01
A builder for the software
Ask in plain words. AI asks back, writes the code and runs the tests.
Requests · Code · TestsFlowOS
Becoming the remote AI department for Korean manufacturers.
What people knowbecomes working software.
The people on a factory floor know exactly how the plant runs. Its systems know almost nothing of that.
One remote AI department closes that gap.
With FlowOS Connect, people just show how they work. AI writes the code and runs the tests. Before real records change, it’s designed to stop for a person’s approval.
By design, the old database connects read-only. A plant’s data is used only for that plant.
FlowOS / Workflow
InventoryStock to review
Item AItem BLong-held stock
01Read records02Organize findings03Human review
Identify stock that needs attention and consider action to limit losses.
One remote AI department: a builder for the software, a defender at the door, and an advisor on what to do next.
Services
The bottleneck isn’t the model. It’s context.
Context is what the page doesn’t say, and you only get it from inside the plant. FlowOS gathers it there and turns it into software.
Where a plant’s context lives
▦People’s heads▤Paper · Whiteboards▥Old systems
- 01
Show how you work
FlowOS ConnectA small app on a plant computer. Nobody writes a specification. People just show how they work.
Learn more - 02
Keep one source of truth
FlowOS SuperbrainA plant’s scattered rules come together in one place, where what the page didn’t say finally gets written down.
Learn more - 03
AI builds, a person approves
Human-approved executionAI sorts each request, checks it against the plant’s rules, writes the code and runs the tests. Before real records change, it’s designed to stop for a person’s approval.
Learn more
What people know becomes working software.
By design, the old database connects read-only, and any change has to go through one checked door.
One remote AI department
A builder, a defender and an advisor.
02
A defender at the door
By design, the old database connects read-only, and text from outside reaches the AI as data, not orders.
Read-only · Checked door · Human approval03
An advisor on what to do next
With no data or AI staff of your own, you still get help deciding what to fix next.
Priorities · Next stepsImplementation examples
Applied to real work
Validated with real drawings
From drawings to working spreadsheets
We built a tool that extracts dimensions and quantities from PDF drawings into the company’s existing spreadsheet format.
PDF drawings → Extraction → Spreadsheet
Less repeated entry, more attention to items that need review.System delivered
A warehouse dashboard built around field work
We delivered a dashboard based on warehouse requirements and provided additional tools for customer testing.
Field requirements → Dashboard → User testing
Make the information needed on site easier to see.Validated with customer data
Check available stock before ordering new material
We reviewed stock candidates using order, cutting and dispatch data, and refined the interface for staff review.
Order requirements → Stock comparison → Candidates
Help put existing stock to use on the next order.A workspace for everyday work
What people know becomes a workspace your team uses.
Find items to review, check related records and decide the next action. Built around the order in which your team works.
Select an item to see its records and next action.
Inventory to review
Staff reviewCheck stock and movement records together.
Items to reviewRecords linked by item
Item / SourcesReview topic
Stock lists · Movement records · Field notes
Review logKeep the findings and next action with your work records.
01
Find what needs attention
Start with items requiring review, instead of rereading every record.
02
Check the supporting records
Review stock movements and field notes together for each item.
03
Move to the next task
Use review notes in dispatch, purchasing and handovers.
Getting started
Results first.
You don’t have to change everything at once.
- 01
Start with what’s stuck
Tell us what people still do by hand, and which files and systems you use today.
- 02
See something working
FlowOS shows a working result before asking for anything bigger.
- 03
Connect the plant
Install FlowOS Connect on a plant computer and show how you work.
- 04
Ask, check, approve
Ask in plain words. In the first 30 days a FlowOS engineer checks the work. Once things are steady, the person who asked confirms the change.
Explore further
Resources for your next decision.
Company brochure
An overview of FlowOS and how to get started.
In KoreanRead brochureFlowOS blog
Articles on factory work and AI.
In KoreanRead articlesCommon questions
A few things you may be wondering.
What does FlowOS do?
FlowOS is becoming the remote AI department for Korean manufacturers: a builder for the software, a defender at the door, and an advisor on what to do next.
Won’t a smarter AI model solve this?
AI models are already capable enough. What’s missing is context: what the page doesn’t say. You only get context from inside the plant.
Do we have to write a specification?
No. Install FlowOS Connect on a plant computer and show how you work. Ask in plain words, and an AI assistant asks back about anything missing.
Do we have to replace our ERP or MES?
We start by working with the systems you have. By design, the old database connects read-only, and any change has to go through one checked door.
Could AI change real records on its own?
Before real records change, it’s designed to stop for a person’s approval. AI checks the plant’s rules and runs the tests. In the first 30 days a FlowOS engineer checks the work. Once things are steady, the person who asked confirms the change.
How is a plant’s data used?
A plant’s data is used only for that plant. By design, text from outside is kept apart and handed to the AI as data, not orders.
Which manufacturers is this for?
FlowOS is built for Korean manufacturers without their own data or AI staff. We’ll work out together whether it fits your plant.
How is pricing decided?
We look at the number of plants, the systems to connect and the scope you need, then make a proposal. Tell us what’s most stuck and which systems you use today.
What’s most stuck in your plant?
Tell us what people still rebuild by hand: price sheets, stock counts, certificates.