Kobkrit Viriyayudhakorn

2026 年 10 月 20 日，iApp Technology 将车牌识别的价格从每张图片 0.75 IC 下调至 0.25 IC。同时推出三种 Gate 包月套餐，供每天识别车牌的系统选用。端点、请求格式和返回结果均保持不变。

2026 年 10 月 17 日，iApp Technology 更新了服务条款（英文版），修正了与 API 实际销售和使用方式不符的条款。价格、点数与 API 调用方式均保持不变。

图片：泰国国防技术研究院

泰国国防技术研究院（Defence Technology Institute）与 iApp Technology Co., Ltd. 签署合作备忘录，共同开展以人工智能辅助学习、提升人员能力的系统研发。备忘录由泰国国防技术研究院院长 General Dr. Charat Umsamrit 与 iApp Technology Co., Ltd. 总经理 Kobkrit Viriyayudhakorn 博士共同签署，泰国国防技术研究院前董事会主席 General Porpol Maneerin 担任见证人。签约在国防技术研究院大楼 10 层 Ratchaseni Phithak 会议室举行。

今天，我们发布 ChindaMT。这是一个泰英翻译模型系列，能够遵循您给出的规则：使用哪个术语、采用何种语气，以及长度和格式。相关研究发表于 AACL-IJCNLP 2026（主会）。模型、训练数据、评测集和代码均以 Apache 2.0 许可开放，ChindaMT-4B 现已作为托管 API 提供。

试用：ChindaMT 翻译器 · API：文档与在线演示 · 论文：arxiv.org/abs/2609.34770 · 模型权重：huggingface.co/iapp/ChindaMT-4B

2026 年 9 月 22 日，NVIDIA 发布了 NVIDIA AI Day Singapore（9 月 22–23 日，莱佛士城会议中心）的综述文章。在 "Southeast Asia Technology Leaders Build With NVIDIA Nemotron Open Models for Region-Specialized AI" 一节中，泰国的案例是 iApp Technology、泰国大数据研究院（Big Data Institute）以及我们的开源泰国法律模型 OpenThai 2.0 Legal。

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

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.

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.

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