NET_STATUS·ONLINE · 2,312 coffee mugs grasped today · 0 dropped
physical_ai / builda7f3c2e·21:22:03UTC
[MISSION] HUMAN DEMONSTRATION DATA FOR PHYSICAL AI

Teach robots_
by just living your life.

We pay people to record first-person video, hand motion, and proprioception data from wearables and phones today — and democratize access to robot teleoperations tomorrow. That data trains the foundation models that move the world's robots.

CAPTUREiPhone · guided
REWARDper verified demo
TAXONOMYA.1 – A.5 · manipulation skills
>1000
HOURS OF DEMONSTRATION DATA
>500
ACTIVE CONTRIBUTORS
20
TASK CATEGORIES
// 02_HOW_IT_WORKS

Three steps to train the next generation.

Pick a task from the taxonomy, film yourself performing it, earn rewards when your demonstration is accepted.

  1. 01

    Pick a Task

    Browse the Deviant task taxonomy in the app — from Pick & Place to Deformable Objects — and choose one that fits the moment you're in.

    A.1 – A.5taxonomyeveryday_tasks
  2. 02

    Record Yourself

    Use the Deviant app to film yourself performing the task. Our guided capture ensures consistent, high-quality training data. Record first-person — from your own point of view, hands in frame. Third-person clips (someone filming you) and clips filmed one-handed while holding the phone earn reduced points — mount your phone so both hands stay on the task.

    iPhoneguided_capturefirst_person
  3. 03

    Earn Rewards

    Accepted demonstrations become part of the Deviant training set. You get rewarded when your clip passes verification.

    per_clipverified
// 03_HARDWARE

Works with what you already have.

We're starting with the device in your pocket. More form factors in the pipeline.

01AVAILABLE
iPhone + head mount

iPhone + head mount

· wide ego view
· guided capture in-app
02COMING SOON
Apple Vision Pro

Apple Vision Pro

· stereo ego · eye gaze
· LIDAR · scene mesh
· persona_replace privacy
03COMING SOON
Ray-Ban Meta / Aria

Ray-Ban Meta / Aria

· mono ego · audio beamform
· 12MP @ 30fps
· best for mobile tasks
04COMING SOON
Manus IMU gloves

Manus IMU gloves (add-on)

· 22 joints per hand
· 120Hz · pairs with any ego_cam
· unlocks dexterous capture
05COMING SOON
Unitree G1 + teleop station

Unitree G1 Teleop Rig

· 23-DOF humanoid · bimanual capture
· suspended gantry · safe teleop sessions
· action-labeled trajectory data
// GET_NOTIFIED

Be first in line.

New devices are being added as the app rolls out. Join the waitlist to hear when yours is supported.

join_waitlist →
// 04_TASK_TAXONOMY

Real tasks. Real complexity.

Our structured taxonomy covers the full spectrum of manipulation skills robots need to master.

A.1

Pick & Place

Grasping objects and placing them precisely — from sorting groceries to organizing shelves. The foundational skill for robotic manipulation.

EXAMPLE TASKS
Sorting items into bins
Stacking objects
Organizing a shelf
Loading a dishwasher
A.2

Interface Manipulation

Operating buttons, switches, touchscreens, and controls. Teaching robots to interact with the interfaces humans designed for humans.

EXAMPLE TASKS
Pressing elevator buttons
Operating a microwave
Using a remote control
Adjusting a thermostat
A.3

Entry & Access

Navigating doors, gates, locks, and physical barriers. Essential for robots that need to move through real-world environments.

EXAMPLE TASKS
Opening doors with handles
Using keys and locks
Sliding doors and gates
Operating latches
A.4

Tool Use

Wielding handheld tools effectively — from kitchen utensils to cleaning equipment. Complex dexterous manipulation in action.

EXAMPLE TASKS
Using a spatula
Sweeping with a broom
Operating a screwdriver
Pouring from a container
A.5

Deformable Objects

Handling soft, flexible, and deformable materials — one of the hardest challenges in robotics. Fabrics, food, cables, and more.

EXAMPLE TASKS
Folding towels and clothes
Handling produce
Managing cables and wires
Wrapping items
// 05_REWARDS

Get paid for the data you generate.

Higher quality and longer videos result in more rewards.

// 06_ROADMAP

Where this is going.

Egocentric capture is Phase 1. The network is built to expand across the full lifecycle of robot foundation model training — and the value of holding a piece of it grows with each stage.

PHASE_01LIVE
EGO_CAM · A.2_wipe_clean

Egocentric Capture

iPhone + head mount. First-person video of household tasks. The modality used to pretrain embodied AI world models — the foundation every robotics foundation model is built on.

PHASE_02COMING SOON
TELEOP · arm_so100

Teleoperation

Remote-control simulated and physical robot arms. Capture action-labeled trajectory data — denser, more structured, and significantly more valuable per minute than passive video. The modality used to fine-tune a pretrained world model into a robot that performs specific tasks reliably.

PHASE_03REDACTED
// classified
█████████████
██████ ████
[ redacted ]

[ to be announced ]

Together, Phases 1 and 2 give Deviant coverage across the entire training pipeline — pretraining and fine-tuning. The dataset becomes the primary input for both stages of robot foundation model development. Holders own a share of an asset whose commercial relevance compounds with every layer the network adds.

// 07_FAQ

Common questions.

What hardware do I need?

Just an iPhone and a head mount. Deviant is designed so you can pull out your phone, pick a task, and record. Refer to our whitepaper for examples of head mounts you can use and best practices for recording.

How does earning work?

You earn rewards for demonstrations that pass verification — the higher the quality, the larger the rewards. Exact amounts, tiers, and payout methods are subject to change.

Where can I read more?

whitepaper.deviantrobotics.xyz

What will the recordings be used for?

Data collected is used to train cutting edge foundation models with partners like research groups, robotics labs, industry leaders and more.

What kind of tasks can I record?

There are currently five task categories: Pick & Place, Interface Manipulation, Entry & Access, Tool Use, and Deformable Objects. Each category covers common everyday skills — see the tasks section above for examples. More tasks will be added on an ongoing basis based on demand from our partners.

The robots are coming.
They should be trained on
your best days,
not scraped from
the worst of the internet.

Download on iOS