Illustration representing reliable, repeatable, risk-free processes

Model Risk Manager

Complete clarity and control

Full visibility over production model use and the ability to run MRM analytics on production infrastructure without duplicating data pipelines.

Typical operating reality today

Validation and monitoring use separate tools and environments and rely on manual reconstruction.

Significant effort is spent managing the discrepancies between development, validation and production environments and model documentation.

Intrinsic model assurance.

Validation, monitoring, and oversight run on the same execution as production — using the same model code and data pipelines, with no need to rebuild or emulate.

Model implementation and execution are captured automatically — producing complete, consistent documentation and audit evidence without manual effort or risk of error..

How trac works in practice

Same execution mode as production

Validation, monitoring, and review run on the same execution service as production — using the same model code and data pipelines, with no need to rebuild or emulate.

No model or data reconstruction

Models and data do not need to be extracted or reimplemented in separate tools — eliminating discrepancies between validation and live use.

Automated documentation

Model implementation, execution, and lineage are captured automatically — producing complete, consistent documentation and audit evidence without manual effort.

Reproducible execution

Any calculation can be reproduced exactly — using versioned models and data — ensuring results can be independently verified and defended.

See how a model run is captured and explained

What this means for you

Spend less time reconstructing models, data, and documentary evidence — and more time testing and challenging what’s actually running in production.

See how models are captured and explained

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