AI Simultaneous Engineering & Simulation
Innovating the automotive design and development phase through AI learning and inference, presenting a new paradigm for simultaneous engineering and DCS simulation.
Building an intelligent engineering environment that simultaneously shortens development time and improves quality by pre-verifying productivity, quality, workability, and functionality in the early stages of design.
- AI Agent SE Solution (Simultaneous Engineering)
- 3DCS AI Agent Simulation Solution
- CATIA API based automatic verification system
- Learning design data and building a knowledge base
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- CATIA API native integration
- Deep Learning-Based Design Analysis and Inference
- Automatic problem filtering
- Automatic reporting of improvement plans
- Large-scale reference learning
Simultaneous Engineering Market Trends
The rapidly changing automotive development environment and the growing need for automated verification.
13.2%
Compound Annual Growth Rate(CAGR, 2025-2030)
$15.3B
Global Market Size Projection for 2030($8.2B in 2025)
- Pressure to shorten development cycles
from 48 months to 24 months, accelerating the transition to Software Defined Vehicles (SDVs). - Costs of design changes skyrocket:
Late-stage changes can cost 10-100 times more than early-stage changes (Rule of Ten) - The proliferation of small-batch, multi-variety production,
diversification of electric vehicle (EV) platforms, and the increase in derivative models are leading to a surge in verification workload.
Inefficiencies of manual review
An average of 40 to 80 hours are required per design, with excessive amounts of simple, repetitive work.
Human error and quality deviations
Results vary depending on the reviewer's skill level, and knowledge transfer is disrupted.
Silo phenomenon between departments
Data inconsistencies and feedback delays between design, production, and quality departments.
AI Agent SE Solution World First
AI scans and evaluates 3D CATIA drawings created by designers in real time, filters out production, performance, quality, and workability issues in advance at the early design stage, and automatically suggests optimal improvement plans. mark> Intelligent Engineering Solutionsno see.
- Productivity: Automatic analysis of processing difficulty, number of processes, and assembly sequence
- Performance: structural rigidity, weight optimization, material suitability assessment
- Quality: tolerance setting appropriateness, surface quality, and ease of inspection.
- Workability: Assembly accessibility, tool availability, ergonomics/span>
- Works seamlessly as a plug-in within CATIA
- Real-time drawing scanning and geometry parameter extraction
- Automatic highlighting of problem areas (color coded by severity)
- Automatically generate improvement suggestions and insert 3D annotations
- Learning from thousands of global OEM reference project data
- Analysis of past design change history and failure case patterns
- Reflection of feedback loop on quality issues that arise after mass production
- Learning customized verification rulesets for each company and vehicle type
- One-click generation of detailed multilingual reports based on verification results
- Automatic classification of issues by priority (Critical, Major, Minor)
- Create a comparison chart of shapes and simulation results before and after improvement
- Provide web links for sharing with related departments (production, quality, purchasing)
3DCS AI Agent Simulation Innovation
The AI agent automatically runs and analyzes 3DCS (Dimensional Control System) simulations, automates the complex tolerance analysis process, and proposes optimal tolerance designs, thereby balancing cost and quality.
Next-generation simulation solutions
- Automatic creation of 3DCS simulation models from CATIA drawings
- Automatic calculation and setup of tolerance stack-up between parts
- Automatic application of statistical analysis techniques such as Monte Carlo and RSS
- Eliminate manual input errors and dramatically reduce modeling time
- Automatic calculation and reporting of Cp/Cpk process capability indices
- Potential defect incidence prediction and risk assessment scoring
- Proposal for tolerance optimization based on cost-quality trade-off
- Relax excessive tolerances or eliminate unnecessary precision tolerances.
- Simulation of various variables such as material changes and process changes
- Automatic Worst Case Detection and Boundary Verification
- Identifying key influencing factors through sensitivity analysis
- Preemptive quality verification in a virtual production environment
- One-click generation of detailed multilingual reports based on verification results
- Comparison of simulation results with actual production data (CMM, etc.)
- Continuous model calibration through difference analysis
- Real-time data sharing and collaboration with the quality control department
- Continuous learning: continuous improvement of AI models through accumulated data
Industry-first innovation and differentiation Game Changer
- The world's first CATIA + AI Agent integration.
Breaking away from the existing separate verification tools and manual review methods, we implemented an AI verification system that operates in real time within CATIA. - End-to-End Automation
Design Analysis → Problem Detection → Improvement Proposal → Simulation → Report Generation - Seamless automation of the entire process. - Large-scale learning data intelligence
By learning the design, production, and quality data from thousands of completed projects, we provide high-precision AI models specialized for each industry and component. - Real-time collaboration platform
Design/production/quality/purchasing departments can access the cloud simultaneously to share knowledge and accelerate decision-making.
80% ↓
Reduce design verification time60% ↓
Reduce the number of design changes45% ↓
Reduction of mass production quality defects25% ↓
Reduce overall development costs- SaaS subscription license (monthly/yearly)
- Custom On-Premise Deployment
- Professional consulting and engineering training services
- Support for legacy system integration
Return on investment (ROI) within 12 to 18 months on average after implementation
AXNOVA Competitiveness
Automotive OEM experience / Over 30 years of project execution experience
CATIA API expert development team & AI engineering capabilities
Securing a global automotive industry network
A large-scale, verified reference database