The modern model platform
Stronger controls, richer analytics, and lower cost across the model lifecycle with trac – a new approach to highly regulated analytics.
Book a demoWhy choose trac
Modernising structural analytics
When control and auditability are non-negotiable - trac delivers stronger controls, richer analytics and lower cost across the model lifecyle
Build portable Python models and use the same versioned code in multiple environments - no modification or complex deployment steps.
Build once – run anywhere!
Systemised version history, automated documentation, and a unique repeatability guarantee - the most robust control environment possible.
Auditable, repeatable, risk-free!
All your analytics in a single place using common assets - from experimental model runs to PMAs, model monitoring and validation.
No more EUCs or offline emulators!
On your desktop, cloud, or on-premises - trac integrates your modelling tools to create a unified ecosystem for regulated analytics.
Orchestrating existing technology.
Across the model lifecycle
A solution for all stakeholders
A complete ModelOps solution for highly regulated analytics - trac provides modern tooling for all stakeholders across the three lines of defense
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MODEL DEVELOPER
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MODEL OWNER
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MODEL RISK MANAGER
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INTERNAL AUDITOR
With portable models and the flexibility to use production tools for model proving and analysis I can focus on what matters - building better models.
ExploreBuilt for self-service
Democratising model use
The unique control environment empowers model owners and model users to self-serve, free of change risk — manual controls and traditional access restrictions cease to be the bottleneck.
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Our philosophy
Built on open-source foundations
We publish trac's core analytic services as an open-source project (TRAC D.A.P.) via FINOS. The trac model runtime is also available to download from pypi.org.
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