Controlled analytics for regulated environments

Auditable, repeatable, self-documenting calculations across your existing analytics stack.

Modern stacks solve for speed and scale.
They don't solve for compliance control.

Banks are replacing legacy platforms with cloud and open tooling. But regulated analytics still depend on fragmented environment, manual controls, documentation, and offline reconstruction.

Modern technology doesn't remove the operating burden — it recreates it..

Stronger Controls

Auditable, repeatable calculations

  • Complete lineage from inputs to outputs
  • Fully reproducible historical calculations
  • Controlled versioning of models and data
  • Auditable change and execution history

Richer Analytics

Explore and compare results safely

  • Safe experimentation on production data
  • Analyse and explore any prior result
  • Faster sensitivity and scenario analysis
  • Unlock the full power of your infrastructure

Lower Operating Cost

Eliminate manual governance steps

  • Simpler deployment and route-to-live
  • Automated documentation and evidence gathering
  • Reduced spreadsheet and EUC reliance
  • More self-service analytics

Modernising regulated analytics

trac works with your existing anlaytics stack to deliver stronger controls, richer analytics, and lower operational cost

Used across regulated analytics workflows
Model execution • Scenario analysis • Model risk management • Data pipelines

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What trac is

A governed execution layer for your existing stack

Connect your data and compute infrastructure, code repositories and developer tools with trac, to create a controlled environment for building, deploying and running models.

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Powered by a new execution model called ‘Calculation-as-Contract’ — on trac every calculation is auditable, repeatable and self-documenting.

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Where trac adds value

Where governed execution matters most

For your most critical and highly governed analytics — including capital, liquidity and provisioning — trac ensures that every calculation is auditable, repeatable and self-documenting.

Combining the flexibility of a desktop tool with the control of an enterprise platform, TRAC allows you to recreate any prior run, vary assumptions and compare outcomes safely and quickly.

From ongoing model monitoring to independent validation, trac lets you manage libraries of statistical tests alongside model assets and run them safely against production models and data.

Immutable data management and on-demand recreation of historical transformations for lineage-heavy reporting, BCBS239 workflows and analytics assurance.

Built in Tier-1 banking environments | Open-sourced via FINOS | Adopted by global systemically important banks

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News and views

Some of our latest thoughts and announcements