Typical operating reality today

Production platforms are tightly controlled and sensitive to change. Most analytics happens in offline tools using separate implementations of the models and data pipelines.

trac enanbles all anlaytics to run on the same immutable data and model code.

Everything is a model

A single execution framework

Use trac to define and run any analytics process — from production model runs to data quality, monitoring, validation and exploratory analysis — on a single, consistent execution framework.

All analytics runs on the same immutable models and data — ensuring consistency and eliminating the need to maintain parallel deployments.

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

See Finnovate demo

Iterative analytics

Any prior result is a starting point for experimentation

Load any prior calculation, adjust inputs, parameters, or model versions and re-submit — a simple, intuitive mechanism for sensitivity analysis, scenario testing, and challenger models

Fast, controlled iteration without manual reconstruction.

Download the free desktop version and start exploring today.

Try Community Desktop

Democratising access

Enabling safe self-service with trac's intrinsic governance

All models and data are immutable and every calculation is independent, documented and repeatable, so there is zero risk of accidental damage to deployed models, data, or execution processes.

This enables a wider range of self-service with zero change risk.

What this means

Faster, more reliable, more powerful analytics.

A simplified estate with less reliance on EUCs and offline tools.

Fewer bottlenecks and less reliance on model developers or platform teams.

See how in-situ analyitcs would work for

Understand how to run analytics directly on your production models and data using your existing stack.