TRAC is a model orchestration platform that integrates data management, versioned model code repositories, and production workflows to create a unified environment for banks and financial institutions. It enables the management of complex models and analytics while ensuring compliance through automated governance and audit reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Banks and financial institutions face challenges in managing complex models and analytics across various platforms, leading to data silos and inconsistencies. This fragmented environment hinders efficient model development, deployment, and monitoring, while also increasing the risk of non-compliance with regulatory requirements.
Solution
TRAC offers a model orchestration platform that unifies data management, versioned model code repositories, and production workflows, providing a single ecosystem for managing complex models. The platform integrates with existing data and compute infrastructure, whether cloud-based, on-premise, or hybrid, and supports both production and experimental model runs. TRAC's no-code rule transformation language (RTL) and automated governance documentation simplify model management, while ensuring auditability and repeatability of calculations. By linking every output to precise versions of model code and immutable inputs, TRAC eliminates change risk and facilitates compliance through automated governance and audit reporting.
Target Audience
TRAC is designed for banks and financial institutions that require a robust platform for managing complex models and analytics, ensuring compliance, and driving insights.
Features
- Integrates data management, model code repositories, and production workflows into a unified platform
- Supports both production and experimental model runs
- Offers a no-code RTL for simplified model management
- Provides automated governance documentation
- Ensures auditability by linking outputs to specific model code versions and inputs
- Guarantees repeatability of calculations with a three-click re-run process
- Eliminates change risk by preventing accidental loss or damage to models, data, or processes
- Integrates with existing data management and compute infrastructure (cloud, on-premise, or hybrid)