Igal Raichelgauz, Founder & CEO, Autobrains joined Grayson Brulte on The Road to Autonomy podcast to discuss the company's strategic partnership with VinFast and the development of an affordable, scalable robo-car.

The operational backbone of Autobrains’ strategy is a Thinking AI approach that utilizes an agentic architecture rather than traditional monolithic models. By using a library of specific skills that can be added incrementally, the system scales from basic safety features to full autonomy without requiring massive data retraining or excessive computational power.

In the field, Autobrains is rigorously applying its technology to the VinFast VF 8 and VF 9 models, proving the system's robustness in some of the world's most complex driving environments, such as the congested streets of Hanoi, Vietnam. Autobrains utilizes a vision-only approach that mimics human perception to navigate urban traffic, heavy rain, and high-speed highways.

Autobrains’ Physical AI ecosystem also includes an air to road localization system, which uses compressed satellite imagery signatures to provide 10-centimeter positioning accuracy. Allowing the vehicle to localize itself globally and understand lane boundaries or construction sites without relying on expensive, high-maintenance HD maps.

Looking ahead, Igal envisions a future where autonomous driving reaches a mass-market inflection point within the next five years. This evolution aims to fundamentally transform the industry by delivering a fully autonomous robo-car at a $30,000 price point, enabling every vehicle to become a revenue-generating asset that increases safety and gives time back to the consumer.

Episode Chapters

00:00 How the VinFast Deal Came Together

03:16 Skills-Based Agentic AI Architecture

07:16 Six Cameras, 360° Coverage, Low Compute

09:37 Air-to-Road: Satellite Imagery Replaces HD Maps

12:40 Robo-car Vision

15:10 The $30K Fully Autonomous Car

20:20 The Thinking Layer

24:22 20 Teraflops, Sub-20ms Latency, Edge Computing

27:58 No Lidar: The Vision-Only Thesis

28:59 The Future of Autobrains

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