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

• Unified data model + hybrid monitoring
• AI anomaly detection with 85%+ accuracy
• RAG knowledge base + AI assistant
• Full-process automated workflow

rocket_launch Technical Link

"data collection - real-time processing - AI analysis - automated execution - unified display"

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

Leveraging industry dividends from policy support and AI technology empowerment, it targets the global 270-510 billion yuan IT O&M market, focusing on the 10 billion yuan vertical market for education/medical care. It adopts a dual-track model of SaaS subscription + privatization buyout, with pricing only 30%-50% of traditional solutions such as Huawei and H3C.

2026 Regional Pilot 2027 National Expansion 2028 Global Layout

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.