Blog
Insights on AI training data, robotics, evaluation, and building better AI.
Why Egocentric Video Is the Future of Robot Learning
One hour of first-person human video can be worth ten of teleoperation — and in 2026 a pair of glasses is out-scaling the robot fleets. Here's the evidence, the dataset stack behind it, and what separates data that transfers from data that quietly poisons a policy.
Read moreWhy Data Quality Beats Data Quantity in AI Training
Lessons from 250+ AI training projects on why fewer, higher-quality examples consistently outperform massive low-quality datasets.
A Practical Guide to Motion Capture for Robot Training
Comparing optical, inertial, and vision-based motion capture systems for producing robot training data at scale.
Scaling Data Annotation from 1K to 100K Without Losing Quality
The operational playbook for scaling AI training data production while maintaining annotation quality and consistency.
Security Considerations for AI Training Data Pipelines
How to protect sensitive training data, maintain data isolation, and meet enterprise security requirements in AI data operations.
The Unique Challenges of Medical AI Training Data
Why medical AI requires specialized annotators, stricter quality control, and domain-specific workflows compared to general AI training.
How Agentic AI Workflows Transform Data Operations
Using AI agents to automate quality control, delivery, and monitoring in AI training data pipelines.
19 articles