Navigator of Business

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Intelligent data governance unlocks the unlimited potential of data assets, allowing every AI project to shine—efficient, flexible, and seamless development experience.
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Company Features

Cruxover Tech, established in 2019, is a software service company with data science services as its core technology. The scope of services includes two operating models: data science solutions and data application software products.

Diversification

A diversified product portfolio can meet the diverse needs of customers, providing comprehensive data management and analytics support.

Professionalism

Assisting clients in effectively addressing their data processing and analysis needs, addressing the professionalism required to overcome data-related challenges.

Flexibility

Selecting the most suitable operational model based on the specific needs and characteristics of the client and project.

Products

Omni-channel Customer Perspective, Unleashing the Era of Personalized Marketing

We've created a comprehensive Customer Data Platform (CDP) to offer businesses a single solution for data management and analysis. This integrated product enables effective collection, integration, and analysis of customer data from various touchpoints, driving personalized customer experiences and business growth

This comprehensive platform combines the core strengths of three products, offering the following key features:
  • Omni-channel Data Integration

    Seamlessly integrate online and offline customer data, providing a 360-degree view of customers.

  • Real-time Data Analysis

    Utilize advanced tools for instant business insights, aiding quick decision-making based on customer behavior.

  • Personalized Experience

    Boost interaction and loyalty with tailored segmentation and marketing.

  • Intelligent Marketing Automation

    Use AI to automate campaigns, boosting conversion rates and engagement.

  • Data Security and Privacy

    Strictly adhere to data protection regulations to ensure customer data security and privacy.

Product

Data Governance: A New Starting Point for Driving Business

Cruxover offers an innovative data governance solution, providing comprehensive data management, quality control, security, and compliance for businesses. This integrated product ensures effective management of data assets, maintaining data accuracy, availability, privacy, and regulatory compliance.

The DataWiki data governance platform integrates the core functionalities of two products into one unified management system, offering the following key features:
  • Data Discovery & Classification

    Automatically identify and categorize all enterprise data.

  • Data Quality Management

    Maintain data accuracy and consistency with comprehensive tools.

  • Security & Privacy Protection

    Safeguard sensitive data and ensure compliance.

  • Data Lineage & Impact Analysis

    Track data flow and analyze its business impact.

  • Self-Service Data Access

    Enable users to access and utilize data effortlessly.

Product

Empower every line of code to unlock the infinite possibilities of AI—
an all-in-one platform providing comprehensive support.

Cruxover focuses on MLOps model lifecycle management. The seamless development, training, and deployment experience of DSL enable models to be more than just a product of training, but sustainable, iteratively optimized enterprise assets.

The platform combines efficient GPU resource management with accelerated AI development processes, key features include:
  • Flexible GPU Resource Management

    Through an intuitive web interface, IT administrators and AI developers can efficiently allocate and manage GPU resources, maximizing computing power utilization.

  • One-Click Deployment of AI Development Environment

    Supporting tools like Jupyter Notebook and Tensorboard, the platform offers one-click installation and access, streamlining the development process.

  • Resource Isolation and Permission Control

    Implementing granular resource quotas and permission management to ensure fair allocation and prevent misuse.

  • Automation and MLOps Integration

    Supporting automated task execution and integration with MLOps processes, enabling rapid iteration and continuous integration of AI projects.

  • Scalability and Compatibility

    Designed with scalability in mind, the platform supports both cloud and on-premises cluster computing, and is compatible with multiple deep learning frameworks, adapting to projects of different scales and requirements.

Product

Solution

Real-Time Intelligence: The Journey of Instant Data Transformation from IoT to Decision-making

Real-time Processing of IoT Data Applications

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Decoding the Customer DNA: The Art of Crafting Precise Customer Profiles.

User Persona

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From Logs to Insights: Unlocking Data Potential with Elasticsearch.

