Vader Introduction
VADER is building the data layer for the robotics revolution — an ecosystem where human experience becomes the foundation for machine intelligence.
We believe that the next generation of artificial intelligence will not live inside screens but inside robots — machines that perceive, move, and act in the real world. But for robots to understand the world as humans do, they need one thing above all: data. Not text, not static images — but egocentric video: the visual record of what it’s like to see and act from the human point of view.
VADER is a vertically integrated platform designed to collect, process, and monetize real-world human experience data — transforming everyday actions into structured intelligence for training embodied AI and humanoid systems.
The ecosystem connects four key pillars:
EgoPlay — A gamified platform where users record real-world tasks through smart glasses, earning rewards while contributing egocentric video data.
Orn — A proprietary AI architecture that processes, anonymizes, and converts user submissions into robotics-ready datasets.
Proof of Alignment (PoA) — A consensus framework combining AI evaluation and human oversight to ensure that data labels and annotations meet quality and ethical standards.
VADER Token & EgoPlay Onchain Economy — A reward and governance system that aligns users, developers, and robotics companies through transparent incentives and tokenized participation.
Together, these components form a closed-loop data economy — from collection to validation, from human action to robotic training.
The Vision
We believe that in the coming decade, humanoid robots will become as ubiquitous as smartphones. They will cook, clean, build, drive, care, and serve — but to do these things, they must first learn from us.
VADER’s mission is to accelerate that learning process by crowdsourcing human physical experience at a global scale. Every time a user folds laundry, pours water, or washes dishes through EgoPlay, they contribute a tiny piece of intelligence to the collective dataset that trains future robots.
This data — captured through first-person (egocentric) video — fills the missing gap in robotics: real, diverse, contextual experience from the human perspective. Our vision is to create a decentralized data network where millions of people around the world help teach robots how to act, move, and think — and get rewarded for it.
Building the Foundation of Physical AI
In the same way that text and image datasets powered the rise of ChatGPT and Stable Diffusion, VADER is building the dataset that will power Physical AI — the intelligence that governs robots in the real world.
Through smart glasses, gamified participation, and token-aligned incentives, VADER transforms human labor into digital learning — a scalable, permissionless data engine that continuously improves itself through feedback loops between humans and machines.
Our goal is not just to train robots but to build a shared intelligence layer between humans and machines, where every task, every motion, and every contribution moves the world closer to general-purpose robotics.
The future of AI will not be typed. It will be lived, recorded, and learned — through the collective eyes of humanity.
That is the vision of VADER.
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