Shrink data with zero loss. Store it, move it, and even run AI inference while it stays compressed. When you need the original, you get it back bit-for-bit. Every decode is verified, and each package verifies itself, so integrity is proven on every read.
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‍How it works. Like a hologram, we encode information into a structured pattern that is reversible by design. No guessing, no models, no approximations. We remove redundancy while keeping everything needed to rebuild the exact original.
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‍What it is not. It is not a learning-based compressor that “recreates” content from a giant model, and it is not a perceptual codec that hides losses. Fidelity is never dropped, so the original always returns exactly.
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‍Why it matters. Smaller objects mean faster syncs and cheaper diffs. Built-in tolerance to noise and media decay (see noise-tolerance page) lets you keep fewer replicas with lower risk. Backups run lighter, archives are smaller and need fewer rewrites, which cuts compute, labor, and media wear. For long-term retention, packages can be made self-extracting for far-future recovery, and the format handles bit-rot and incidental corruption far better than raw files.