Integrated Data Management Platform — from equipment collection to AI analysis, from energy management to predictive maintenance, helping manufacturers drive production with data and move toward the industry benchmark “Lighthouse Factory”.
*Data above comes from measured results of deployed projects; actual results vary by company conditions
No technical jargon needed. Click the scenario tabs below to learn in 3 minutes what each scenario is, why it is better, and what it brings you.
Sales data scattered across ERP, CRM and Excel is automatically extracted, cleansed and consolidated into one platform via ETL tools, becoming real-time visual charts. No manual reporting — the system processes data automatically every day.
Your sales data may be scattered across Excel files in different systems and regions, with each consolidation taking days. The dashboard connects all data sources via ETL tools (Extract-Transform-Load) and automatically generates:
Management no longer waits for reports — open the system and see the latest big picture. Target deviations are found and adjusted the same day, with no more month-end surprises.
Equip machines with sensors and data collection modules (PLC collection); operating parameters like temperature, vibration, RPM and pressure stream to the system in real time. No need to replace old equipment — just add the modules.
In the past, whether equipment was running and how it was doing could only be known by patrolling the shop floor. Now smart collection modules report equipment data automatically while the system watches for you:
Make equipment status fully transparent and eliminate “hidden downtime losses” — machines that run but underperform can no longer hide.
Set “safety lines” (thresholds) for critical parameters. Once exceeded, the system automatically pushes alerts to the responsible person via mobile app and on-site dashboards, and tracks the handling until the issue is closed.
The biggest fear in a factory is not “something went wrong” but “something went wrong and nobody knew”. The smart alert closed loop solves exactly this pain point:
Shift from “passive repair” to “proactive warning”: anomaly response shortened from hours to minutes, with the impact of failures greatly reduced.
Add smart collection devices to electricity, water and gas meters (or use cameras to read old meters). Energy data is reported to the system automatically and analyzed precisely across three dimensions: production line, equipment and time period.
The monthly electricity bill is huge, but do you know exactly which machine and which time period consumed it? The energy management system gives you the answer:
Reduce overall energy consumption by 15-20%, saving hundreds of thousands in energy costs per year while supporting green, low-carbon production goals.
Query data by simply talking. Ask, for example, “What were last month's sales in East China?” The AI understands your question and retrieves the exact figure from the data middle platform. Chinese and Japanese supported, with voice questions too.
When the boss suddenly wants a figure, it used to take subordinates time to build spreadsheets. Now just “ask” the system — as simple as asking a person:
Management can “ask the data” anytime, anywhere — decisions no longer rely on gut feeling. Monthly report preparation shortened from days to minutes.
The system continuously learns the patterns of equipment operating data. When the data shows “sub-health” signals (before humans can notice), the AI issues a warning 7-14 days in advance, telling engineers “this machine is about to fail — here is when to repair it”.
Sudden equipment failure halts the production line, delays orders and drives up repair costs — the pain of every manufacturer. Predictive maintenance's approach:
Unplanned downtime reduced by over 50%, equipment life significantly extended, annual repair costs saved by more than one million — moving toward the goal of “zero unplanned downtime”.
Not a fancy “big and all-inclusive” showcase, but real solutions to the practical problems you face every day
No more walking to the shop floor just to know whether machines are running properly. Sit in the office, open your phone, and see the status of every machine at a glance.
Equipment issues no longer rely on “veterans listening to the sound”. The system is sharper than people, notifying the responsible person the moment an anomaly occurs.
The boss wants to know “How did East China sales perform year-over-year last month?” — no waiting for reports, just ask the system and get the answer in seconds.
The monthly electricity bill hurts to look at, but you don't know where the money goes? Now every kWh is clearly accounted for.
Manufacturers of different industries and scales have all achieved their digital leap on our platform
200+ CNC machines connected to the platform for real-time status monitoring and automatic OEE statistics. Predictive maintenance sharply reduced unplanned downtime, saving over ¥1M in repair costs per year.
Sales data from multiple regions and product lines consolidated into real-time BI dashboards. Management grasps the full business picture anytime via AI data Q&A; monthly report preparation shortened from days to minutes.
Network-wide monitoring of air compressor pipelines plus refined energy management, making equipment status transparent through simulation topology maps. Anomaly alert response shortened from hours to minutes.
Deployed an AI smart work assistant for one-stop approval policy Q&A, quick request handling and progress tracking. Combined with visualization dashboards, expense control efficiency improved significantly.
