Privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.
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Updated
Jun 24, 2026 - HTML
Privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.
Turn a survey export into customer segments you can defend — k-means, Gaussian mixture and latent class, with stability-first validation that tells you how much to trust the answer. Runs locally, no expertise needed.
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