In production
Document AI
Read POs and invoices
Reads POs, invoices and delivery notes from images or PDFs, extracts items and quantities, and passes them straight into your system. No re-keying.
See the screens Local AI — our core expertise
AI that works inside your company.Your data stays put.
We install AI on servers in your own plant and office: it reads documents, answers questions from company data, co-pilots production planning and inspects quality through cameras. No trade secrets sent to the cloud, and no monthly token bill.
Nothing sent to the cloud
Your internal network
Your data
Email and documents
POs · invoices (image/PDF)
ERP · MES · WMS
Machines · cameras
Local AI Server
Installed in your server room
Thai–English LLMVision AIKnowledge searchRules engine
Department permissions · every query audited
What you get
Answers with sources
Data entered automatically
Plans that explain themselves
LINE alerts · dashboards
3
Local AI projects in 2026
100%
Data kept on your network
฿0
Per-query token fees
TH · EN
Asks and answers in both
Why Local AI
Why companies with sensitive data choose Local AI
Cloud AI is easy to start with. But when the data is formulas, costs and customer lists, the first question from management is: “where does our data go?”
Topic
Typical cloud AI
Local AI by TW
Company data
Typical cloud AI: Processed on outside servers
Local AI by TW: Stays 100% on your network
Cost
Typical cloud AI: Ongoing token / subscription fees that grow with use
Local AI by TW: One-time hardware investment, no per-query fees
When the internet is down
Typical cloud AI: Stops working
Local AI by TW: Keeps running on the internal network
Domain knowledge
Typical cloud AI: Internal documents must be uploaded first
Local AI by TW: Learns your rules, procedures and jargon without sending anything out
Permissions and audit
Typical cloud AI: Depends on the provider’s settings
Local AI by TW: Answers respect each user’s rights, every query is logged
PDPA / trade secrets
Typical cloud AI: Needs a review of a foreign provider’s terms
Local AI by TW: Data never leaves the company, you can verify it yourself
What we build
Local AI we build for customers
Designed so your data stays under your control, and plugged into the systems you already use — no need to change how the whole company works.
Delivering · 2026
Private Knowledge Brain
Enterprise assistant
Ask in Thai or English across company email and documents. Answers cite their sources and only show what the person asking is allowed to see.
See the screens Delivering · 2026
Scheduling Co-pilot
Production planning
An engine builds the schedule within every rule, then AI explains why the plan looks the way it does and helps handle exceptions on the floor.
See the screens In production
Vision Inspection
Quality at line speed
Deep-learning checks of shape, characters, numbers and surface defects, in real time on the production line.
Ask Your Data
Plain-language queries
“Which items are running low?” “Why did line 3 stop yesterday?” — AI turns the question into a database query and answers with numbers or a chart.
Forecast & Predictive
Early warnings
Forecasts demand and reorder points and spots abnormal machine signals before they become stock-outs or breakdowns.
In production
Local AI projects in 2026
Described as concepts, without customer names or data.
Medical device manufacturer In production
From purchase order to production order, automatically
Challenge
Staff keyed customer POs by hand and exploded BOMs manually, so parts were easily missed or over-ordered.
How it works
- 1 PO image / PDF
- 2 AI reads it
- 3 BOM explosion
- 4 Jobs per department
- 5 Invoice + packing list
AI used: Vision LLM on a GPU inside the plant
What the customer gets: No re-keying, assembly starts only when every part is ready, and every step is traceable.
Medical device manufacturer Delivering · 2026
An on-premise brain for the whole company
Challenge
Knowledge was scattered across a huge volume of email, and confidential data such as costs and formulas must never leak.
How it works
- 1 Email + documents
- 2 Knowledge registry
- 3 Permission filter
- 4 On-prem LLM
- 5 Answer with sources
AI used: 32B LLM + vector database on company servers
What the customer gets: Managers ask in Thai and get answers straight away. Every answer cites its source and every query is logged.
Petrochemical industry Delivering · 2026
A co-pilot for production planning
Challenge
Plans lived in a very large spreadsheet and in the heads of a few people, and had to be built days ahead under many rules.
