Building in Public

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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.