LLM App Development in Thailand
RAG applications, AI agents, and LLM integrations grounded on your own data — with guardrails, evals, and cost caps. Typical build: 15–40 man-days (฿119,850–319,600).
Note: We build and maintain the LLM application; you own the model API keys and pay provider usage (OpenAI/Anthropic/etc.) directly.
Why Thailand needs this
Our home market — Greater Bangkok engineering team, Thai-language delivery, PDPA compliance, and transparent THB pricing across every industry we serve.
A RAG or agent MVP typically runs 15–40 man-days at our starting rate of ฿7,990/man-day — ฿119,850–319,600: RAG chat over company data at the low end; multi-step agents with tool use at the high end. Guardrails, eval suites, and hard cost caps are included in that scope — not paid add-ons. Model usage is billed by the provider at cost, inside caps we set together.
- RAG grounded on YOUR data: chunking, embeddings, and retrieval tuned and measured on your documents — not generic LLM guesses
- LLM cost engineering: caching, model routing, and token budgets — monthly spend stays predictable, no runaway bills
- Eval suites before launch, so answer quality is a measured number — not vibes
- Agent workflows with human handoff: the AI runs the routine steps, people approve the ones that matter
- Provider-portable: OpenAI, Gemini, Anthropic, or local models behind one interface — swap without re-platforming
Example prices by project type
| Project type | Man-days | Price from (THB) |
|---|---|---|
| RAG document application | 15–40 | THB 119,850–319,600 |
Calculated at the starting rate of ฿7,990/man-day. Planning ranges, not fixed prices.
Freelancer, big agency, or us — what’s the difference?
Don’t compare price alone. Check who looks after your project.
Freelancer / marketplace
- Flexible pricing, good for small clear tasks
- You may have to manage and check the work yourself
- If they get busy, the work can stall
- Agree the code handover in writing
Larger agency / consultancy
- Big teams, suited to large complex programmes
- Ask what is already included in the price
- There may be several approval layers
- Ask for an itemised price — it is easier to compare
iReadCustomer
- Published price: from ฿7,990 per man-day
- Project lead, testing and go-live included
- Price locked before work starts
- A team with code review and a full handover
LLM App Development: pricing and scope FAQ
How is this service priced?
A RAG or agent MVP typically runs 15–40 man-days at our starting rate of ฿7,990/man-day — ฿119,850–319,600: RAG chat over company data at the low end; multi-step agents with tool use at the high end. Guardrails, eval suites, and hard cost caps are included in that scope — not paid add-ons. Model usage is billed by the provider at cost, inside caps we set together.
What is included in the scope?
RAG grounded on YOUR data: chunking, embeddings, and retrieval tuned and measured on your documents — not generic LLM guesses LLM cost engineering: caching, model routing, and token budgets — monthly spend stays predictable, no runaway bills Eval suites before launch, so answer quality is a measured number — not vibes Agent workflows with human handoff: the AI runs the routine steps, people approve the ones that matter Provider-portable: OpenAI, Gemini, Anthropic, or local models behind one interface — swap without re-platforming
How we deliver
Thailand-based team working remote-first with Thailand clients. Weekly online stand-ups, sprint-based delivery, and on-site visits scoped into the engagement up front.
In other regions
Other offerings for Thailand
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