Agile PLM × AI Assistant

Service

Agile PLM × AI Assistant

Service

Transforming 10 Years of R&D Data in Oracle Agile PLM into an AI-Powered Engineering Assistant

RAG Knowledge Base + MCP Server

AI-Driven Next Generation of R&D

Anson Information Oracle Agile PLM × AI Knowledge Assistant Full-Stack Solution

Turn enterprise R&D knowledge into a strategic competitive advantage and embrace the AI-driven era of innovation management.

With AI rapidly transforming industries worldwide, R&D knowledge management is entering a new era. Anson Information continues its deep expertise in Oracle Agile PLM and, in collaboration with Phison Electronics, has developed an on-premise AI-powered R&D knowledge assistant solution, officially showcased at COMPUTEX 2025. The solution demonstrates cutting-edge PLM + AI integration.


Industry Challenge: The “3B Problems”

Enterprises face three major challenges when leveraging years of accumulated R&D data:

  • Baseline inconsistency (lack of unified standards)
  • Background gap (insufficient contextual information)
  • Benchmarking difficulty (lack of effective comparison and evaluation)

To address these issues, Anson Information integrates Oracle Agile PLM with AI technologies to transform legacy PLM data into a real-time, highly connected enterprise knowledge graph.


Solution Highlights

AI × PLM Deep Integration

Combines Oracle Agile PLM lifecycle management capabilities with modern AI technologies (LLM, RAG, etc.) to automatically extract, classify, retrieve, and generate R&D knowledge, ensuring valuable engineering know-how is never lost.

Multi-Format Intelligent Document Processing

Supports PDF, Word, Excel, PPT, images, JSON, and more. Rapidly structures and ingests technical reports, manuals, meeting notes, FAQs, and patent documents into a unified knowledge base.

Enterprise AI Assistant – Ask Your Knowledge

Built-in natural language chat interface provides instant, accurate R&D insights, improving decision-making efficiency and innovation speed.


Robust Knowledge Validation Framework

To ensure accuracy and reliability, the AI assistant is validated through four key stages:

1. Data Extraction & Ingestion Validation

Verifies data parsing, transformation, and import processes using real-world datasets. Supports CSV, JSON, XML formats.

2. Embedding Model Evaluation

Tests multiple embedding models (e.g., BGE-M3, Nomic-embed-text) to evaluate semantic understanding and chunking strategies.

3. LLM & Knowledge Base Quality Testing

On-premise evaluation of lightweight LLMs (e.g., DeepSeek, LLaMA, Qwen) using curated Q&A datasets to optimize accuracy and stability.

4. Prompt Engineering Optimization

Custom prompt design for industry-specific scenarios to improve relevance, precision, and response quality across models.


Security & Compliance by Design

  • Fully on-premise deployment to protect core R&D assets
  • Intelligent data cleansing and automated ingestion pipeline
  • High-quality knowledge structuring and relationship mapping

AI Model Optimization Services

  • Multi-model benchmarking and selection
  • Prompt engineering tuning and validation
  • Enterprise-grade response accuracy optimization

Service Scope of Anson PLM + AI Solution

  • Oracle Agile PLM implementation and optimization
  • AI knowledge base design, deployment, and customization
  • Multi-format document parsing and structured ingestion
  • On-prem LLM / RAG architecture deployment and tuning
  • Data cleansing, labeling, versioning, and relationship modeling
  • Custom AI assistant UI design and integration
  • Prompt engineering and model evaluation
  • Security, compliance, and access control design
  • Ongoing maintenance and technical consulting services

Video Introduction

A professional introduction video is available to demonstrate how this PLM + AI solution empowers R&D teams with an intelligent knowledge assistant.


Get Ready for the AI-Driven R&D Era

Contact Anson Information to design a tailored AI knowledge management solution and unlock your enterprise innovation potential with AI-powered R&D intelligence.