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Services

Enterprise AI Services

We help design, deploy, fine-tune, and evaluate AI systems for businesses that need full control over their data, security, and model quality.

Overview

How We Can Help

Whether you're just exploring AI or have a clear roadmap, we can help from initial consultation through to production deployment.

Consulting
Analyze use cases and recommend the most valuable direction
Custom Models
Fine-tune Thai language models for your industry
Deployment
Deploy in your infrastructure with ongoing support
Team Training
Transfer knowledge so your team can manage the system independently
Core Services

What We Deliver

From model infrastructure to agent workflows and governance — choose what your organization needs

Private LLM Deployment

Deploy Thai language models within your organization's infrastructure, complete with monitoring, access control, and audit logging

  • Deploy on on-premise / private cloud / VPC
  • Load balancing and auto-scaling
  • Monitoring, logging, and alerting
  • Role-based access control (RBAC)
DeliverableReady infrastructure + runbook
Timeline4–8 weeks

RAG & Knowledge Base

Build a Q&A system over your organization's documents with controlled permissions and cited sources

  • Connect to PDF, Word, Confluence, SharePoint documents
  • Citations and sources for every answer
  • Document-level permissions
  • Q&A via web and API channels
DeliverableWeb app + API + document management system
Timeline6–10 weeks

Fine-tuning

Fine-tune models with industry data such as legal, finance, e-commerce, and internal documents

  • Prepare and clean datasets
  • Fine-tune base Nara AI model
  • Before/after benchmark comparison
  • Deliver model + evaluation report
DeliverableFine-tuned model + benchmark report
Timeline8–12 weeks

Agent Workflow Design

Design agent workflows that integrate tools, APIs, databases, and human review

  • Design multi-step workflows
  • Connect APIs, databases, and legacy systems
  • Human-in-the-loop review
  • Evaluation and observability
DeliverableAgent pipeline + dashboard
Timeline8–16 weeks

Data Cleaning & Evaluation

Prepare Thai language data, build benchmarks, and evaluate before production deployment

  • Clean and label data
  • Build industry-specific test sets
  • Measure accuracy, safety, and latency
  • Guidance documentation for improvements
DeliverableCleaned dataset + evaluation report
Timeline3–6 weeks

Safety & Compliance

Assess PDPA risks, prompt injection, data leakage, and organizational policy compliance

  • Review PDPA and relevant regulations
  • Red-teaming and prompt injection testing
  • Data leakage audit
  • AI policy and governance framework
DeliverableRisk report + policy template
Timeline4–8 weeks
How We Work

4-Step Process

Transparent from day one — you always know where you are and what to expect next

  1. 01

    Assess & Analyze

    Assess

    We listen to your challenges, survey your data, infrastructure, and constraints, then evaluate which use cases are worth pursuing first.

    Discovery workshop · Project scope document · Rough estimate
    1–2 weeks
  2. 02

    Design

    Design

    Design the architecture, select models and tools that fit your security, budget, and team constraints.

    Solution architecture · Risk plan · PDPA plan
    1–3 weeks
  3. 03

    Build & Train

    Build

    Build the production system in your environment, test with real data, and iterate until agreed KPIs are met.

    Pilot · fine-tuning · integration · QA
    4–12 weeks
  4. 04

    Deliver & Support

    Deploy & Support

    Hand over with documentation and training, with ongoing post-production support to ensure long-term reliability.

    Handover · training · SLA · maintenance
    Ongoing
Engagement Models

Choose What Fits You

Hourly consulting, fixed-scope projects, or long-term partnership — all models are flexible

Real Results

Case Snapshots

A quick glimpse — each case has full details on our use cases page

Finance · On-prem

Commercial Bank

Reduced loan document review time by 60%

RAG on policy documents and lending guidelines, running on the bank's own VPC, passing security audits.

E-commerce · LINE

E-Commerce Platform

Conversion rate increased by 38%

A casual Thai chatbot on LINE OA answering product questions and order status from legacy systems in real time.

Legal · Fine-tune

Law Firm

Judgment search 5x faster

Fine-tuned on Thai case law and statutes, summarizing contracts and assisting with document drafting, with sources for every claim.

Frequently Asked Questions

Common Enterprise Questions

Didn't find your question here? Feel free to reach out.

Will our data leave the organization?
No. We deploy and operate entirely within your environment. No data is sent to external systems — you maintain full control from end to end.
Can it be deployed on-premise?
Yes. We can deploy on your on-premise infrastructure, private cloud, or VPC — whichever fits your security policies and existing setup.
How long does a typical project take?
A pilot typically takes 4–8 weeks. Full-scope projects range from 3–6 months, depending on scope and legacy system integration. We provide a clear timeline from the design phase.
Who owns the model and code rights?
Custom code and fine-tunes belong to your organization. The base model is Apache 2.0 — you can use and build on it freely, with no vendor lock-in.
Is post-delivery support available?
Yes. Every project includes a warranty period, and you can opt for a monthly maintenance agreement with SLA and a direct contact team.
How does this address PDPA compliance?
We assess PDPA impact from the design phase, design data access controls and audit logs, and deliver governance documentation for your compliance team to review.

Want Nara Lab to Help Your Organization?

Tell us about your challenges and constraints. We'll be straightforward about which use cases are worth pursuing and what the right path looks like.

Contact Us