NATIX Launches StreetVision Subnet on Bittensor for Enhanced Autonomous Driving

NATIX has launched the StreetVision Subnet on Bittensor, a decentralized AI infrastructure, to enhance autonomous driving and map-making. This initiative leverages NATIX’s extensive network of smart cameras, which collect real-world street-level data, and integrates it with Bittensor’s decentralized AI capabilities. The StreetVision Subnet, incubated by Yuma, a subsidiary of DCG, processes 360° data from NATIX’s Tesla network, powered by Grab, to generate critical insights for map-making and Physical AI. This data is then used to refine AI models, which are seamlessly integrated back into NATIX’s Edge Network, allowing for real-time street-level analysis and enhancing the accuracy and responsiveness of real-time detections for map updates and autonomous driving scenarios.

The launch of the StreetVision Subnet addresses the limitations of traditional methods of training autonomous driving systems and updating maps, which often involve costly, centralized processes that fail to promptly capture dynamic, real-world changes. By harnessing decentralized networks, NATIX ensures data collection at an unprecedented scale and frequency, with over 250,000 active contributors who have already mapped over 170 million kilometers. This community-driven approach enables continuous improvement of AI models, significantly enhancing mapping accuracy, autonomous vehicle safety, and real-world responsiveness.

Initially, the StreetVision Subnet will focus on roadwork detection, developing highly accurate, real-time roadwork classifier AI models. This will contribute to safer navigation, timely mapping updates, and improved autonomous vehicle performance. NATIX plans to rapidly expand into additional critical use cases, including potholes, road signs, litter detection, and comprehensive infrastructure monitoring. The subnet will also classify driving videos into standardized traffic scenarios and rare edge cases essential for training autonomous driving systems, helping developers rigorously test and validate their technologies against real-world conditions.

Operating under Bittensor’s Dynamic TAO (dTAO) model, the StreetVision subnet provides continuous rewards, incentivizing miners and validators who produce high-quality outputs. Participants stake NATIX tokens to secure participation, ensuring sustained commitment and performance. Revenue from monetizing subnet-generated insights supports token buybacks and burning, fostering long-term token value and network sustainability. NATIX, started in Hamburg in 2020, is a decentralized network of smart cameras powered by Solana. Its AI-powered Drive& app leverages edge computing to crowdsource smartphone cameras and collect real-time geospatial data, mapping the world around us. Network contributors are rewarded with NATIX’s native cryptocurrency to support better driving-assistant applications and improve infrastructure. With over 250,000 registered drivers and 170 million kilometers covered, NATIX is the biggest mapping DePIN network globally.

Bittensor is a decentralized machine learning network that enables permissionless AI model training and inference. By leveraging a system of interconnected subnets, Bittensor creates an open, scalable, and incentive-driven ecosystem for artificial intelligence. Yuma, a subsidiary of DCG, focuses on accelerating decentralized AI through the Bittensor network. Its mission is to create positive economic and societal change by connecting transformative ideas to decentralized intelligence. Yuma supports early-stage teams building on Bittensor, providing capital, technical support, community access, and long-term collaboration to help launch and grow subnets. Through its accelerator, incubator, validator, and mining roles, Yuma helps shape a more open and accessible future for AI.