AI development for Thailand, from 1,800 engineers.

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 your named delivery owner is reachable inside your own working hours. If you need people on site in Bangkok for a workshop, say so at scoping and we will plan the travel rather than pretend it is not travel.

Not yet, and we will not dress up work from another market as local. What we can show is delivered AI: an agentic purchase order pipeline for American Lighting that moved from about 250 orders a day to between 400 and 1,000, and a hearing evaluation model for Intermountain Hearing that has run over five million assessments. We have delivered Odoo, Adobe Commerce and Magento work for groups trading into Thailand, which you can read on our Odoo ERP in Thailand and ecommerce development in Thailand pages.

Training and fine-tuning data carry their own obligation, separate 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, record the lawful basis for every field, and keep a note of what was excluded and why. A model that has memorised personal data cannot be made to forget it on request, which is why that decision is taken before training rather than after.

Wherever your policy requires, stated in writing before the build starts. Azure, AWS and Google Cloud each let you pin training jobs, feature stores, vector stores and inference endpoints to a chosen region, and we use a Thailand region where your provider offers one and the nearest regional one otherwise. The architecture note names the region for each of those four things, because they are four separate decisions and buyers usually only ask about the first.

Yes, and it needs deliberate engineering rather than a language setting. Thai is written without spaces between words, so segmentation happens before text is indexed, chunked for retrieval or matched. Business documents carry Buddhist Era dates, thirteen digit national ID numbers and Thai address formats, all of which have to be recognised and normalised. Mixed Thai and English in the same record is normal and is handled as such.

That is the usual shape of the work. Our delivery runs through Odoo, Adobe Commerce, Magento and Microsoft Power BI, so a forecast, a document pipeline or a copilot is wired into the system your staff already open each morning, through its own APIs, rather than arriving as one more login to learn. The American Lighting pipeline is exactly that pattern: Zendesk in at one end, Adobe Commerce draft orders out at the other.

You set the threshold, not us. Each model ships with an evaluation suite: a held-out test set, the metrics that matter for the decision it makes, an error analysis showing where it fails and on which kinds of record, and a documented fallback for when confidence drops below the agreed line. The walkthrough happens with your team before release, not after.

Less than most teams assume for narrow tasks, more than they hope for open-ended ones. Classification and document extraction can work from a few thousand labelled examples. A demand forecast needs enough history to cover a full seasonal cycle. Discovery starts by reading what already sits in your ERP, commerce and support systems, and where the data is not there yet the first phase builds the collection instead of a model on thin ground.

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