How it works
- 1 Rules + real data
- 2 Scheduling engine
- 3 Check every rule
- 4 AI explains why
- 5 Planner decides
AI used: Rules engine + LLM co-pilot, backtested on 12 months of real data with both a local and an API model
What the customer gets: Planner know-how becomes a system instead of leaving with people, and every plan can explain itself.
Real screens
Real screens: AI turns a purchase order into work orders
This system is in production. AI running on a GPU inside the plant reads each purchase order and carries it through to shipping documents.
Step 1
Drop the PO into the system
How it helps: No more keying purchase orders line by line.
How it works: Drag in a PDF or a photo of the PO and press Upload & Run OCR — the AI on the plant’s own server starts reading at once.
Step 2
Read in 11 seconds, with a confidence score per line
How it helps: Cuts keying time and errors, while people still check whatever the AI is unsure about.
How it works: The AI extracts item codes and quantities and matches them to products. A low-confidence line (68%) is highlighted for a person to pick before confirming.
Step 3
BOM explosion sends jobs to every department
How it helps: Each department sees its work immediately — no paper chasing.
How it works: Confirm & Explode BOM splits the order into parts for injection, extrusion and purchasing. Each team sees only its own tasks and confirms when done.
Step 4
Assembly sees which parts are ready
How it helps: Nobody starts assembling before every part has arrived.
How it works: Each green dot is a finished part. Lines reaching 100% move to “ready to assemble” automatically.
Step 5
Managers price the order through a one-time link
How it helps: Keeps prices completely away from production staff.
How it works: A single-use link lets the manager enter prices, after which the invoice and packing list are produced automatically.
What the plant gets
- No purchase order is keyed twice
- Every department sees its own work at once
- Production never sees a price
- Every step traceable — who did what, and when
- The AI runs on the plant’s own server; data stays inside
Screens from delivered systems. Customer names, product names, document numbers and other confidential data are hidden.
How it works
Our Local AI architecture
Designed to be easy for IT to approve: every layer lives on your network and every step can be audited.
Users
Web and mobileLINE alertsManagement dashboardsAPIs back into existing systems
Local AI
Thai–English LLMVision AIHybrid knowledge searchRules / optimisation engine
Security
Role and department permissionsData filtered before the AI sees itSSO + MFA for outside accessAudit log of every query
Your data
ERP · MES · WMSEmail and filesPLC · sensors · camerasExcel and legacy databases
Right-sized hardware
Hardware sized to the job
We assess and install everything — hardware, platform and models. Start small and scale once you see results.
Starter
GPU Workstation
GPU with 24 GB memory
- Document reading / OCR
- Vision inspection
- 7B–14B models
- One department
Business
AI Mini-server
128 GB+ unified memory
- Company-wide knowledge assistant
- 32B–70B models
- Planning co-pilot
- Several departments at once
Enterprise
GPU Server
Multiple GPUs · redundancy
- Several models at once
- Many concurrent users
- Multiple plants / sites
- High-availability design
How to start
Start without the risk — prove it on real data before you invest
- 01
Discovery
Map the problem, pick the one job that pays back fastest and review the data you already have.
- 02
Proof of Concept
Test on your real data and measure accuracy in numbers before you decide.
- 03
Pilot
Install on your own servers, run it live in one department and train the users.
- 04
Scale + support
Add jobs and departments and keep tuning the models, backed by Thai engineers who come on site.
FAQ
Questions customers ask
How much data do we need to start?
Most projects start from data you already have — documents, email or existing databases. We check during Discovery whether it is enough and what else to prepare.
Can the AI get things wrong? How do you guard against it?
Yes, it can. That is why anything that must be 100% right is computed by an engine, the AI has to show where each answer comes from, and a person confirms the important steps.
Does it work with our existing systems?
Yes. We connect to ERP, MES, WMS, databases and Excel files through APIs or directly at the database, without replacing what you have.
Does it need a permanent internet connection?
No. Models and data sit on your network and keep working when the internet is down. Outside access only goes through secured channels.
Local AI + MES on the factory floor
See how AI reads POs, plans production and checks quality inside a manufacturing execution system.
Go to the MES pageReady to upgrade your factory?
Book a free consultation with our engineering team.