Value Proposition
Amid the complexity of data, we build certainty for your business. We offer more than tools—we deliver an intelligent partnership.
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Our value proposition is delivered through core technology platforms that transform cutting‑edge technologies into stable, reliable services.
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About FundeAI
We believe digital‑intelligent technology should augment human expertise, not simply replace it. We recognize the industry’s urgent need for flexible, efficient, and secure digital‑intelligent solutions—and that it requires a partner whose focus is tangible, real‑world value. Learn more
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Core Philosophy
FundeAI is not an IT company — we are builders of intelligent infrastructure. We forge an unbreakable line of defense for trust in an open ecosystem. Our Dynamic Ontology enables data models to evolve alongside your business. We deliver end-to-end assurance, from data source to decision point.
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AI‑Powered Labor & Employment Services

We build an intelligent matching and monitoring platform for labor resources and job positions. Through big data analytics and AI algorithms, we achieve precision, dynamism, and intelligence in employment services—helping governments stabilize employment and promote people’s livelihoods.

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Solution Value

In response to core challenges in the labor market—such as information asymmetry, inefficient job‑to‑personnel matching, and difficulty in accurately grasping the macro employment situation—we introduce an AI‑Powered Employment Service Platform. This solution is not merely a labor‑force registration system; it serves as the government’s “intelligent employment brain” and “resource‑orchestration center.” By aggregating comprehensive data on labor supply and job vacancies, and applying AI models for precise profiling, intelligent matching, and trend forecasting, it transforms passive services into proactive empowerment and macro statistics into micro‑level insights—ultimately enabling optimized allocation of labor resources and fostering stable, healthy development of the employment market.

Core Modules

Panoramic Labor‑Resource Database

Dynamically aggregates and manages provincial/municipal labor‑force data, covering multiple population groups such as registered low‑income individuals, relocated communities, near‑poor households, and general workers. Enables digital profiling and continuous updating of information including skills, job preferences, and geographic distribution.

Job‑Opening & Intelligent Matching Engine

Integrates enterprise labor‑demand data to build a job‑posting repository. Uses AI algorithms to automate precise job‑worker matching based on multiple dimensions such as job nature, skill requirements, and regional preferences—boosting match success rates and efficiency.

Employment‑Situation Monitoring & Command‑Decision Center

Features a visual command dashboard that provides real‑time monitoring and multi‑dimensional, tiered analysis of core indicators including total labor force, employed/unemployed counts, job‑supply status, and matching outcomes—delivering data‑driven support for macro‑level decision‑making.

Dynamic Early‑Warning & Precision‑Service System

Leverages data‑analysis models to issue intelligent warnings on regional unemployment risks, employment difficulties of key groups, and structural job‑market imbalances. Simultaneously supports tiered drill‑down and dynamic monitoring of employment status for specific groups (e.g., low‑income workers), enabling precise delivery of support policies.

Overall Architecture

The platform adopts a three‑layer technical architecture of "Data Integration – Intelligent Analysis – Scenario Applications," ensuring insight, agility, and reliability:

Data Sensing & Aggregation Layer

Ingests real‑time, massive multi‑source data—including labor‑force information, job postings, and transaction records—from human‑resources departments, employers, and public service platforms via multi‑channel connectivity. Performs cleansing, governance, and standardization to form a high‑quality data‑asset pool.

AI Middle Platform & Model Layer

Centrally deploys AI capabilities such as labor‑force profiling models, job‑position profiling models, intelligent recommendation and matching algorithms, and employment‑trend forecasting models. Continuously optimizes matching strategies through machine learning and employs big‑data analytics to deeply uncover inherent patterns and risk signals in the job market.

Intelligent Application & Presentation Layer

provides differentiated applications for multi-level government administrators (provincial, municipal, county, township) and job seekers.These include a large Command & Decision-Making Center dashboard for management decisions, a labor & employment supervision platform for targeted assistance, and public-facing portals for job recommendations and employment services.

Key Advantages

Panoramic Insight, Informed Decision‑Making

Breaks through traditional employment‑service data silos to achieve end‑to‑end, panoramic visual management—from macro labor‑market trends to micro individual employment status—helping governments transition from "experience‑based" to "data‑driven" decision‑making.

AI‑Driven, Precision Matching

Uses intelligent algorithms to replace manual screening, significantly improving the accuracy and efficiency of job‑to‑personnel matching. This enables suitable workers to quickly find suitable positions, effectively alleviating the structural imbalance between “recruitment difficulties” and “employment challenges.”

Dynamic Monitoring, Proactive Warning

Establishes early‑warning models for employment risks, proactively identifying regional or group‑based unemployment threats—shifting from “post‑facto relief” to “pre‑emptive intervention”—and enhancing the initiative and stability of employment initiatives.

Focus on Key Groups, Secure the Baseline

Specially strengthens tracking and service functions for key groups such as low‑income workers and relocated populations, using technological means to ensure precise implementation of employment‑assistance policies, effectively serving livelihood security and national strategies.

Quantified Benefits

  1. Improved Matching Efficiency:
    The intelligent matching engine multiplies the efficiency of preliminary job‑worker screening, shortening recruitment cycles for both job seekers and employers.

  2. Enhanced Macro‑Level Control:
    Empowers managers with real‑time access to dynamic labor‑force and job‑opening data, achieving a “single‑screen overview” of provincial/municipal employment conditions.

  3. Precision Assistance Enabled:
    Through tiered drill‑down and dynamic monitoring of the employment status of the workforce in target provinces/cities, it effectively drives rural revitalization.

Application Scenarios

Provincial Labor and Employment Big Data Platform
  • The platform has successfully built and operated the Labor and Employment Command and Decision-Making Center and the Employment and Labor Supervision Platform.
  • It enables dynamic management of more than 8 million workers across the province and aggregates over 2 million valid job openings.
  • Through dedicated modules, it delivers precise monitoring and intelligent matching for key groups such as registered poor households and relocated populations, serving as a critical pillar for provincial employment services.
  • The platform conducts in-depth analysis across four dimensions: workforce, job positions, service outcomes, and employment stability.
  • It effectively addresses the historical limitations of employment services—lack of comprehensive macro coverage and insufficient micro-level granularity—and significantly improves the scientific allocation of employment resources and the coverage of public employment services.

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