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Moximize

Building an AI super-assistant for construction quality and safety management

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Snapshot

As of Oct 15, 2026, UniqueBase lists 1 funding record for Moximize.

Funding records
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Overview

AI TIS Agent Construction quality and safety management still relies on traditional human supervision, requiring managers to combine extensive experience, comprehensive knowledge, deep understanding of complex codes and standards, and diligence throughout the process. This heavy dependence on people leads to inefficient quality management and inconsistent work. Many risks go undetected and uncorrected until later problems cause major economic losses and threats to personal safety. AI TIS Agent combines generative AI capabilities with construction industry know-how to deliver new productivity tools for the sector. Using a large-model foundation and industry know-how, AI TIS Agent designs agent workflows around engineers’ work scenarios. It combines prompt engineering, retrieval-augmented generation, public and private vector databases, mixture-of-experts systems and end-to-end AI engineering to create an AI super-assistant tailored to construction engineers.

Funding · 1

Funding

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Listed 1 funding record.

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DateAmountInvestorsSources
Apr 14, 2026Millions of RMB · Seed上海青苗人工智能产业创业投资合伙企业(有限合伙) No source link

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Valuation · 1

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Listed 1 valuation record.

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DateAmountInvestorsSources
Apr 14, 2026— · Seed上海青苗人工智能产业创业投资合伙企业(有限合伙) No source link

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Original source text

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打造建筑业质量安全管理超级AI助手 AI TIS Agent 建设工程中关乎质量安全管理的环节依然由传统的人工监督控制,要求管理人员兼具丰富的经验、全面的知识、对庞杂规范标准的深入了解,以及在质量安全管理全过程的勤勉尽职。这种对人的深度依赖必然导致质量管理效率低下、工作质量参差不齐,很多质量安全隐患未能及时发现并纠正,导致后续问题暴露时造成巨大的经济损失和人身安全威胁。AI TIS Agent通过结合生成式AI能力特长与建工行业Knowhow,落地行业新质生产力工具。 AI TIS Agent借助大模型基座能力,结合行业Knowhow,基于工程师工作场景,设计智能体工作流,并综合利用提示词工程,检索增强生成,基于公域/私域向量数据库及混合专家系统等技术手段和端到端的AI工程能力,为建设工程领域工程师量身打造AI超级助手。