Enterprise Elastic Search

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Future Trends in Data Centers: Accelerating Enterprise Digital Transformation with Cloud-Edge Integration Strategie

Cloud Data Warehousing, Data Center, and Data Hub Design Planning

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Real-time Insights, Limitless Possibilities: Building an Efficient Big Data Processing Platform

Enterprise-level Big Data Computing

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Innovation Driven by Data: Deep Integration of LLM into Core Enterprise System

OpenAI Integrating Service

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Cases

Assisting Life Insurance Providers in Implementing MLOps to Lead Rapid Iteration in Model Development

In today's rapidly evolving landscape of data science applications, Cathy Life Insurance & Shin Kong Life Insurance has leveraged our MLOps model lifecycle management product, Data Science Lab (DSL), to facilitate one-stop development of various insurance actuarial models and iterate quickly. Through the implementation of DSL, Cathy Life Insurance & Shin Kong Life Insurance has simultaneously enhanced model development efficiency, model risk management, and gained a competitive advantage, while achieving goals of model lifecycle management and business growth.

  • Upgrade efficiency in one-stop model deployment and operation.
  • Precision prediction through machine learning, further enhancing service experience.
  • Leading the industry, continuous business growth!
Product

Providing Data Governance and Enterprise Data Sharing for Banking Industry Clients

In general, data requirements often rely on IT units to receive data requests and produce outputs. However, it is common to encounter unclear demands, repetitive communication, or differing perceptions, resulting in significant difficulties in data supply and application. In response to the data democratization movement, companies need to provide a comprehensive platform for all internal personnel to understand their own data assets and their applications. In fact, what companies expect is not for business unit personnel to learn sophisticated data analysis skills, but rather a set of processes and methods that enable everyone to explore data, articulate clear demands, and even autonomously apply them. This case involved assisting First Bank in optimizing internal data sharing through the Enterprise Data Wiki data governance platform, solving the problem of unclear demand communication, enhancing decision-making, and creating more competitive financial products and services.

  • Comprehensive understanding of data assets within the bank
  • Standardization and assurance of data quality and availability
  • Achieving data sharing democratization!
Product

Tailored Cloud Data Application Ecosystem for Automotive Industry Clients

Through outstanding cloud infrastructure integration capabilities, we assisted Hota Group in integrating group data into a cloud data lake, establishing a cloud data center as the pivot of enterprise data flow. By fully constructing a Customer Data Platform (CDP) combined with 360-degree customer personas, besides functionalities such as customer list retrieval and automated marketing, we also enabled the creation of personalized customer tags, coupled with models for customer prediction and precise product recommendations. We excel in assisting clients in flexibly utilizing the latest services and IT architectures, harnessing larger volumes of data for unlimited value addition to enterprise data, and constructing a 360-degree data application ecosystem.

  • Assisting enterprises in flexibly planning data ecosystems
  • Integrating CDP with 360-degree customer data for service extension, expansion, and optimization
  • Leveraging data analysis and machine learning for data value enhancement
Product Solution

Assisting Smart Service Industry Clients in Optimizing Log Management and Analysis Using ELK

We assisted uTagGO in building with ELK, not only accommodating vast and scattered log structures but also rapidly integrating app error information and system failure data, greatly enhancing the app user experience!

uTagGO generates a large amount of log data every day, recording user behavior, system operation status, and other information. Through ELK, uTagGO can more effectively manage and analyze this data, thereby improving operational efficiency and security.

  • Analyzing toll payment habits of highway users to optimize the payment process.
  • Optimizing parking space recommendations through user payment information.
  • Monitoring vehicle conditions to prevent malfunctions.
Solution

Integrating Cloud-Native and On-Premises Architectures to Build Equipment Security and Monitoring for Telecommunications Industry Clients

As a leading digital technology provider in Taiwan, Far Eastern Electronic Toll Collection (FETC) faces challenges in allocating and utilizing internal cloud resources efficiently. We leverage cloud-native services to handle and process large volumes of ETC equipment log data, providing real-time reporting and alarm detection capabilities. This enables FETC to enhance business efficiency, improve customer experience, and ensure data security. This successful case demonstrates the importance of integrating cloud and on-premises resources, as well as the effectiveness and reliability of our solution.

  • Prioritizing data security by effectively integrating sensitive data and precise utilization.
  • Efficiently processing and monitoring large volumes of log data.
  • Driving business growth through data-driven approaches, enhancing customer experience.
Solution

News

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