Build Your OwnIndustrial AI AgentHypercanal makes every factory AI-ready.

Connect Global Hardware Nodes Instantly

Connect Global Hardware
Nodes Instantly

Air-gapped manufacturing AI-Ready infrastructure Hypercanal provides ready-to-use manufacturing nodes. Connect various nodes to processes and equipment to quickly build a data infrastructure AI can put to work right away.

Mind Canal

3 Connected

MITSUBISHI

PLC MELSEC

SnVMEL-PLC-23A9F7C1

StatusActive

LocationAllincarbon Factory

Open Protocol

Milesight

EM300-TH

Sn6136C27402151007

StatusActive

LocationAllincarbon Office

MQTT broker

MQTT subscribe

Dock

MES

StatusActive

Self-Diagnostic

How much does your floor handle data on its own?

See your floor’s data self-reliance across six areas in a single diagnostic.

More equipment, but is your data still living apart?

Most floors don’t lack tools—they lack the connectivity to link scattered equipment, so everything takes manual effort. Check your floor’s self-reliance with 12 questions, as a score and a diagnostic.

1212 questions · 6 areasConnectivity · Automation · Utilization · Time · Know-how · Dependence

⌁Self-reliance score0–100 points + type diagnosis

↳Weak-area reportHighlights the most manual-intensive areas

This diagnostic is a self-check reference. Scores are illustrative and may differ from an actual consulting result.

The Wall

The data-connection wall manufacturing floors face

Equipment grows and data piles up, yet the floor still runs on “manual work.”

I need the manual, but first I have to find where the manual even is.

I manage three machines, all on different protocols, so I end up exporting CSVs and pasting them into slides.

Call the SI vendor and a quote comes first. That alone costs KRW 20M every year.

Every time a new machine arrives, we reconfigure the whole integration from scratch.

Siloed, heterogeneous systems

Legacy and modern systems are built separately and never connect. People end up stitching MES, ERP, WMS, and PLC together by hand.

Burden concentrated on one person

One person handles three or more systems on average. Response varies with skill level, and dependence on outside vendors follows.

Recurring vendor lock-in

Even after one integration, every new machine brings new costs. Technology, knowledge, and bargaining power all stay tied to the vendor.

KRW 20–30M in annual outsourcing costs

Maintenance and customization outsourcing alone runs KRW 20–30M a year per plant. Multiply across lines and plants and the number explodes.

What a factory needs isn’t “yet another new system,” but connecting scattered systems and data to build a self-reliant operating environment.

The Solution

While conventional software stays tied to SI, Hypercanal hands control back to the floor

No waiting, no outsourcing—the floor does it directly. See at a glance how it differs from typical SI and in-house development.

	Typical SI build	In-house platform
Adding new equipment	Extra quote	Dev resources	Drag and drop
Reliance on experts	High	Very high	Low
Global HW integration	Case-by-case	Custom build	Pre-built nodes
Where AI runs	Mostly cloud	Mostly cloud	Fully on customer infra
Data leak risk	High	Varies by setup	Structurally blocked
Time to deploy	Avg. 6 months	Avg. 1+ year	Within 5 days

The Hypercanal Way

AI agents unify scattered hardware, and even non-engineers run it themselves

Three stages—connect, learn, and operate on your own. Equipment, knowledge, and operations all move at the node level.

01 · CONNECT BY NODE

Connect with nodes

No coding, no SI—even non-experts do it themselves. Connect equipment, sensors, and upper systems at once with drag-and-drop.

02 · LEARN PER NODE

Turn field knowledge into assets

AI agents learn field knowledge—product manuals, error handling, quality standards—and accumulate it as company assets.

03 · OPERATE YOURSELF

Operate on your own

Collected field data combines with node knowledge to build a self-reliant operating environment that manufacturers run themselves.

Manufacturing-specific on-premise architecture

Core data and know-how as internal assets

All data processing happens inside your own servers, so core data accumulates securely.

AI, securely and without cost pressure

Training, inference, decisions, and knowledge accumulation all run inside your infrastructure—use it without usage limits.

AI even for security-sensitive industries

It runs even in air-gapped environments, so defense, semiconductor, and energy sectors that delayed AI can finally use it on the floor.

One Workflow

From connection to response— one workflow the floor actually needs

For both field teams running the plant and partners delivering hardware and solutions, connection, dashboards, and AI operations all flow as one.

Canal Builder

Connect your equipment yourself — no hand-offs

Protocols and global hardware nodes come ready—pull them in with one click. Field teams connect directly, and partners build and scale delivery systems without outsourcing.

One minute to connect a sensor—from collection to upper-system integration on one screen
Instantly connect field-protocol nodes like OPC-UA and Modbus
Push collected OT data straight to MES, ERP, and upper PLCs

Widget Studio

Pick only what you need, build your own dashboard

Drag and drop 50+ industrial widgets—no queries, no code, just pick a node. Dashboard changes are no longer an outsourcing or dev task.

