Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →PrismaX operates a robotics platform where human operators remotely control robots to complete real-world tasks while the platform captures the resulting visual and action data for training physical-AI models. Its “VLA Foundry” lets contributors score and verify robot training data. The company raised an $11M seed round led by Andreessen Horowitz’s CSX fund, with participation from Volt Capital and Virtuals, and emerged from stealth in mid-2025.
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