Building the data backbone for Physical AI.
We build large-scale egocentric, multimodal datasets that power robotics, wearable AI, and embodied intelligence — fast, secure, and at scale.
The Problem
AI is blind to the physical world
Current AI models understand text and images but fail at real-world task execution. Contextual reasoning in physical environments remains largely unsolved.
No structured data pipeline exists
Long-horizon physical manipulation lacks training data at scale. There is no structured egocentric data pipeline for embodied AI research and deployment.
The missing data layer
Just as internet-scale text enabled LLMs, real-world egocentric data will unlock general-purpose robotics, autonomous systems, and intelligent wearables.
Our Approach
From real world to AI-ready data.
Capture
Egocentric Data Collection
First-person video, audio & sensor capture at petabyte scale. 4K/60fps, 360° FOV, multi-camera, long-duration recording sessions.
Process
Multimodal Alignment
Synchronized video, audio, depth & sensor data unified in one pipeline. Spatial audio, LiDAR, IMU, and environmental sensors.
Annotate
Structured Task Labels
Hierarchical labels, long-horizon tasks, action segmentation, and intent classification. Hand-object interaction tracking and grasp analysis.
Deliver
Secure Infrastructure
End-to-end encryption, GDPR compliance, granular access controls, and audit logging. Petabyte-scale storage with distributed processing.
Our Solutions
Data infrastructure for the physical world.
Egocentric Video Capture
First-person video and sensor data collection at scale, designed for robotics research, wearable AI, and embodied intelligence applications.
Multimodal Datasets
Synchronized multi-stream datasets combining video, audio, depth, IMU, and environmental sensors in unified, research-ready formats.
Precision Annotation
Structured task-level annotations for hand-object interactions, action recognition, scene segmentation, and spatial understanding.
Careers
Build the future with us.
ML / Computer Vision Engineer
EngineeringIndia · Remote
Work on perception systems, annotation pipelines, and data quality infrastructure for Physical AI.
Data Infrastructure Engineer
EngineeringIndia · Remote
Build petabyte-scale data pipelines, storage systems, and delivery infrastructure for egocentric datasets.
Robotics Data Specialist
ResearchIndia · Remote
Design and execute egocentric data collection protocols for manipulation, navigation, and human-robot interaction.
Annotation Systems Lead
OperationsIndia · Remote
Lead annotation quality, build tooling, and scale our global annotation workforce for structured task labeling.
Don't see your role? Send us an open application →
Partnerships
Become an early partner.
The ChatGPT moment for robotics is near. Join us in building the data infrastructure that will power the next wave of intelligent machines.