our services
Data & ML Solutions
Transform raw data into reliable decisions for Thai SMEs and enterprises — from ETL and fine‑tuning to RAG (Retrieval‑Augmented Generation) and interactive dashboards. Book a Discovery Call to map a pilot that delivers measurable marketing and operational gains while staying PDPA‑compliant.
Book a Discovery Call to assess your current maturity and see a tailored 12–18 month adoption timeline.
What We Deliver
We design end‑to‑end data and ML systems tailored to business needs: ETL for reliable pipelines, fine‑tuning for localized models, RAG for precise query answers, and dashboards for real‑time insights. Our work is advisory‑led — we prioritize quick pilot dashboards that demonstrate value before scaling to full enterprise rollouts. Book a Discovery Call to discuss a pilot customized to your sector.
How It Works
We start with a focused pilot that connects existing data through ETL, fine‑tunes models where language or local context matters, and layers RAG to surface accurate responses for marketing and operations. RAG (Retrieval‑Augmented Generation) briefly: it retrieves relevant documents then uses a generative model to produce concise, evidence‑backed answers. Successful pilots are then hardened for PDPA alignment and integrated into operational dashboards for ongoing decision support.
Why It Matters Now
As of 2025, Thailand’s machine learning market is projected at US$507.31 million and is expected to grow at an annual rate of 28.55% through 2030, reaching US$1,989.00 million by 2030. Adoption accelerated after 2023: by 2025 over 60% of enterprises report using AI/ML for data analysis, up from 35% in 2022, making now the moment to capture competitive advantage with validated, compliant solutions.
Proof & Results
Recent case studies from 2025 show concrete outcomes: a Thai e‑commerce SME used fine‑tuning and RAG to lift marketing ROI by 25% through personalized recommendations on custom dashboards. An enterprise financial firm cut data processing time by 50% after implementing ETL pipelines with BytePlus tools while maintaining PDPA compliance. Research referenced in 2025 indicates SME efficiency gains around 40% and improved advisory ROI of about 30% for enterprise projects that combine ML with compliant big‑data practices.
compliance & Risk
Thailand’s Personal Data Protection Act (PDPA) has been enforced since 2022 and shapes how ETL, fine‑tuning, and RAG systems handle personal data. The draft AI Act—anticipated for finalization in 2025—will add rules for high‑risk AI applications, increasing transparency requirements and scrutiny of bias in fine‑tuning. Non‑compliance risks include fines up to 4% of global turnover, so our engagements include PDPA‑aligned data handling, documentation of ETL pipelines, and bias‑mitigation practices as standard.
Pricing & Engagement
We favour staged engagements: a targeted pilot dashboard, validation against KPIs, then phased scale‑up with compliance checks. Pricing depends on scope — data readiness, fine‑tuning complexity, and RAG integration — and we scope these factors during a consultation
If you want a fast, evidence‑based estimate, Request a Quotation.
We operate as a services hub for data analysis and ML in Thailand, with advisory emphasis for marketing, finance and healthcare sectors. Book a Discovery Call to start a PDPA‑aware pilot that proves value quickly; Book a Discovery Call for a tailored plan and cost outline.
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