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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Let’s jointly examine your business scenarios and explore how our core capabilities can be translated into your specific competitive advantage.
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AI‑Powered Inspection & Testing

Leveraging large AI models as the core technology, we enable end‑to‑end automation of the inspection workflow—enhancing customer service interactions, accelerating and improving the accuracy of application form and quote generation—to empower enterprises with upgraded services.

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Solution Value

In response to the urgent need of inspection and testing service providers for process standardization, efficiency improvement, and customer experience optimization, we deeply integrate advanced AI technology with industry expertise to create an Intelligent Business Automation Solution. This solution serves not only as an enterprise's "Smart Assistant" — enabling the mining and structuring of value from historical data through high-precision OCR and unstructured data processing capabilities — but also as its "Rule Brain." By leveraging large language models and a business rule repository, it achieves accurate understanding of client intent, automated generation and intelligent validation of application forms/quotes, ultimately realizing intelligent, automated, and standardized business processes that significantly enhance operational efficiency and customer satisfaction.

Core Modules

Intelligent Unstructured Data Processing Engine

Based on high‑precision OCR technology, it automatically identifies and extracts key fields—such as customer name, inspection items, sample information, and quoted amounts—from historical application forms, quotes (PDFs, scans, including handwritten content), and performs data cleaning, deduplication, and standardization, laying a solid foundation for knowledge accumulation and model training.

Visual Business Rule Repository

Systematically organizes core business logic—including test‑item classification, qualification requirements, fee standards, and pricing formulas—to build a reusable, updatable, and visually managed structured rule repository with version control, ensuring accuracy and consistency of business rules.

Industry‑Tailored Large Language Model

Built on the "DeZhen" large language model and fine‑tuned with annotated data and the business‑rule repository, it possesses robust capabilities in customer‑intent recognition, contextual understanding, automated field‑filling, and logical validation—accurately generating compliant application forms and quotes.

Intelligent Interaction & Application Platform

Provides a natural, fluid front‑end interface that simplifies operational steps and supports API integration for seamless connection with existing business systems, ensuring smooth data flow and eliminating duplicate entry.

End‑to‑End Monitoring & Operations Center

Offers a real‑time monitoring dashboard to comprehensively track system status, data‑processing efficiency, API performance, and business‑rule execution, ensuring stable and efficient system operation while supporting continuous optimization.

Overall Architecture

The solution employs a layered, decoupled, and highly available technical architecture:

Application Layer

Provides a user‑friendly web front‑end and standardized APIs, responsible for receiving business requests and presenting results.

Service Layer

Deploys the intelligent processing engine, rule engine, and large‑model services, encapsulating core business logic and AI capabilities.

Compute Layer

Built on high‑performance GPU servers (H100 for training, A100 for inference), it delivers robust computing power for model training and inference, ensuring fast response under high concurrency.

Data Layer

Uses high‑availability database clusters and distributed file storage to securely and reliably manage business data, rule repositories, and unstructured documents.

Operations Layer

Implements comprehensive system monitoring, log management, alerting, and automated deployment to guarantee system SLA.

Key Advantages

High Precision & Automation

Unstructured‑data extraction accuracy ≥95%; application form/quote generation complies with business standards, significantly reducing manual intervention and errors.

Deep Business Understanding

Built on the established business‑rule repository and industry‑fine‑tuned model, the solution deeply understands inspection business scenarios and workflows, delivering professional and reliable outputs.

Flexible Integration & Rapid Deployment

Offers standardized APIs for quick integration with existing business systems; modular design supports on‑demand deployment, shortening time‑to‑value.

Proven Reliability

The architecture supports high concurrency (interface availability ≥99.5%), with comprehensive monitoring and operational systems ensuring 7×24‑hour stable service.

Quantified Benefits

  1. Efficiency Gain
    Automating the processing of unstructured data and generating business documents increases operational efficiency 5‑10x, freeing professionals to focus on higher‑value tasks.

  2. Accuracy Assurance
    Through dual validation by rule repositories and AI, the accuracy of business documents is significantly enhanced, effectively reducing costs and risks caused by human error.

  3. Customer Experience Optimization
    Fast and accurate quoting and application processes shorten customer wait times, improving satisfaction and loyalty.

  4. Knowledge Retention & Standardization
    Transforms scattered operational knowledge into structured, rule‑based digital assets—forming core enterprise intellectual property—and promotes process standardization and continuous optimization.

Application Scenarios

  • Historical Data Digitization & Knowledge Mining
    Performs batch OCR recognition and field extraction on vast volumes of historical paper‑based application forms and quotes. After data cleansing and standardization, the processed data is stored in a database, automatically classified and tagged based on the business‑rule repository, quickly building a searchable, analyzable digital‑asset library—providing a high‑quality data foundation for subsequent analytics and model training.
  • Intelligent Customer Service & Quoting
    When clients submit testing requirements through online channels, the industry‑customized large model accurately understands their intent, automatically interacts to clarify details, and performs automatic field‑filling and logic validation based on the visual business‑rule repository (e.g., test‑item classification, fee standards, quotation formulas)—instantly generating a preliminary quote, significantly improving response speed and professionalism.
  • Automated Application‑Form Generation & Review
    After staff enter basic information, the system calls AI services via the intelligent interaction platform to automatically populate complex item details, applicable standards, sample requirements, etc., producing a standardized application form. Built‑in logic validation flags potential conflicts or missing information, assisting in human review to ensure the form is compliant and accurate—enhancing smoothness in downstream testing processes.

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