On September 12, 2025, the Thai tech landscape witnessed a significant leap forward with the launch of ChindaGo, an AI chatbot specifically designed for Thai language users. Developed by iApp Technology, a company helmed by founder and CEO Dr. Kobkrit Viriyayutthakorn, ChindaGo marks a pivotal moment for artificial intelligence in Thailand. The announcement, widely covered by Thai media including Thansettakij, underscored both the technical achievements and the broader implications for privacy and accessibility in AI applications tailored to local languages.
ChindaGo stands out not merely as another chatbot, but as a product of careful engineering and a deep understanding of the needs of Thai users. Built atop the Chinda LLM 4B model, this AI application runs natively on iPhones and iPads, specifically those powered by Apple Silicon chips with unified memory GPU. What’s especially notable is that, after an initial download and installation, ChindaGo can function entirely offline. This means users aren’t tethered to a constant internet connection—a game-changer for privacy and convenience, especially in areas with spotty connectivity or for those wary of sharing sensitive data over the cloud.
“I believe that Thai LLM technology can make AI more accessible for Thai people, while preserving data privacy and eliminating the need for a constant internet connection,” Dr. Kobkrit told Thansettakij. His confidence in the platform’s potential is echoed by the design philosophy behind ChindaGo: empower users with seamless, private, and always-available AI interaction in their native language.
The technical backbone of ChindaGo is the Chinda LLM 4B, a large language model specifically fine-tuned for Thai linguistic nuances. The application leverages the computational power of Apple Silicon, utilizing the device’s GPU and unified memory architecture to deliver rapid responses and smooth interactions. According to Thansettakij, this integration allows ChindaGo to deliver full-featured AI chatbot capabilities directly on users’ devices, sidestepping the latency and privacy concerns associated with cloud-based AI services.
Importantly, ChindaGo isn’t just a theoretical advance—it’s already being put to the test. The model has been evaluated using the LLM-as-a-Judge framework, a benchmarking system designed to assess AI’s ability to solve user-driven problems. Chinda LLM 4B scored a respectable 3.5 out of 5.0, indicating solid performance in real-world scenarios, though there’s still room for further improvement. This objective evaluation provides both transparency and a baseline for future enhancements, reassuring users that the technology is both robust and actively evolving.
ChindaGo’s dual-mode operation—online and offline—further distinguishes it in the burgeoning field of AI chatbots. After the initial installation, users can interact with the chatbot anywhere, anytime, without worrying about internet access or data leaks. This approach not only enhances privacy but also democratizes access, making advanced AI tools available to users regardless of their location or connectivity situation. For a country as geographically diverse as Thailand, that’s no small feat.
Setting up ChindaGo is intentionally straightforward. Users can download and install the application from the iOS App Store, and after a one-time download of the Chinda LLM model, they’re ready to go. For those interested in exploring the technology further, iApp Technology also offers ChindaX, a web-based version, and makes the Chinda LLM model available via Huggingface—an open-source repository that encourages experimentation and transparency in AI development.
The launch of ChindaGo is more than just a technical milestone; it’s a strategic move aimed at putting powerful AI tools directly into the hands of everyday Thai people. As Dr. Kobkrit emphasized, the goal is to “enable Thai language AI to be fully utilized in daily life, not only enhancing productivity but also maintaining the crucial privacy of every user.” This dual focus on utility and privacy is reflected in every aspect of ChindaGo’s design, from its offline capabilities to its device-centric processing.
According to Thansettakij, ChindaGo’s debut is being positioned as the first step in a broader initiative by iApp Technology to revolutionize the way Thais interact with AI. By prioritizing local language understanding and ensuring that users’ data remains on their own devices, iApp is aiming to set a new standard for responsible, user-centric AI development in Southeast Asia. The company’s approach stands in contrast to many global tech giants, whose AI services often require constant connectivity and centralize user data in remote servers—raising both logistical and ethical concerns.
The broader context for ChindaGo’s launch is a global surge in interest in large language models (LLMs) and their potential to transform industries ranging from customer service to education. However, most leading LLMs—think OpenAI’s GPT-4 or Google’s Gemini—are trained primarily on English or other major world languages, leaving a gap for local language users. ChindaGo directly addresses this gap, bringing state-of-the-art AI capabilities to Thai speakers in a way that’s both accessible and sensitive to their unique linguistic and cultural context.
For users, the practical benefits are immediate. Whether it’s drafting a text, answering questions, or helping with research, ChindaGo can handle a wide range of conversational tasks. And because it operates on-device, even sensitive queries remain private and secure. This is particularly reassuring in an age when data breaches and privacy scandals are all too common.
Of course, the journey doesn’t end here. With a solid foundation and a clear vision, iApp Technology appears committed to iterating on its initial success. The company has made it easy for users and developers alike to access the Chinda LLM model, encouraging a community-driven approach to improvement and innovation. As more Thais adopt ChindaGo and provide feedback, the platform is poised to grow smarter, faster, and even more attuned to the needs of its users.
In a world where AI is often seen as distant, complex, or even intrusive, ChindaGo offers a refreshingly grounded alternative: practical, private, and proudly Thai. The launch signals not just a technical achievement, but a meaningful step toward making advanced technology truly serve the people it’s meant to help. As the AI revolution continues to unfold, ChindaGo’s arrival is a timely reminder that innovation can—and should—be both accessible and respectful of users’ most fundamental rights.