Built-in industrial widgets: gauges, trends, spectra, tables, and more
No more waiting on outside vendors to add, edit, or swap charts
Per-dashboard view/edit permissions and custom views by line or process

AI O&M · Knowledge assets

The more you use it on-prem, the smarter the AI gets

Manuals, error handling, and process know-how are learned and accumulated as your assets. Routine operations get automated so people focus on higher-value work.

Learns past issue patterns and recommends responses for similar situations
Ask in one line of natural language and get answers grounded in accumulated knowledge
Data and know-how accumulate and stay only within your infrastructure

Field Q&A

We answer the floor’s questions with real features

These are the questions production-engineering and plant staff face on the floor—and the ones HW makers and SI partners hear from customers every time.

A machine suddenly throws an error code, but the non-expert operator doesn’t even know where the manual is.

It instantly highlights the node where the anomaly occurred. The AI agent combines the manual learned for that node with the error code and past response history to suggest instructions, then guides preventive action through follow-up questions.

Canal Builder + AI Agent

Field · Expert-level response, even from non-experts Partner · Fewer post-delivery maintenance calls

I want to add a new metric to the dashboard—do I have to call an outside vendor again?

Drag the widget you want from 100+ industrial widgets and just change the data-source property. Operators can configure hierarchy levels themselves, so calls to developers and vendors drop.

Widget Studio

Field · Dashboard edits at zero cost Partner · Customization requests absorbed as product features

Hundreds of auto-reports piled up over six months—I want to summarize and compare just the important ones.

“Compare the top 3 lines by defect rate over the last six months.” Ask in one line and the AI combines per-node knowledge assets with accumulated reports to return an instant summary, comparison, and key insights.

AI Agent · Data analysis

Field · 90% less time spent searching reports Partner · Automated customer reporting lightens operations

A new machine just arrived—do I have to negotiate extra development again?

Just add a node—no separate development estimate. After automatic protocol detection, operators can set up two-way MES/ERP integration themselves.

Canal Builder · Add node

Field · Just add a node—no vendor call Partner · Equipment additions become simple integrations, freeing focus for high-value work

Already in the Industrial Field

Hypercanal, manufacturing AI-agent middleware, is already at work across diverse industrial fields

Global manufacturers and Korean production floors connect their equipment and data with Hypercanal.

For Partners

Give your hardware a software DNA

Have sensors, PLCs, or your own hardware? We offer a free demo account for integrating your own dedicated nodes. Pre-node your products, list them in the catalog, and connect with more manufacturing floors.

Proven in the Field

Hypercanal’s AX execution, proven on the factory floor

Not demos—real deployments on live manufacturing floors.

High-Precision Polishing & Finishing Process

Quantify polishing and finishing processes with data to reduce quality deviation and secure process reliability.

Fastening Process Torque & History Management

Automatically collect and analyze fastening data for quality standardization and instant issue tracing.

Pneumatic Usage Monitoring & Leak Prevention

Analyze pneumatic data in real-time to reduce energy waste and detect equipment abnormalities in advance.

CASE 01

Ultra-precision finishing automation

A major Korean power-equipment maker · Gas-turbine blade surface finishing (polishing) process

12×Productivity gain 1/day → 12/day

Gas-turbine blade finishing automation cell with the Hypercanal operations screen

A blade finishing process that ran at one piece per person per day had to scale to 12 pieces a day through automation—without giving up micrometer-level quality. We unified and learned every quality-affecting variable—finishing RPM, force, and speed, robot motion, coating thickness, ambient temperature and humidity—to build an operating brain that derives the optimal settings for each model.

BEFORE

Manual process capped at 1 piece/day
Finishing quality depended on operator skill
No process data, so root causes couldn’t be traced

HOW

Five heterogeneous systems turned into nodes with Canal Builder
AI Agent recommends optimal settings per model
Analysis and reporting fully completed within the air-gapped network

RESULT

12× productivity gain (1 → 12 per day)
Operator-independent, consistent finishing quality
Data turned into assets, supporting manager decisions

CASE 02

Ultra-high-voltage transformer & ESS PCS/BCP assembly and fastening

A power & industrial automation specialist · BCP (Battery Control Panel) production line

Company-wide MESUnified fastening history Global traceability secured

BCP fastening work with an Atlas Copco tool

ESS PCS Panel fastening dashboard screen

A company supplying core PCS/BCP units to global data centers was asked by its customer to provide torque, angle, and result data for each fastening operation. By combining Atlas Copco’s fastening solution with Hypercanal middleware, it tracked fastening history by operator, station, and product, and linked the full history to a unified MES.

BEFORE