DreamVu Blog

Robot Training Data Insights.

A six-part reference series on the companies, methods, and trade-offs in robot training data.

Robot Training Data Companies

Robot Training Data Companies: The 2026 Landscape

Aug 6, 2026

If you were training a robot foundation model, you collected the data yourself. Today there is a real market, and it filled up fast. Most teams evaluating it are working from a picture that is six months out of date.

Read article →
Real vs Simulated Robot Training Data

Real vs Simulated Robot Training Data

Aug 6, 2026

Every robotics team eventually has the same argument. Should you buy real data or generate it in simulation? This article explores which problems simulation solves well, where it falls short, and why understanding the difference matters when training robots.

Read article →
Egocentric Data

Why Egocentric Data Is Not Enough

Aug 6, 2026

Egocentric video became the standard for robot training because it is affordable, easy to scale through people, and closely matches a robot's point of view, making it the preferred choice for collecting training data.

Read article →
Manipulation Is Not the Whole Robot

Manipulation Is Not the Whole Robot

Aug 6, 2026

Most robot training datasets focus on hands and manipulation, creating an important gap that buyers often overlook until it becomes a costly problem.

Read article →
 Industries Has Your Data Vendor

Which Industries Has Your Data Vendor Worked In?

Aug 6, 2026

Many robot data companies claim experience in warehousing, retail, healthcare, manufacturing, and logistics, but few can point to completed capture programs. This post explains how to check those claims.

Read article →
Evaluate a Robot Training Data Vendor

How to Evaluate a Robot Training Data Vendor

Aug 6, 2026

This post brings together the key lessons from the series into a practical list of questions you can use to evaluate a robot training data vendor and assess their capabilities.

Read article →

Tell us what your model needs to learn.

Capture programs, research collaboration, and dataset partnerships.

Talk to us