Build faster — with no deployment friction.

With trac, model developers can focus on what matters most: building the best models possible. An intuitive model API, seamless promotion to production, and automated deployment give you the power of modern infrastructure — without the complexity.

A Simple, Intuitive Model API

Take the pain out of data wrangling and validation. With trac, models simply declare their inputs and outputs — the runtime takes care of the rest. Install the trac runtime as a Python package in your notebook or IDE and benefit from full type safety as you build.

Portable Models

With trac, models are portable between development and production. Build and test locally, then import to the platform with just a few clicks — no code changes, and no custom integration needed. In production, models behave exactly as they did in your IDE.

Automated Deployment Documentation

Trac fetches model code from your repo at runtime and auto-generates detailed, governance-ready documentation of how each job was built and parameterised. No more manually documenting each deployment — it's done for you, and always up to date.

Production-Grade MRM Analytics

Validation, monitoring, champion-challenger analysis — trac enables all your MRM analytics to run on production data and infrastructure, with no impact to your in-governance workflows. Eliminate fragile offline workflows and get audit-ready insights, fast.