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Threshold comparison on encrypted integers. Send two encrypted values, get back an encrypted boolean — the server never sees the plaintext. Built on Concrete ML's TFHE scheme.

Homomorphic addition on encrypted integers. Both operands are encrypted client-side — the server computes the sum without ever seeing the values. 100ms latency.

Homomorphic multiplication on encrypted integers. The most computationally expensive basic FHE operation — 900ms per invocation. Used as a building block for encrypted analytics.

Hamming distance computation on encrypted schedule data. Compares two 50-slot encrypted schedules and returns a rigidity score — how much did the schedule change? Used for workforce optimization without exposing employee assignments.

Full time-crystal analysis on encrypted schedule data. Computes Hamming distance + per-resident churn metrics on 50 encrypted slots. The most complex FHE circuit — 5s per invocation. Neither party sees the other's schedule assignments.