Complete Clarity and Control.

Trac eliminates ambiguity by standardising deployment documentation and linking every result to versioned code and parameters. MRM teams can run analytics using production infrastructure — without duplicating data or building shadow environments.

Error-Free Deployment Documentation

Trac builds model deployment documentation automatically, based on how the code was promoted, parameterised, and executed — delivering consistent, governance-ready records with no manual effort and no risk of omission, error, or divergence.

Full Transparency Over Model Use

TRAC gives you full visibility into how models are actually used, with end-to-end lineage linking every reported output back to immutable, versioned code and parameters — eliminating the risk of discrepancies between what was approved in committee and what was run in production.

Production-Grade Monitoring and Validation

Validation, monitoring, and champion-challenger analysis — trac allows MRM analytics to run safely on production-grade data and infrastructure, eliminating drift between test and production setups and removing the need to maintain parallel environments for MRM analytics.

Simplify Data Replication

Trac guarantees that any execution process — including model input derivations — can be fully reproduced on demand. This removes the need for full-scale data replication and ensures that reviews, validations, and audits reflect exactly what ran in production.