#Germany #Munich #Autonomous Driving #DeepRoute.ai #DeepRoute IO

DeepRoute.ai Unveils DeepRoute IO 2.0 Platform at IAA Mobility 2025

In an exciting development for the autonomous driving industry, DeepRoute.ai has officially introduced its latest innovation, the DeepRoute IO 2.0 platform, during the IAA Mobility 2025 event in Munich. Known for being a pioneer in intelligent driving technology, DeepRoute.ai is focusing on delivering mass-production ready solutions powered by its advanced VLA (Vision-Language-Action) model. This cutting-edge platform is not just a technological marvel; it marks a significant step towards providing safe, scalable, and adaptable driving alternatives globally.

Breaking Records with Mass Production

DeepRoute.ai has made waves in the automotive sector, with over 100,000 passenger vehicles already equipped with its state-of-the-art autonomous driving systems. With plans to expand its robotaxi venture using mass-produced vehicles, the company is showcasing impressive growth in production capability and engineering excellence regarding adaptability and safety standards.

Expanding Horizons: A Global Approach

DeepRoute.ai's globalization strategy incorporates a dual-track method. While the company draws on its rich domestic production experience to assist partners in launching intelligent vehicles abroad, it also customizes driving solutions for international and joint-venture car manufacturers. This strategy has led DeepRoute.ai to expand into crucial international markets, including Europe, Japan, and South Korea, thereby further enhancing its global footprint.

Maxwell Zhou, CEO of DeepRoute.ai, stated, "Our VLA-powered platform seamlessly integrates intelligence with adaptability, ensuring it is tailored for European roads."

Features of DeepRoute IO 2.0

The DeepRoute IO 2.0 platform boasts exceptional modularity, permitting automakers to integrate intelligent driving features across various vehicle models and segments. Supporting both LiDAR and pure-vision configurations, alongside multiple automotive-grade chips, the platform's architecture is designed for maximum flexibility.

At the forefront of this platform is the VLA model, which combines multimodal vision, language, and action. Enhanced by Chain-of-Thought reasoning, this allows for advanced temporal and causal inference. In contrast to traditional end-to-end models, the VLA model provides remarkable interpretability and a traceable decision-making process, fostering trust through transparency.

A Model of Adaptability and Safety

The VLA model is engineered to incorporate language capabilities with an extensive knowledge base and continuous learning ability. This allows for rapid adaptation to various road conditions, signage, and driving cultures worldwide. The VLA model also demonstrates its resilience in real-world situations, particularly in Europe's challenging driving environments.

Safety is another fundamental feature of this innovative model. With enhanced spatial understanding, logical reasoning, OCR (Optical Character Recognition) abilities, and voice command features, the platform can respond proactively to high-risk scenarios such as blind curves and complex intersections. Its capability to execute human-like defensive driving maneuvers, including early deceleration and smart rerouting options, accentuates its reliability.

Shaping the Future of Intelligent Mobility

By bringing together intelligence, adaptability, and safety, DeepRoute.ai is pushing the boundaries of the automotive industry toward a future defined by enhanced, more dependable mobility solutions. The launch of the DeepRoute IO 2.0 platform represents a pivotal moment in the evolution of smart driving technology and is set to significantly influence the next era of intelligent transportation.

For those attending IAA Mobility 2025, DeepRoute.ai will be exhibiting at Hall A2, Booth D25, where they will also feature a keynote speech by a company representative on September 9 at Hall B2 Summit Stage. For further details, visit deeproute.ai.