Champion Use Case

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Customer Overview

A global Tier 1 automotive supplier is leading innovation in vehicle software. Their HPC division is focused on safety-critical applications, relying on legacy digital twins for safety checks in driving conditions before vehicles hit the road.

🚗 Segment: Tier 1 Automotive Supplier

🧠 Specialty: Smart Cockpit Systems, Embedded Software, Virtualization

👥 Company Size: ~200,000 employees globally; major presence in mobility and automotive technology

🔥 Project: Delivering CAD-based virtual safety infrastructure that enables real-time and predictive testing of weather, traffic, and road environments to train and connect autonomous software stacks.

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😖 Challenges

Competitors like Tesla are accelerating ahead with camera-first perception models, trained on massive volumes of real-world driving video. This gives them a major advantage in fine-tuning their safety systems for complex, unpredictable conditions.

To keep pace, our customer needs to upgrade their simulation environment to generate high-quality visual and LiDAR data that can train and validate sensor software—before physical hardware is ready. Traditional methods fall short, unable to scale across the wide range of real-world variables that impact safety, such as weather, traffic patterns, road layouts, and unexpected human behavior.

🚫 No GPU-native pipeline to convert CAD models into simulation-ready assets

🚫 Lack of synchronized camera + LiDAR input for training and testing

🚫 No predictive simulation capability to generate edge cases and rare scenarios

🚫 Slow iteration cycles due to fragmented tools, manual workflows, and compute limitations

🚀Champion’s Solution

Champion is the AI-native simulation platform that empowers engineers to test and validate autonomy software—before hardware even exists.

✅ Predictive scenario generation across weather, traffic, and digital humans

✅ Synthetic data at scale to train perception systems faster

✅ CAD-to-simulation asset automation

✅ Built-in high-performance GPU compute + data lake storage

✅ Real-time, cross-platform testing (CAN, LiDAR, radar, Bluetooth, AUTOSAR, Android)

✅ Plug-and-play integration into existing stacks—no in-house dev team required