NATIX Network

We've posted an update to our @coingecko listing. Verification details: 🆔 Request ID: CU1307260009 ⛓️ GeckoTerminal: geckoterminal.com/solana/pools/E…

5/ This is how open Physical AI gets closer to a data layer that is usually available only to large AV companies. 🛣️Real roads 📹Multi-camera view ➡️Motion 🗒️Route context 💎Long-tail scenarios Supporting open Physical AI research for an autonomous future 💪

4/ The second release is the NATIX Edge Case Driving Dataset: A curated collection of rare, long-tail, real-world driving scenarios. This data is gold for autonomous driving research and validation 😱 We plan to expand this dataset to 1,000+ events. 😱 huggingface.co/datasets/natix…

Physical AI needs real-world driving data at scale, but most of it is locked inside closed fleets. So NATIX is open-sourcing real-world multi-camera driving datasets on @huggingface. Here’s why this is a huge win for autonomy 👇 natix.network/blog/natix-ope…

Why rely on fleet-collected data when you can have non-expert drivers capture the real world? VX360 decentralizes real-world multi-camera data so Physical AI can take the next step, one drive at a time. 🚗

Our June Progress Update is here: 📹>183K Hours of Multi-Camera Footage 💹>1.71B $NATIX Staked 🗓️Drive& staking benefits deadline extended 🚗Why data collected from non-expert drivers is essential for Physical AI Full recap👇 natix.network/blog/progress-…

Expert drivers tasked with collecting data are a terrible way to represent the real world. 🌐 Every scene captured by the NATIX Network was done by an everyday driver, capturing real data. 🖼️ While each scene can translate into endless possible futures with the right tool.

Reality is messy. Sometimes what should happen and what actually does are two different things. The only way to teach Physical AI what the world actually looks like is to capture it. 📸 NATIX captures reality so autonomous driving can move forward. 👉

Everyone talks about compute and data being Physical AI's biggest problems. Not everybody knows that the data Physical AI needs is not just any data. Real-world visual data is the only thing that will drive innovation forward 🚗

This is the bottleneck NATIX is built around. Ordinary drivers, in their own cars, across different cities, weather, and road types, capturing the world as it truly is in its imperfect state. 🌎 Not curated expert clips. The real distribution.

Models trained on expert data only see the states an expert visits. The moment the model drifts, it's in territory the expert never touched. No recovery in the training set. No way back. 🚗 Variance isn't noise. It's the training signal.

Teams building end-to-end driving models start the same way: hire expert drivers, collect clean demos, and get the best data. Then the model meets the real world, and the assumption breaks. ❌ Because perfect demonstrations make worse models. 👇 natix.network/blog/expert-dr…

Is it possible to drive when looking ONLY forward? Luckily, the multi-camera data that NATIX collects means that Physical AI gets to see everything. Every angle matters, every scene captured. 📸

One angle captures what's straight ahead. Four cameras show reality. That makes a huge difference for Physical AI training. NATIX's multi-camera network sees the world as it is, capturing the full scene, so models can learn what the real world really looks like.

Searching through hours of footage just to find one scenario is a thing of the past. With Visual Language Models, one prompt combined with the right kind of multi-camera data can produce endless results. 🔍 That's how we turn visual data into intelligence for Physical AI.

The real world has rules that Physical AI has to learn. Luckily, NATIX multi-camera data makes it simple to extract spatial intelligence from real-world footage. That's how we turn video into data for the future of autonomous vehicles and robots 📹

One centralized data pipeline can't cover the world. 🔍 NATIX does it differently: Decentralized collection, global scale, every road, every market, every edge case. Because the gap between AV demos and AV deployment is a data gap.

NATIX is at the center of some BIG moves in the autonomous driving world 🚗 From World Models to VLMs and End-to-End models, data is the key that binds them together. It's only a matter of time before Physical AI takes over, and the ones building it are using NATIX data 💪