Every tool starts from a real pain point on your floor and connects to real machine and system data — so production, QA, maintenance and management all benefit directly.
01 — HOW IT WORKS
Minxun's AI agents are built around your workflow. Within the access you grant, they connect machine and system data and close the loop from sensing to action.
Read the live state of the floor through connected machines, MES, ERP and documents.
Combine your knowledge base and operating context to grasp what's really going on.
Compare against history and rules to propose causes and recommended actions.
Within its permissions, send alerts, create orders and produce reports — getting the job done.
02 — AI TOOLBOX
We don't sell one generic AI to everyone. Each tool starts from your pain points and is built around your processes and data. Common directions:
SCROLL →Continuously monitors temperature, vibration, current and other machine data, alerts the right person when trends turn abnormal, and suggests likely causes and next steps.
Compiles output, uptime, downtime causes and yield into a readable report every day — no more manual transcription and spreadsheets.
Turns work instructions, maintenance records and veteran technicians' experience into a knowledge base floor staff can query in plain language.
Cross-references process parameters with inspection results to trace the root cause of defects fast, then drafts an anomaly report with improvement suggestions.
Once machines are connected, see machine status, utilization and downtime analysis in real time — managers know what's happening without waiting for reports.
Combines order, material and capacity data to check work-order progress, simulate scheduling impact and notify the right teams automatically — less back-and-forth between departments.
These are just starting points. Tell us which steps take the most time, cause the most errors or depend most on veteran staff — and we'll start customizing from there.
Tell us your needs→03 — ARCHITECTURE
Follow one data point from the machine all the way to the people who act on it. Five layers, connected by one Minxun team.
Scroll to follow the data ↓At 22:41, CNC-07 spindle vibration climbs past its limit. Whatever the brand or age of the machine, first-hand data starts here.
Machines and sensors of every brand, age and protocol are wired into an edge gateway one by one, converted to one format and tagged with machine, line, time and units.
Data lands in a time-series database, the 30-day trend becomes visible, and maintenance records and MES orders are linked automatically.
It compares the trend, similar maintenance cases and tool usage hours, concludes the tool is worn, and recommends what to do.
A maintenance order is created, the maintenance team is notified and the dashboard updates — from one signal to real action, connected end to end.
LET'S TALK
Whether you want to connect your machines, build your first custom AI agent, or have forward deployed engineers guide the whole rollout, book a free discovery session.