AI Productivity Platform · 2026

熵基律动 ZenFlux 定义AI时代的行业生产力。 Defining Industry Productivity in the AI Era.

专注于企业级AI操作系统,为企业构建持续学习、深度适配业务场景的智能底座,让通用大模型真正"懂行",驱动企业增长。 Focusing on enterprise-grade AI operating systems, we build an intelligent foundation that enables continuous learning and deep adaptation to business scenarios—empowering general-purpose models with true domain expertise to drive business growth.

立即了解Learn More
3
核心架构层Core Layers
100%
自主研发Proprietary
可扩展性Scalability
Core Technology

核心技术:
自研三位一体架构
Core Technology:
Proprietary Trinity Architecture

核心团队一手打造,从源头保障数据安全、系统稳定与高度可扩展。 Crafted by our core team, ensuring data security, system stability, and high scalability from the ground up.

Layer 01

智能体编排层Agent Orchestration Layer

灵活构建与管理 AI 智能体,适配复杂业务工作流,实现自动化与智能化的高效协同。Flexibly build and manage AI agents, adapt to complex business workflows, and achieve efficient collaboration through automation.

Agent Workflow Auto Orchestration
Layer 02

数据治理层Data Governance Layer

深度清洗、整合与安全管控企业数据资产,为 AI 模型提供高质量的燃料,打破数据孤岛。Deeply cleanse, integrate, and securely manage enterprise data assets, providing high-quality fuel for AI models and breaking down data silos.

Data Pipeline Security
Layer 03

本体语义层Ontology Semantic Layer

构建行业专属的知识图谱与语义网络,让 AI 不仅能计算,更能深度理解业务逻辑与行业 Know-how。Construct industry-specific knowledge graphs and semantic networks, enabling AI to deeply understand business logic and industry know-how.

Knowledge Graph Semantics
Solutions & Cases

赋能千行百业,
见证 AI 落地的力量
Empowering Industries,
Witnessing Applied AI

熵基律动已为多行业头部客户提供定制化的 AI 生产力解决方案。 Trusted by leading clients across multiple industries, Zenflux delivers tailored AI productivity solutions that create real value for our customers.

Smart Retail

智能零售行业Smart Retail Industry

客户痛点Pain Points

目标客户需求预测不准,供应链响应迟缓,导致库存积压与销售良机错失。Inaccurate demand forecasting for target customers and sluggish supply chain responsiveness lead to inventory overstock and missed sales opportunities.

解决方案与成果Solution & Results

依托数据治理层整合线上线下数据,通过智能体编排,实现库存自动化预警与产品精准化营销,大幅提升供应链效率,显著降低运营成本。By integrating online and offline data through a data governance layer and leveraging agent orchestration, we enable automated inventory alerts and precision product marketing—dramatically improving supply chain efficiency while significantly reducing operational costs.

Tech for Good

技术公益项目Tech for Good Project

客户痛点Pain Points

公益资源分配不均,信息匹配效率低,难以精准触达受助群体。Uneven distribution of philanthropic resources and low information matching efficiency, making it difficult to reach target groups accurately.

解决方案与成果Solution & Results

利用本体语义层构建公益知识库,提供智能问答与资源精准匹配服务,显著提升触达率与精准度,让科技更有温度。Leveraging an ontological semantic layer to build a public welfare knowledge base, we provide intelligent Q&A and precise resource matching services—significantly improving reach and accuracy, making technology more human.

Our Team

顶尖团队,驱动 AI 创新 Top-Tier Team
Driving AI Innovation

作为一支蓬勃发展的全球化团队,我们汇聚了顶尖学府的AI学术精英与互联网大厂的实战专家。 As a thriving global team, we bring together AI academic elites from top-tier universities and industry veterans from leading internet companies.

CEO & Co-Founder

Liang Li

李良
首席执行官 Chief Executive Officer

连续创业者,十年SaaS行业深耕者。19岁起步校园创业,历经实体、外企、硬件到软件的跨界实战,擅长在混乱市场中捕捉破局增长点。

"AI 操作系统,不是让一个模型干所有事。而是先修好数据连通的路、搭稳分层架构的底子,让业务边跑边长。T+0 交付的本质,是将'定制'提前做成了'前置能力'。"
CEO
CEO
首席执行官
CTO
CTO
首席技术官
COO
COO
首席运营官

客户的信任,是我们前进的动力 Customer Trust
Drives Us Forward

熵基律动的 AI 平台极大地简化了我们的数据处理流程,完全自研的架构在实际运行中表现得非常稳定,是我们数字化转型过程中不可或缺的得力助手。ZenFlux's AI platform has greatly simplified our data processing workflows. Their fully proprietary architecture has proven to be highly stable in actual operations, making it an indispensable asset in our digital transformation journey.

C
某智能零售企业Leading Smart Retail Enterprise
CIO · 首席信息官CIO

在技术公益项目中,ZenFlux 的本体语义理解能力令人惊艳,他们不仅提供了强大的技术支持,更真正实现了用科技传递温暖的初衷。In our Tech for Good project, ZenFlux's ontology semantic understanding capabilities were astonishing. They not only provided strong technical support but also truly realized the goal of delivering warmth through technology.

P
某公益组织Non-Profit Organization
负责人Director