THE FOUNDATION FOR EMBODIED AI

Real-world data.
Extraordinary
intelligence.

The next leap in AI starts with the world around us. Give your models the human perspective, precise actions, and real-world experience they need to move forward.

+ FROM HUMAN EXPERIENCE TO MACHINE CAPABILITY
HUMAN PERSPECTIVE / ROBOT ACTION / INTELLIGENT SYSTEMSDiscover what’s possible ↓
REAL EXPERIENCE.
AT MEANINGFUL SCALE.
120k+

Hours of ego & G1/G2 robot data

10k+

Bimanual UMI episodes

08

Specialist dataset collections

01 / THE ACTIONABLE ADVANTAGE

Intelligence needs
experience.

Models learn the world through data. We help you find the right perspective, the right actions, and the right context to turn that learning into capability.

01

See through human eyes.

First-person video that captures how people navigate spaces, handle objects, and complete real tasks.

Explore egocentric data ↗
02

Connect vision to action.

Bimanual demonstrations pair visual observations with gripper pose and action for manipulation learning.

Explore UMI demonstrations ↗
03

Learn from real robots.

Multi-view recordings, state, and action data from physical robots performing everyday manipulation.

Explore robot datasets ↗
02 / THE DATA CATALOGUE

Your next breakthrough
starts here.

Explore eight collections across human observation and robot action. Find the data that fits your model, your task, and your ambition.

8 collections to exploreSelect up to 3 datasets to compare
Stereo Ego · 1080p: representative capture from a real demonstrationEGOCENTRIC / STEREOAA / E01

Stereo Ego · 1080p

Human perspective, captured in stereo with audio and motion sensing.

3,400 hours
Dual 1080p30 fpsMCAP
Stereo Ego · Wide-view: representative capture from a real demonstrationEGOCENTRIC / STEREOAA / E02

Stereo Ego · Wide-view

A wider perspective on complete manufacturing and craft workflows.

63,060 hours
190° field of view30 fpsMCAP
Monocular Ego · Android: representative capture from a real demonstrationEGOCENTRIC / MONOCULARAA / E03

Monocular Ego · Android

Everyday skills and workplace tasks, seen from a human point of view.

32,884 hours
1080p + portrait30 fpsMP4
Monocular Ego · iPhone: representative capture from a real demonstrationEGOCENTRIC / MONOCULARAA / E04

Monocular Ego · iPhone

Continuous first-person recordings that follow activities from start to finish.

9,832 hours
Up to 60 fpsMP4 / MOVContinuous tasks
Bimanual UMI: representative capture from a real demonstrationMANIPULATION / UMIAA / U01

Bimanual UMI

Connect human demonstrations to precise gripper movement and action.

10,000+ episodes
3 camera views60 Hz actions6DoF pose
Real Robot · G1 / G2: representative capture from a real demonstrationROBOT / MULTI-VIEWAA / R01

Real Robot · G1 / G2

Whole-body and dual-arm experience from robots in real environments.

12,000 hours
8–9 camerasLeRobot v3.0State + action
Galbot Robot Data: representative capture from a real demonstrationROBOT / MANIPULATIONAA / R02

Galbot Robot Data

Multi-view robot demonstrations across household manipulation tasks.

14,997.91 QC-passed hours
4 RGB views30 fpsMCAP
Long-Horizon Robot Data: representative capture from a real demonstrationROBOT / MULTI-STEPAA / R03

Long-Horizon Robot Data

Multi-step, bimanual demonstrations for learning sequences of action.

Let’s scope your project
RGB + depth250 Hz arm actionsJSONL
PURPOSE-BUILT FOR YOUR MODEL

Some breakthroughs
need a different
kind of data.

Let’s build a collection around your tasks, your environment, and your ambitions.

Scope your dataset ↗YOUR NEXT MOVE STARTS HERE.

Your task. Your environment. Your dataset.

Need a specific scene, skill, or capture setup? Let’s scope a custom collection.

Discuss custom data ↗
03 / BUILT FOR WHAT’S NEXT

From observing the world
to acting in it.

Different models. Different challenges.
A common need for meaningful real-world experience.

/ 01

Vision & world models

Rich first-person context for visual understanding, activity recognition, and learning how the physical world changes.

Egocentric videoScene diversity
/ 02

Robot learning & VLA

Visual observations paired with movement and action, for imitation learning and vision-language-action research.

UMI demonstrationsRobot action
/ 03

Long-horizon skills

Multi-step demonstrations for studying task planning, bimanual coordination, and sequences of real-world actions.

Multi-step tasksBimanual skills
04 / FROM EXPLORATION TO EXECUTION

A clear path to
the right data.

Start a conversation ↗
01

Tell us what you’re building.

Share your model, target tasks, and data requirements. We’ll help define the collection that fits.

02

Evaluate the fit.

Review sample access, capture specifications, annotation, and package structure with our team.

03

Move forward with clarity.

Agree the scope, licensing, and delivery plan. Start with existing inventory or build a custom collection.

LET’S MAKE IT ACTIONABLE

Big ambitions.
Meet real-world
data.

Tell us what you’re building. We’ll help you find the data to take it further.

info@actionable.ai ↗
Based in Singapore. Built for what’s next.
68 Circular Road #02-01
049422, Singapore

Let’s talk about your project.

A few details are all we need to get started.

FIND YOUR FIT

The details, side by side.

YOUR INFORMATION

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