EinNel MDOX

MDOX - Design Twin Platform

AI-Powered Digital Twin Platform for Vehicle Design and Performance Exploration

MDOX - AI-Powered Engineering Modules

Vehicle
Synthesis

Integrating all vehicle-design aspects into an optimized, intelligent virtual prototype.

Electric Drives &

Battery Systems

AI-enabled propulsion modeling, energy efficiency, and performance optimization.

Vehicle Stiffness &

NVH

AI-based modal and stiffness analysis, noise prediction, and structural refinement.

Multidisciplinary Optimization

ML-assisted trade-off analysis to balance weight, cost, and performance.

Agentic Vehicle
Intelligence

Agentic AI for automated performance integration and function analysis.

Vehicle
Crashworthiness

Predictive crash analysis, safety optimization, and material
insights.

Vehicle
Aerodynamics

Intelligent airflow analysis, drag reduction, and cooling
optimization.

Vehicle
Benchmarking

AI comparative analysis of design, performance, and
efficiency.

MDOX - Software Module

Data Lake

A repository of data from Crash, Durability, NVH, Aerodynamics, UHTM etc. managed in big data system.

Design Data Warehouse

A proprietary integrated data system of vehicle engineering that allows design exploration.

Powerful BI

EinNel’s Business intelligence analyzes data for actionable insights to help vehicle designers.

Design Explorations

A powerful and user-friendly visual exploration to methodically examine data for deeper understanding and insights.

Design Sensitivity

A module with powerful algorithms, visual display of design sensitivity, what-if study, trade-off analysis, and interactive design optimization.

Machine Learning

The MDO AI engine takes large amounts of simulation data and provides the system with the ability to automatically learn and improve prediction of response on design changes.

MDOX

The platform provides a wide range of data accessibility to set up Multidisciplinary Design Optimization in the same work environment.

MOO

The data platform provides an easy way of defining workflows with efficient algorithms for trade-offs between conflicting objectives in quick session.

Robustness Evaluation

The platforms helps in the identification of the most affecting input scatter for every response and quantification of input variable influence using the best technique.

Reliability Analysis

Estimate product failure probability, ensure best quality with clearly defined failure limit, reliability algorithms and estimation of failure probability.

Key Objectives

Immortalize Engineering Intelligence
Transform Static Data into Motion
Enable Effortless Queries
Replace Reports with Live Dashboards
Unify all Engineering Data
Optimize Design Efficiency
Design and Discover Anywhere

Knowledge Systems

Vehicle Architecture Intelligence
Crash Correlation Engine
Structural Performance Library
E-Powertrain Insights
Aero Efficiency Model
Benchmark Analytics System
Optimization Knowledge Hub