More than selling software — full-cycle digital accompaniment from planning to deployment
PLC/sensors/smart modules compatible with multiple protocols, supporting both new and old equipment. No production line replacement needed — low-cost “voice” for your machines.
Driven by dual ETL+BI engines, connecting existing systems like ERP/MES/SCADA. Data converges once and the whole picture is visible in real time.
Enterprise LLM privately deployed on the intranet — data never leaves the factory, secure and controllable. Natural language queries + automatic analysis reports, far more accurate than NL2SQL solutions.
Leveraging equipment operational big data and AI algorithms to predict failure risks in advance — shifting from "fix after failure" to "prevent before failure," moving toward zero unplanned downtime.
Full-chain intranet closed loop, never connected to the public internet. 8 security standard systems, field-level permission control + operation audit logs — 100% of the data stays in your hands.
Fully adapted for PC big screens, tablets and phones. Even on business trips, executives can open their phones to see the whole picture and make decisions — management free from location limits.
From CEO to frontline operators, the system tailors a way of working for everyone
Open the overview page and cross-factory business data is clear at a glance. In-meeting decisions are backed by data — no waiting for layer-by-layer reporting.
One-click task dispatch, real-time KPI monitoring, automatic anomaly push. Full digital tracking eliminates buck-passing.
Real-time parameter monitoring + AI fault warnings; maintenance plans based on health data, moving toward zero unplanned downtime.
Station status lights at a glance, anomaly handling suggestions pushed automatically. Digital shift handovers keep information flowing.
Benchmarked against the World Economic Forum “Lighthouse Factory” standards, we have planned a clear five-step construction path for you, with defined deliverables and measurable results at every step.
Deep on-site research to assess digital maturity; sort out pain points and priorities, and deliver the “Digital Transformation Blueprint” and implementation roadmap. Clarify “what to do first, what next” to avoid blind investment.
⏱ Duration: 2-4 weeksAdd smart collection modules to key equipment and deploy PLC data gateways; complete equipment networking and cloud upload (private cloud) for real-time visibility of core equipment status. This is the “foundation” of digitalization.
⏱ Duration: 4-8 weeksBuild the data middle platform, integrating multi-source data from ERP/MES/SCADA via ETL; create customized BI dashboards and cockpits so management sees “the whole picture on one screen”. AI data Q&A is deployed at the same time.
⏱ Duration: 6-10 weeksLaunch AI applications such as predictive maintenance, smart production scheduling and energy optimization; deploy automatic AI analysis report generation. Evolve from “looking at data” to “using data”, achieving a data-driven decision-making closed loop.
⏱ Duration: 8-12 weeksBenchmark against WEF Lighthouse Factory selection criteria; compile digitalization achievements and ROI data; apply for Lighthouse Factory / Smart Manufacturing Demonstration Factory status. Build continuous optimization mechanisms so digitalization becomes the company's “perpetual engine”.
⏱ Duration: ongoing operation💡 Tip: No need to do it all at once! We support a “small steps, fast runs” mode — pick 1-2 pain-point scenarios for quick wins first, then expand step by step.
Get Your Custom Construction Plan →An 8-pillar security assurance framework, compliant with the Personal Information Protection Law, Cybersecurity Law and other regulations
The whole system runs in a closed intranet loop, never connected to the public internet — zero risk of data leakage
Sensitive data encrypted at rest, protected in transit by TLS/SSL encrypted channels
Role-based access control (RBAC) with field-level data visibility permissions
Every operation recorded with field-level logging, meeting compliance audit requirements
Tiered protection by sensitivity and importance, with differentiated security policies
MFA multi-factor verification ensures only authorized personnel can access
Strict data destruction standards — data thoroughly erased upon account cancellation
Aligned with the Personal Information Protection Law and Cybersecurity Law, with compliance policies continuously updated
From data collection to usage, every link has a security guardrail — understand this diagram and you understand our security system
✅ Every stage of the data lifecycle (collection → transmission → storage → usage → destruction) has corresponding security mechanisms;
✅ Large language models are used for intent recognition only and never touch business datasets (enterprise LLM privately deployed and independent);
✅ All access and operations are logged — securely auditable and fully traceable.
You don't need to understand technology, and you don't need a big team.
Tell us your pain points — leave the rest to us.
Free Diagnosis → Custom Plan → Fast Deployment → Continuous Accompaniment
Already serving manufacturers in Japanese-invested, precision and chemical industries · Live and effective in 30 days · Phased acceptance with measurable results