Our Solutions

1. Data Cleansing & Structuring Service

Pain Point: Data locked in various formats (Excel, PDF, scans), poor quality hindering analysis.
Features:

• Supports Excel, CSV, PDF, scanned documents.
• Automated field recognition, cleaning, standardization.
• Builds high-quality foundational data pool. High automation.

Benefits: Improved data quality, enables reliable analysis, saves manual effort.
Use Cases: Preparing data for BI, AI model training, system migration.

2. Private RAG Knowledge Base Construction

Pain Point: Need for secure internal knowledge search, leveraging company-specific documents without cloud risks.
Features:

• Fully on-premise deployment ensuring data security.
• Integrates internal knowledge (reports, contracts, presentations).
• Continuous automatic updates, configurable access control.

Benefits: Secure knowledge asset, faster information retrieval, preserves corporate memory, avoids vendor lock-in.
Use Cases: Internal Q&A, research & development support, compliance checks, training material access.

3. AI Industry Analysis Report Generation

Pain Point: Difficulty combining internal performance data with external market trends for strategic insights.
Features:

• Input: Internal data (orders, pricing, supply chain).
• Combine: Real-time news, commodity prices, policy data, etc.
• Output: Predictive weekly/monthly reports/briefings with actionable suggestions. Customizable formats.

Benefits: Proactive decision-making, better market anticipation, data-driven strategies.
Use Cases: Sales forecasting, supply chain risk management, competitive analysis, strategic planning.

4. Quality Data Analysis & Improvement Suggestions

Pain Point: Struggling to identify root causes of quality issues, reactive problem solving.
Features:

• Connects to production line quality data, QC reports.
• Uses AI to find anomaly patterns and trends.
• Provides actionable technical recommendations based on best practices. Predictive alerts.

Benefits: Reduced defects, improved product quality, lower warranty costs, optimized processes.
Use Cases: Manufacturing quality control, process engineering, supplier quality management.

5. IT Modernization: Cloud & Open Source Transformation

Pain Point: High IT costs (hardware, licenses), lack of system flexibility, vendor lock-in, need for a stable AI platform.
Features:

• Migrate local systems (ERP, MES, DB) to Cloud (AWS, Azure, GCP, Private).
• Replace costly licenses with robust Linux & open-source alternatives (e.g., PostgreSQL).
• Includes technical training, SOPs, security design, backup & DR.

Benefits: Significantly lower TCO, enhanced scalability & reliability, freedom from vendor lock-in, solid foundation for digital transformation & AI.
Use Cases: Cost reduction initiatives, companies adopting AI/big data, businesses needing flexible/remote IT infrastructure.