going to build them: word segmentation for text written without spaces, normalisation of Buddhist Era dates and Thai numerals, translation with register control, transliteration to and from RTGS, speech, dialect conversion, honorific grading, and Thai document OCR.
비용이 낮은 이유
외국 모델에서는 태국어가 더 비싸다.
Thai is written without spaces between words, is tonal, stacks up to four levels of vowel and tone mark around a single consonant, and carries heavy Pali-Sanskrit vocabulary. General-purpose tokenizers fragment it badly — often to the character — so a Thai user pays a multiple of the English price per sentence and gets a worse answer back. A Thai-optimised tokenizer attacks both sides of that ratio.
สรุปเอกสารนี้เป็นภาษาไทย
“summarise this document in Thai”
Thai is written without spaces between words, so a tokenizer trained on spaced languages falls back to characters — and a stacked vowel or tone mark often becomes a token of its own. You pay per fragment.
Trained on Thai, it segments close to real word boundaries and keeps a stacked cluster whole — fewer tokens in, more context per request, and a better answer out.
물량이 늘면 이런 모습입니다
귀사의 사무실이나 앱이 하루에 실제로 처리하는 태국어 양을 끌어서 설정하세요. 토큰 수는 위 문장을 기준으로 환산됩니다.
Late-2025 measurements, DataReportal Digital 2026: Thailand. Used for product sizing.
데이터 소재지와 동의
주장하는 것이 아니라, 확인할 수 있는 것.
“주권”이라는 단어는 누구나 슬라이드에 적을 수 있습니다. ThaiGPT+가 그것을 밖에서 검증 가능하게 만든 곳은 다음 네 군데입니다. 정책 문서가 아니라 제품 안에 있습니다.
The residency badge is one of the three places the kranok signature is used at all. It stays in permanent view in the institutional workspace.
"region": "th-bkk-1"모든 API 응답이 이를 처리한 리전을 함께 실어 보냅니다. 데이터 소재지는 안내 책자의 문구이기를 멈추고, 귀사의 시스템이 검증할 수 있는 필드가 됩니다.
off unless you turn it on제품 소식과 평가 데이터 활용은 서로 별개의 결정입니다. 어느 쪽도 미리 체크되어 있지 않고, 둘 다 바꿀 수 있으며, 철회는 처리 경로 끝까지 반영됩니다.
logged · exportableWorkspace activity is logged and exportable, so an institution can answer its own oversight questions — including under the PDPA — without asking us for a report.
egress: blockedAn institutional workspace can pin itself to a region, and the router declines rather than reaches for a model outside it. On-premise and air-gapped deployments are supported by the platform.
협업
세 회사, 하나의 플랫폼.
ThaiGPT+는 껍데기만 바꾼 제품도, 재판매 계약도 아닙니다. 각 파트너가 서로 다른 계층을 맡고, 제품은 셋이 만나는 지점에서만 존재합니다.
XTND Thailand brings ThaiGPT+ to market. It owns the relationship with the people and institutions who use it — ministries, universities, hospitals, banks, schools and the public — and it carries the commercial model: baht-denominated pricing, prepaid credit through PromptPay and local bank rails, and free access for education.
- Market entry, distribution and institutional onboarding
- Baht pricing, prepaid credit, PromptPay and local bank rails
- The Thai contributor programme behind the training loop
XTND Dynamics builds the product. Part of XTND Group, it takes the PrivateGPT-Asia platform and turns it into four shipping surfaces — a mobile app, a Windows and web workspace, a developer API and a training platform — then engineers the Thai layer that no general-purpose platform provides, including the router and the multimodal pipeline.
- 플랫폼 위의 모바일·데스크톱·웹 앱
- Thai segmentation, normalisation, register, dialect and speech services
- The router, the multimodal pipeline and the consent ledger
PrivateGPT-Asia가 아래층 플랫폼이자 PrivateGPT의 역내 거점입니다. 출처가 달린 검색, 문서 적재, 도구, MCP, 스킬, text-to-SQL까지 프라이빗 AI의 애플리케이션 계층 전체를 Claude API와 같은 형태의 인터페이스 뒤에 갖췄습니다. 국내에서도, 자체 시설에서도, 망과 완전히 분리된 환경에서도 돌아가며 데이터는 환경 밖으로 나가지 않습니다.
- 검색, 적재, 출처까지 추적되는 답변
- 자체 데이터에 대한 도구, MCP, 스킬, text-to-SQL
- 즉시 API 호환과 망 분리 환경 운영
누가 무엇을 맡는가
위의 파트너나 아래의 계층에 마우스를 올리면 각자의 작업이 어디 있는지 보입니다. ThaiGPT+는 상업 플랫폼 계층이며, 모델도 데이터센터도 의도적으로 보유하지 않습니다.
애플리케이션 플랫폼은 PrivateGPT-Asia입니다. 역내에서 돌아가는 것과 같은 프라이빗 AI 계층을 태국를 위해 국내에서 운영합니다.
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참여 방식을 고르세요.
세 개의 그룹이 열려 있습니다. 하나를 고르면 아래 양식이 설정됩니다 — 거기서 바꿀 수도 있습니다.
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- 항목 세 개, 따로 찾아볼 것 없음
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