๐Ÿค– Now accepting Research Sponsor applications

The Infrastructure for the Era of Intelligence

DataLoop combines specialized human annotators with AI-assisted quality control to deliver labeled robotics datasets at scale.

60-70%

Lower cost than US/EU

6+

Data modalities

100+

Scalable workforce

The Problem

High-Quality Robotics Data Is Hard to Get

Bad labels cause robots to fail โ€” like missing a grasp or colliding with obstacles. Building in-house labeling teams is expensive and doesn't scale.

๐Ÿ”„

Temporal Consistency

Sequential frames and point clouds must maintain labels across time โ€” one missed frame breaks the whole sequence.

๐Ÿ“

3D Spatial Understanding

Occlusions, depth perception, and multi-sensor fusion require specialized annotation skills most labelers don't have.

โš ๏ธ

Safety-Critical Precision

In production robotics, annotation mistakes don't just hurt metrics โ€” they cause collisions, drops, and failures.

Our Solution

A Unified Infrastructure for Robotics Data

Custom workflows, robotics-specialized workforce, and AI-assisted quality control โ€” built for the complexity of robot learning.

๐Ÿง 

Custom Workflows

3D bounding boxes, video sequences, LiDAR point clouds, grasp points, trajectories, and temporal tracking โ€” all natively supported.

๐Ÿค–

Robotics-Specialized Workforce

Trained labelers who understand manipulation, perception, and safety requirements. Not generic crowd-sourcing.

How It Works

From Raw Data to Production-Ready Datasets

1

Upload

Multi-camera video, LiDAR point clouds, sensor streams

2

Annotate

3D bounding boxes, object tracking, grasp points, trajectories

3

Verify

Temporal consistency checks, multi-pass human QA, LLM-assisted validation

4

Deliver

ROS-compatible datasets with confidence scores and metadata

30-40%

Cost savings vs US/EU

6+

Sensor modalities

60-70%

Gross margins

10โ†’100+

Rapid workforce scaling

Our Advantage

Silicon Valley Quality, Asia Efficiency

Based in Singapore with operations across Southeast Asia, we deliver world-class results at a fraction of the cost.

๐Ÿ’ฐ

Cost Advantage

60-70% lower labor costs than US/EU. Our annotators deliver at $8-15/hour vs. $25-45/hour in the US.

๐ŸŽ“

Technical Talent

Singapore robotics research hub (NTU, NUS). Strong STEM workforce with English proficiency for direct collaboration.

๐ŸŒ

Operational Benefits

Time zone coverage for faster turnaround. Rapid scaling from 10 to 100+ annotators. Singapore base for operations.

Ready to Scale Your Robotics Data?

Join leading robotics labs who trust DataLoop for production-quality labeled datasets.