Virtual deployment framework

A better way to build, deploy and use models

Why virtual deployments

Models are safely promoted to production in a few minutes, with zero risk, zero coding and no platform-level interventions.

Promote to production with just a few clicks!

Watertight version control is central to trac's auditability and repeatability guarantees.

Everything points to versioned code

Every asset and job is independent so you're not restricted to having just one in-governance version of a model or calculation.

Eliminate EUCs with production analytics

Take a tour

See how the virutal deployment framework works in practice.

Portable models

The trac model runtime

We understand the pain involved in deploying and maintaining models and that’s why we built the trac model runtime. A lightweight, open-source package for building portable, production-strength Python models that can be executed anywhere.

Explore the trac model runtime

Self-descrbing models

Model schemas and the trac model API

Models declare their schema’s (inputs, outputs, parameters) and trac guarantees the model always receives appropriate inputs wherever it runs, taking responsibility for data marshalling out of the model code. Developers can focus on what really matters - building better models.

Learn to build trac models