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Kobkrit Viriyayudhakorn
CEO @ iApp Technology
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The Defence Technology Institute and iApp Technology sign an MoU on research and development of an AI-supported learning system

· One min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

The MoU signing between the Defence Technology Institute and iApp Technology Co., Ltd.

Photo: Defence Technology Institute

The Defence Technology Institute and iApp Technology Co., Ltd. signed a memorandum of understanding on the research and development of an AI-supported learning system to strengthen personnel capability. The memorandum was signed by General Dr. Charat Umsamrit, Director of the Defence Technology Institute, and Dr. Kobkrit Viriyayudhakorn, Managing Director of iApp Technology Co., Ltd., with General Porpol Maneerin, former Chairman of the Board of the Defence Technology Institute, as witness, in the Ratchaseni Phithak Room on the 10th floor of the DTI building.

ChindaMT: Thai-English translation that follows your rules, published at AACL-IJCNLP 2026

· 6 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

ChindaMT, instruction-following Thai-English translation, published at AACL-IJCNLP 2026

Today we are releasing ChindaMT, a family of Thai-English translation models that follow the rules you give them: the term to use, the tone to write in, the length and the format. The research behind it is published at AACL-IJCNLP 2026 (Main Conference). The models, the training data, the evaluation suites and the code are open under Apache 2.0, and ChindaMT-4B is available now as a hosted API.

Try it: ChindaMT Translator · API: documentation and live demo · Paper: arxiv.org/abs/2609.34770 · Weights: huggingface.co/iapp/ChindaMT-4B

NVIDIA highlights OpenThai 2.0 Legal at AI Day Singapore

· 3 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

OpenThai 2.0 Legal, the open-weight Thai legal model

On 22 September 2026, NVIDIA published its round-up of NVIDIA AI Day Singapore (Raffles City Convention Centre, 22–23 September). Under the heading "Southeast Asia Technology Leaders Build With NVIDIA Nemotron Open Models for Region-Specialized AI", Thailand is represented by iApp Technology, the Big Data Institute and OpenThai 2.0 Legal, our open-source Thai legal model.

OpenThai-SystemOne — an open Thai and English System One model you can run on a laptop

· 7 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

OpenThai-SystemOne, an open Thai and English System One decision model, released 20 September 2026

Tonight we are releasing OpenThai-SystemOne, an open-source Thai and English System One decision model: 0.8B parameters, Apache 2.0, weights and training recipe on Hugging Face and GitHub, and a free hosted API on api.iapp.co.th.

It does not write. It decides. Send it a state and typed questions; it returns a calibrated probability for every option of every question in one forward pass, with zero output tokens.

Model page: iapp.co.th/openmodels/openthai-systemone · Weights: huggingface.co/iapp/OpenThai-SystemOne · Code: github.com/iapp-technology/openthai-systemone · Try it: API playground

iApp Image Generation 1.1.0 — เพิ่มความเป็นไทยและความสมจริงเข้าไปอีก: more Thai, more realistic

· 3 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

iApp Image Generation 1.1.0 — a keynote scene generated from the prompt "ดร.กอบกฤตย์ วิริยะยุทธกร กำลังบรรยายบนเวที…" with the headline "ปัญญาประดิษฐ์ไทย ก้าวไกลระดับโลก" on the LED wall

One day after launch, iApp Image Generation moves to version 1.1.0. The theme of this release is เพิ่มความเป็นไทยและความสมจริงเข้าไปอีก: more Thai, more realistic. Thai text now looks like part of the photograph rather than a label placed on top of it, the model knows Thai public figures by name, and you can hand it a reference image of your own.

iApp Technology launches iApp Image Generation — the first Thai-made AI image generation model, with Thai text rendered exactly as written

· 4 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

iApp Image Generation — AI สร้างภาพ ฝีมือคนไทย ภาษาไทยแม่นยำ 100%

The following is the official press release issued on 2 September 2026.

Bangkok, 2 September 2026 — iApp Technology today launched iApp Image Generation, the first AI image generation model built by a Thai team for the Thai language. Developed by the iApp Technology team, the service produces posters, shop signs, greeting cards, product labels, presentation slides and social-media graphics in which the Thai text appears exactly as the user typed it — every consonant, vowel and tone mark in place. It is available today to every iApp AI API account at a preview price of 1.5 IC per image, half the list price of 3 IC.

AI Thai License Plate Recognition (LPR) Version 3.0 Released

· 3 min read
Kobkrit Viriyayudhakorn
CEO @ iApp Technology

iapp-lpr-v3

Dear Users,

We are pleased to announce the release of version 3.0 of our License Plate Recognition (LPR) API. This release replaces the vehicle make/model recognition engine with a new deep-learning classifier built specifically for the Thai car market — the largest accuracy improvement in the product's history.

What's new in version 3.0:

  • Vehicle brand & model accuracy improved dramatically — brand accuracy 99.4% (up from 38.5%) and make+model 99.18%, measured on 853 real photos of today's Thai traffic. The previous engine was built for the market of its era — much of today's traffic consists of 2020–2026 models and EV brands that simply didn't exist in its catalog, which is exactly what version 3.0 fixes
  • Supports the newest cars — the recognition catalog now covers 73 models across 17 brands in the current Thai market, including 2020–2026 models and Chinese EV brands such as BYD, MG, GWM and Neta that previous versions could not identify
  • New: fuel type & EV detection — every identified vehicle now reports its fuel type (EV / Hybrid / Petrol / Diesel), enabling EV analytics for parking and smart-city use cases
  • New: confidence scores — make/model confidence and an independent logo-brand verification are included in every response
  • New: neighbor-country plates — Malaysia (production), Myanmar (beta) and Laos (detection-only)
  • Reliable on gate cameras — brand recognition stays correct and consistent even on tight close-up framing from parking and village entrance cameras