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 (฿105,000–280,000).
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 — Bangkok-based 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 flat ฿7,000/man-day — ฿105,000–280,000: 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
Typical project price ranges
| Project type | Typical man-days | Price range (THB) |
|---|---|---|
| Core implementation | 15–40 | THB 105,000–280,000 |
Ranges are planning assumptions, not market averages or guaranteed scope. Your exact price comes from the line-by-line man-day breakdown and is fixed before work starts.
Freelancer, larger agency, or one flat rate?
Compare who owns project management, QA, continuity, change control and handover—not headline price alone.
Freelancer / marketplace
- Scope and pricing can be flexible for a bounded task
- Confirm who owns project management, QA and integration
- Ask how continuity and backup coverage work
- Record source-code, account and documentation handover in writing
Larger agency / consultancy
- Dedicated roles and governance may suit complex programmes
- Confirm which discovery, account and specialist roles are included
- Compare change-control, approval and reporting layers
- Request the same deliverable and assumption breakdown from each bidder
iReadCustomer flat rate
- THB 7,000 per man-day, published and the same for every role
- Project management, QA and deployment included in the rate
- Fixed quote before work starts; changes require a scope change
- Team delivery with code review and documented handover
Software development pricing FAQ
How is this service priced?
A RAG or agent MVP typically runs 15–40 man-days at our flat ฿7,000/man-day — ฿105,000–280,000: 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
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