Insights
Notes from the data gap.
How we think about digital twins, synthetic data, and building AI that survives contact with reality.
Categories
Articles
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How to interrogate a digital twin, ours included
The questions that separate a validated twin from a merely confident one, and the check our engine is built to fail.
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Physics-anchored vs black-box AI twins
Why a twin that only recognises patterns will guess, and guess wrong exactly where it matters.
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The data gap is biotech’s real bottleneck
It’s not your vision or your algorithms. It’s the data, and there are only two honest ways to close the gap.
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Microgravity research without a flight mission
Flight missions are rare, expensive and high-risk. How far can ground-based simulation take you, and where can’t it go?
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Synthetic data for compliant ML
Training medtech and healthcare models when the real data is locked behind privacy law, honestly.
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