The Modern Model Platform.

Stronger controls, richer analytics, and lower cost across the model lifecycle with trac – the modern platform for structural analytics.

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TRANSFORMING STRUCTURAL ANALYTICS

Designed for complex models and calculation that need to run in robust, controlled, and auditable environments, including those which inform accounting, regulatory calculations, and disclosures — we call this 'structural analytics'

SIMPLE SECURE MODEL DEPLOYMENT

Build models that deploy to production simply with no code modification

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AUDITABLE, REPEATABLE CALCULATIONS

Systemic versioning, lineage, and a unique repeatability guarantee

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AUTOMATED GOVERNANCE DOCUMENTATION

Governance-ready documentation with no manual input needed

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BUILT-IN TOOLS FOR EXPERIMENTAL ANALYTICS

Powerful tools to explore and explain model outputs and performance

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SIMPLIFYING THE MODEL LIFECYCLE

An integrated solution that simplifies workflows and automated controls - across the entire model lifecycle

MODEL DEVELOPER

MODEL OWNER

MODEL RISK MANAGER

INTERNAL AUDITOR

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MODERN DATA & ANALYTICS TECHNOLOGY

Get the best out of your data science tooling with trac - the modern platform for structural analytics

FLEXIBLE DEPLOYMENT OPTIONS

Deployed to your existing data and compute infrastructure, which can be cloud, on-premises, or hybrid — trac integrates with common version control systems and model development tools, providing a unified orchestration framework across those technologies.

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BUILT FOR SELF-SERVICE

Tbe controlled route to live and trac’s unique guarantee empowers model owners and model users to self-serve in a safe environment, free of change risk — infrastructure teams don't need to be a bottleneck for deploying and managing business assets.

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OPEN-SOURCE AND SUPPORTED VERSIONS

Available as a supported enterprise platform, a free desktop deployment, or an open-source project — whether you're looking to explore the pattern, support a single use-case, or modernise your enterprise approach to ModelOps, there's a trac package for you.

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