World Foundation Models learn the world from video 🌎
But if the footage only looks forward, the model only understands what’s ahead.
Autonomous systems need the full scene. That’s why NATIX builds on real-world multi-camera footage, not just a front view 👀
Models are getting cheaper. Compute is getting easier to buy.
Real-world data is still the bottleneck 🔍
Robots and autonomous systems need the long tail of real roads, seen from every angle. NATIX captures it at scale with multi-camera footage from drivers worldwide 🚗🌎
Physical AI labs are paying for the one thing they can’t generate: real-world data 🌎
That’s what NATIX has been building, one car camera at a time 🚗
And as @AlirezaGhods2 hinted, something is cooking 👀
crypto data businesses might be one of the biggest opportunities right now.
microagi just went from 0 to $100M ARR in 6 months, the fastest revenue ramp on this entire chart, beating OpenAI, Cursor, Higgsfield and everyone else.
interestingly the engine behind this was Shift,
A better model alone won’t get autonomy to scale 🚗
It also needs rare road cases to learn from, every camera angle to see the full scene, and real-world footage to test and validate against.
That’s the golden trio. NATIX’s multi-camera data covers all three 🔍
Real data. Real revenue. Real burns 🔥
Drivers collect multi-camera footage, AI teams buy it, and every sale becomes protocol revenue that buys back $NATIX and burns it.
The more Physical AI needs real-world data, the more this loop runs 🌎
World Models simulate reality, but if you feed them nothing but internet data, how much reality are you actually capturing?
Real-world multi-camera driving data is the key to unlocking the next generation of autonomous systems. 🗝️
That's how autonomy scales 📈
Most World Models today are built on front-facing driving videos. ➡️
But reality comes at us from all sides. That's why multi-camera video data is extremely valuable for autonomous driving simulations. 🔁
That's the data NATIX offers 📹
Missed our latest token burn? We've got you covered 😉
224,971,878 $NATIX burned across Q2 and Q3 🔥
Our drivers collect data. Companies pay for it.
Real demand = Value accrual to the token.
Over 931M tokens were already permanently removed from the supply in total 💪
Another DePIN working with another AI lab, serving them data they couldn't get anywhere else.
what people don't take into account: the hardest part is actually getting in the door with these labs and meeting their quality requirements. but once you're signed, you become an endless client relationship with practically infinite demand / revenue.
how much longer are you going to ignore that the most undervalued projects in the entire space are sitting right here?
NEW AI CUSTOMER BUYS 3,000 HOURS OF NATIX DRIVING DATA 🚗
We've signed a six-figure deal with an AI lab pioneering general world models. Real demand for DePIN on @solana.
Not a research collab. Not a free dataset. A paying customer.
NEW AI CUSTOMER BUYS 3,000 HOURS OF NATIX DRIVING DATA 🚗
We've signed a six-figure deal with an AI lab pioneering general world models. Real demand for DePIN on @solana.
Not a research collab. Not a free dataset. A paying customer.
@Dab1459479@solana Yes we have indeed more than 3,000 hours, north of 200,000 hours, collected by our network but this is just the start of our collaboration With this AI lab.
8/
The Physical AI data economy is no longer theoretical, and this is just the start.
NATIX drivers capture the physical world. We turn it into the data Physical AI needs 👇
natix.network/blog/natix-dat…
7/
And every sale becomes protocol revenue ⚡️
With our Q2 and Q3 burns, 224,971,878 $NATIX are now gone for good 🔥
That's value accrual tied to something real: Our drivers generate data ➡️ AI companies pay for data ➡️ that revenue flows back to the token.
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