01
Software that covers the floor instead of reading it
Systems layered on top of the shop floor end up hiding the process rather than recording it. What is never recorded cannot be improved, and cannot be learned from later.
Manufacturing AI, rooted on the floor
The data backbone of the factory floor, and the AI on top of it
A subscription MES/ERP and specialized AI agents for small and mid-sized manufacturers
OntologyPipelineAI · Automation
In one paragraph
Amplab builds the data backbone for small and mid-sized manufacturers, then puts AI on top of it. We start with PANTL Starter, a subscription MES/ERP where simply running the factory accumulates clean, structured data, and grow into PANTL Pro, which connects scattered enterprise data and pairs it with specialized AI agents. We look for the answer on the line, not in the meeting room.
01The Problem
Why manufacturing AI stalls after the pilot
Most factory AI fails for structural reasons, not modeling ones. Three of them come up on nearly every floor we walk.
02
AI without an ontology is debt
When equipment, process, material and defect mean different things in different systems, a model's answer cannot be verified. Every new question forces the pipeline to be rebuilt from scratch.
03
Deployment is the start, not the end
A pilot that works once is not an operation. Lines change, products change, people change — a system that cannot absorb that decays within months.
02How Amplab Works
Backbone, then flow, then intelligence
We build in a fixed order: define the vocabulary, make the data flow into it as a byproduct of running the factory, and only then put AI on top. Skipping a step is what produces AI that nobody trusts.
- Ontology
Backbone
Equipment, process, material, defect and order are defined once, in one shared vocabulary, so the same word means the same thing across every line and system.
- Pipeline
Flow
PLC, sensor and manual input flow into that vocabulary continuously — without adding work for the operator. Running the factory is what produces the data.
- AI · Automation
Intelligence
Agents that answer from the data, and automation that acts on it. Because the backbone holds, every answer can be traced back to the record that produced it.
03Products
Start light, grow into it
Two products on one growth path. PANTL Starter accumulates the data; PANTL Pro connects and uses it.
PANTL Starter
A subscription MES/ERP where simply running the factory accumulates data
- Minimal input burden on the floor — recording is part of the work, not extra to it
- A standard schema for equipment, process, material, defect and order from day one
- Subscription pricing, sized for a first small-scale adoption
PANTL Pro
(formerly LinePro)Connects scattered enterprise data and pairs it with specialized AI agents
- Connects existing ERP / MES / spreadsheet data instead of replacing it
- Ontology mapping so the same term means the same thing across systems
- AI agents specialized per process, answering from the factory's own record
Factory X
Consulting and custom build for what a product cannot cover
- Diagnosis on the floor before a line of code is written
- Custom development on the same ontology, so it does not become an island
- For factories whose requirements are genuinely their own
Adopt Starter on a small scale, let the data build, then extend into Pro when the factory is ready. Factory X sits above both, for requirements a product cannot cover.
04Why We're Different
A typical AI vendor vs. Amplab
The difference is not the model. It is what we build first, and how long we stay.
| A typical AI vendor | Amplab | |
|---|---|---|
| Where it starts | With the model | With the data backbone |
| Data | Assumes clean data already exists | Makes the factory produce it as a byproduct of running |
| Scope | A pilot on one line | A path from Starter to Pro |
| After go-live | Handover, then a support contract | Operating partner until the factory can run it alone |
| Where the work happens | In the meeting room | Next to the line |
05Industries
Where we work
The backbone is the same; the vocabulary is not. We adapt the ontology to how each industry actually defines a defect, a lot and a run.
Food
Lot traceability, hygiene records and shelf-life constraints as first-class data, not paperwork after the fact.
Automotive
Part-level traceability and tight tolerance control across a supply chain that audits you.
Industrial
Mixed-model, small-batch lines where the process changes faster than any static system can follow.
Chemical
Batch and recipe data tied to equipment condition, where a deviation has to be explainable.
Beauty
Fast SKU turnover and outsourced production, where the data crosses company boundaries.
06Founder's Mission
We look for the answer on the floor
The best manufacturing decisions we have seen were not made in a meeting room. They were made standing next to a line, by someone who could see what was actually happening — and who had the record to prove it.
Most small and mid-sized factories are not short on expertise. They are short on the record. Our job is to give the floor its memory back, so the people who already know the answer can prove it, repeat it, and hand it on.
We measure ourselves on one thing: whether the factory can eventually run it without us.
Founder & CEO, Amplab
07FAQ
Questions we get asked
- What does Amplab do?
- Amplab builds the data backbone for small and mid-sized manufacturers and puts AI on top of it. We provide PANTL Starter, a subscription MES/ERP that accumulates structured data simply by being used, and PANTL Pro, which connects scattered enterprise data and pairs it with specialized AI agents.
- What is PANTL Starter?
- PANTL Starter is a subscription MES/ERP for small and mid-sized factories. It is designed so that running the factory — recording an order, a run, a defect — is what accumulates clean, structured data, with no separate data-entry project.
- What is PANTL Pro?
- PANTL Pro (formerly LinePro) is a hybrid system that connects data already scattered across ERP, MES and spreadsheets, maps it onto one ontology, and pairs it with AI agents specialized for the factory's own processes.
- Which factories is this for?
- Small and mid-sized manufacturers, including food, automotive, industrial, chemical and beauty production. Starter suits factories with little or no existing system; Pro suits factories that already have systems but cannot connect them.
- Can it run on-premise?
- Yes. PANTL Pro is designed as a hybrid, so factories that cannot send production data outside the plant can run it on-premise.
- Can government programs cover part of the adoption cost?
- Often, yes. Korean small and mid-sized manufacturers frequently fund adoption through government programs such as smart-factory support and service vouchers. Eligibility, documents and deadlines differ by program and by season — tell us your situation and we will walk you through the current one.
Where should we start?
Tell us which door you came through. It changes who replies.
Adopt / Demo
You run a factory and want to see what Starter or Pro would look like on your line.
Request a demoPartner / Buyer
You are evaluating Amplab as a supplier, distributor or technology partner.
Talk to usCareers
You would rather solve this next to a line than in a meeting room.
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