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Sal sat down with Alireza and Ulrich from Natix to explore their groundbreaking work with VX360, a 360-degree camera system designed to generate near-miss driving scenarios for autonomous vehicle testing. With over 190,000 registered drivers and 100 million kilometers of road covered, Natix focuses on dynamic, real-time data rather than static mapping. Alireza shared insights on AI, deep learning, and the growing importance of real-world data in autonomous driving, while Ulrich detailed how VX360 captures critical video data for scenario generation and object detection. The conversation also covered Natix’s first paying client, collaborations within the autonomous driving space, and a call-to-action for Tesla owners to become early adopters of VX360.

Timestamps:

00:00 - Introduction

00:34 - Sponsor Message: Polygon Labs

00:55 - AI and DePIN: A New Frontier

02:07 - Dash Cam Footage: Use Cases and Applications

04:22 - Current Status: Drivers and Road Coverage

05:55 - Dynamic Data vs. Unique Kilometers

06:48 - Collaboration with Other Mapping Companies

08:52 - Overview of VX360 Product and Its Purpose

09:22 - Scenario Generation for Autonomous Vehicles

11:24 - Importance of 360 Video Data

12:22 - Tesla's Role and Compatibility with VX360

14:22 - Monetization and Target Customers

16:30 - Messari Copilot Ad

17:23 - Token Economics and Revenue Accrual

20:11 - Scenario Focus Over Kilometers Driven

21:35 - Monetizing Street Level Imagery

22:13 - First Paying Client and Future Prospects

25:28 - Scaling Demand and Product Development

28:00 - Revenue Accrual to the Token

29:52 - Closing Remarks and Call to Action

Disclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.

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