New product ·
Stateam introduces Parity for verified clinical analytics and legacy modernization
Parity converts legacy statistical programs and COBOL to R and Python, and proves every regenerated output against the original cell for cell, with a tamper-evident audit trail behind every number.
Stateam LLC has introduced Parity, the evidence layer for clinical and legacy analytics. Migrations off legacy platforms rarely stall on translating code; they stall on proving that the new code produces the same numbers. Parity is built around that proof.
Every conversion produces R and Python implementations, compares each regenerated table with the original cell by cell at zero tolerance by default, and classifies every difference. Nothing is signed off while a blocking difference remains, and every output carries a record of its inputs, software environment and fingerprint, so a file edited after the fact is detected.
Parity also covers reproducible analysis, per-project environment locking, systematic literature search with meta-analysis, and a deterministic quality gate. It runs fully offline, including on air-gapped networks, and is designed to be validated through IQ, OQ and PQ.
Organisations can start with a one-table pilot: pick a table already signed off, and review the full evidence pack before deciding on a wider programme.