Embodied AI Data Solutions

Powering the Next Generation of Embodied Intelligence

High-fidelity, real-world computer vision datasets for training next-generation robotics, autonomous systems, and intelligent agents. We deliver synchronized, multi-modal data capturing complex spatial interactions and critical edge cases.

9,200+

Hours of Video Data

16+

Sub-Scenarios

4

Real-World Environments

Sensors Active
24 / 24
Sync Accuracy
99.8%
Frames / Sec
60 FPS
Edge Cases
1,247
RGB Video
Ego View
Exo View
Audio
IMU
Human Actions
Raw DataMulti-Sensor
FusionAligned
OutputModel-Ready

Bridging the Gap Between Simulation and Reality

Embodied AI represents the frontier of artificial intelligence, where agents don't just process information but physically interact with their environment. From humanoid robots to autonomous vehicles, these systems require training data that captures the full complexity of the real world.

At Datum AI, we specialize in collecting and curating the high-fidelity, multi-modal datasets that make this possible. Our data pipelines capture authentic human activity, object interaction, and environmental dynamics across diverse real-world settings.

Multi-Modal Sensor Fusion
Edge Case Coverage
Privacy-First Design
Scalable Pipelines

Two Complementary Approaches for Embodied AI Training

From first-person robotic vision to synchronized multi-sensor fusion, our datasets are structured to accelerate training for the most demanding AI models.

Ego-Centric Dataset First-Person View

Ego-Centric Dataset

First-Person Human Activity

A first-person human activity dataset collected using head-mounted cameras across multiple real-world environments. It is intended for training perception, manipulation, and embodied AI models.

Dataset Type
First-Person / Egocentric Video
Data Volume
9,200+ Hours
Capture Method
Head-mounted Camera
Scene Categories
4 Scenes / 16+ Sub-scenarios
Focus
Human Activities & Interactions
Applications
Perception, Manipulation, Embodied AI
Home
Office
Commercial
Industrial
  • First-person daily activities
  • Human-object interactions
  • Natural environment understanding
  • Manipulation-related actions
Ego-Exo Dataset Multi-View Synchronized

Ego-Exo Dataset

Multi-View Synchronized Video

A synchronized multi-view dataset combining first-person and third-person perspectives. It captures both detailed hand-object interactions and full-body context, making it useful for action understanding and robot learning.

Dataset Type
Multi-view Synchronized Video
Camera Setup
1 Ego + 2 Exo Cameras
Synchronization
Timestamp QR Code Alignment
Temporal Precision
Millisecond-Level
Focus
Action Understanding & Manipulation
Applications
VLA Models, Robot Learning
First-person Viewpoint
Third-person Spatial
Fine-grained Manipulation
Human-object Interactions
Full-body Motion Data
Multi-modal Fusion
  • Synchronized ego and exo perspectives for cross-view robot learning
  • Millisecond-level sensor alignment across modalities
  • Fine manipulation and dynamic interaction capture
  • Full-body human motion and spatial mapping
These Datasets Are Positioned For
Humanoid Robots
Robot Manipulation
AI Agents
Smart Home Systems
Healthcare Robotics

From Capture to Model-Ready Data

A rigorous, end-to-end pipeline that transforms raw sensor data into production-ready training assets.

1

Multi-Sensor Capture

RGB, LiDAR, IMU, and depth sensors deployed across diverse environments

2

Temporal Sync

Hardware-triggered alignment with millisecond precision across all modalities

3

Expert Annotation

3D bounding boxes, segmentation, pose estimation, and action labels

4

Quality Assurance

Multi-stage validation ensuring 99.7% annotation accuracy

5

Model Delivery

Optimized formats for PyTorch, TensorFlow, and custom pipelines

Where Our Data Drives Real-World Impact

Our embodied AI datasets power breakthroughs across industries that demand spatial intelligence.

Autonomous Vehicles

Training robust perception for complex driving scenarios with ADAS-ready multi-modal data.

Humanoid Robotics

Enabling natural navigation, object manipulation, and human-robot interaction.

Smart Surveillance

Building context-aware, privacy-compliant monitoring systems with spatial AI.

Industrial Automation

Optimizing robotic workflows in dynamic factory and warehouse environments.

Five Reasons to Trust Our Vision Data Pipelines

We combine deep domain expertise with scalable infrastructure to deliver datasets that accelerate your AI development.

01

Real-World Spatial Context

We capture authentic human activity, object interaction, and environmental dynamics across urban, industrial, retail, and residential settings.

02

Multi-Modal Sensor Fusion

Our datasets combine ego-centric video, exo-centric views, LiDAR, and radar with precise timestamp alignment for comprehensive understanding.

03

Autonomous-Ready Design

Every dataset is structured to accelerate training for robotic manipulation, navigation, and Vision Language Action models.

04

Scalable Edge Cases

From routine scenarios to rare, high-value edge cases, we scale data collection to meet the rigorous demands of real-world AI deployment.

05

Privacy-First Governance

Strict compliance with global data privacy standards, informed consent, and robust anonymization for commercial-grade use.

06

End-to-End Expertise

From sensor selection to model delivery, our team provides comprehensive support at every stage of your data pipeline.

Ready to Bridge the Gap Between Simulation and Reality?

Accelerate your embodied AI training with high-fidelity, real-world vision data tailored to your model's needs. Let's build the future together.