Generative AI development for Thailand, made production-ready.

No. Our published generative AI record is two builds, both outside Thailand: the Okapi text to image application on Stability Diffusion, and the agentic purchase order pipeline for American Lighting that moved from about 250 orders a day to between 400 and 1,000. We will not present either as local work. Our documented delivery for groups trading in Thailand is Odoo, Magento and Adobe Commerce, on our Odoo ERP in Thailand and Magento development in Thailand pages.

No. Brainvire has offices in the United States, the United Arab Emirates, Singapore and India, and delivers to Thailand remotely. Indochina Time overlaps a full working day with our delivery centres, so evaluation walkthroughs and design sessions are held inside your own working hours rather than after them. If you want people in Bangkok for a workshop we will plan and price the travel.

Only if the architecture lets them, which is a choice rather than a given. Enterprise inference endpoints and in region cloud deployment can keep retrieval stores, embeddings and inference near your users, in a Thailand region where your provider has opened one and the nearest alternative where it has not. We write down every call that crosses a border, including the ones reviewers do not think to ask about, such as the embedding step and the evaluation harness. Where a use case genuinely cannot be served in region we say so at design time, not at security review.

Training data carries a separate obligation from the answers the system gives. We identify which personal data sits in the corpus, minimise or de-identify it before it reaches a model where the use case allows, keep a record of what was excluded and why, and prefer retrieval over a governed store to tuning on customer records. A model that has memorised personal data cannot be made to forget it on request, which is why that decision is taken first.

Yes, with engineering rather than a language setting. Thai is written without spaces between words, so segmentation has to happen before text is chunked for retrieval, indexed or matched. A splitter tuned for English will cut Thai mid-word and quietly wreck retrieval quality. Business documents also carry Buddhist Era dates, Thai address formats and thirteen digit national ID numbers, and mixed Thai and English inside one record is normal. We handle all of that at the pipeline layer and test it on your own documents.

Retrieval grounding first, so answers come from your content with the source attached and a plain refusal when the content is not there. Then evaluation suites that measure accuracy on your own questions before and after every change, so a model swap is a measured decision rather than a hunch. Then a person in the loop for anything that moves money, data or a customer commitment. On the American Lighting pipeline that last part is explicit: routine orders flow straight through, partial mappings continue with flagged gaps, and genuine failures route to a human.

Both, chosen per use case against accuracy, latency, cost and where the data is allowed to travel. Brainvire is an OpenAI partner and also builds on Claude, on open models and, for image generation, on Stability Diffusion, with the data and lakehouse layer on our Databricks partnership.

Systems are built model agnostic wherever practical, with the prompt layer, the retrieval layer and the evaluation suite kept separate from the model itself. When a newer model appears it is run against your own benchmark before anything switches, so adoption is a measured decision rather than a reaction to a launch. Residency is re-checked at the same time, because a new model often means a new endpoint in a new region. The switch itself rides the release pipeline our DevOps team sets up.

We work in English. Calls, documentation and support for Thailand are delivered in English by our Singapore team.