WisCloud | AI-Native IT Operations Platform

WisCloud Project Overview

WisCloud is an AI-native IT operations platform built for institutions like universities and hospitals. It focuses on solving core pain points such as multi-vendor device fragmentation, slow root cause analysis, difficult deployment/scaling of traditional solutions, and easy loss of O&M knowledge. It provides a one-stop intelligent O&M solution to help institutions realize the intelligent and automated upgrade of IT O&M.

memory Core Technologies

Four core technologies that enable a closed-loop intelligent O&M system

#UnifiedManagement #AIDetection #Automation #KnowledgeBase

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• Unified data model + hybrid monitoring
• AI anomaly detection, 85%+ accuracy
• RAG knowledge base + AI assistant
• End-to-end automated workflow orchestration

rocket_launch Technical Link

A 5-step closed loop from data to visualization

#RealTimeProcessing #MillisecondLatency #AutomatedExecution

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"Data collection - real-time processing - AI analysis - automated execution - unified visualization"

The project achieves core effects such as reducing O&M costs by 40-60%, shortening MTTR from 4-6 hours to 1-2 hours, and achieving system availability of 99.9%+.

Market & Business Strategy

Dual-track business model: high value for money with a clear path

#DualTrackModel #HighCostPerformance #NationwideScaling

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Leveraging policy and AI tailwinds...

JL

YC

ZL

The team is composed of core executors who are students in AI and big data majors at XJTLU. Lu Teng, a Huawei HCIE expert with 14 years of experience, serves as the industry mentor. Dr. Wang Chaoqun from XJTLU provides AI technical guidance. The team covers all dimensions of technology R&D, project management, and business analysis, providing solid support for the project's landing.