Posts
What shipped, and why.
Release notes and engineering write-ups from the team building the pipeline.
NewBenchmark
Rigyd assets at training scale: 8,192 environments on one GPU
“When you can measure what you are speaking about, and express it in numbers, you know something about it.”William Thomson, Lord Kelvin
A question robotics teams ask before trusting a third-party asset: how does it behave when a training run copies its scene thousands of times onto one GPU? This post answers with numbers instead of a claim.
2026-09-29
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Engineering
Why we rebuilt Rigyd around an agent that reasons first
“Nobody ever figures out what life is all about, and it doesn’t matter. Explore the world. Nearly everything is really interesting if you go into it deeply enough.”Richard P. Feynman
We are robot learning and spatial computing engineers who spent seven years building 3D products together. We trained pipelines for AI-based asset creation, fine-tuning large models on proprietary data to cut hallucinations and produce the most realistic results for specific use cases.
2026-08-21
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