The AI Data Lab for the Real World
We build
We build high-quality, real-world datasets that help machines understand complex environments like construction, manufacturing, and industrial sites.
From capture to annotation, our mission is simple: make real data accessible, clean, and ready to train.
People
Our team combines data engineers, field operators, and annotation experts who work directly on-site. We believe that AI starts with human expertise - every frame we annotate reflects precision and care.
Purpose
We exist to bridge the gap between real-world complexity and machine understanding. Our work supports safer, smarter, and more reliable AI systems for robotics, automation, and industrial intelligence.
Process
We capture, annotate, and verify every dataset with both AI-assisted tools and human validation. Our pipeline scales fast while maintaining human-level accuracy.
From Field to Dataset
Every project starts on the ground, literally. Our operators record real POV footage from active worksites using professional cameras and drones.
Once captured, the data passes through our annotation pipeline for bounding boxes, segmentation masks, and pose tracking.
The final output is fully anonymized, quality-checked, and ready for machine learning applications.
By turning real-world footage into structured training data, we help robotics and AI systems operate safely around people, tools, and complex environments.
Trusted by Innovators
We collaborate with AI labs, robotics startups, and research centers that share our vision for ethical, scalable, and real-world AI development.
