The startup provides a software platform for financial institutions that utilizes artificial intelligence to automate inventory management, data processing, and the generation of regulatory-compliant documentation. This technology enhances operational efficiency and lowers costs by continuously monitoring data changes and performance metrics.
Funding
$12.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions face challenges in managing the lifecycle of complex models and algorithms, especially with the increasing use of AI. These challenges include ensuring accuracy, maintaining regulatory compliance, and efficiently documenting and validating models. Fragmented data ownership and outdated systems further complicate model risk management (MRM) processes.
Solution
Yields provides a Model Risk Management (MRM) Suite that enables financial institutions to oversee, test, and document their models at scale. The platform offers a modular architecture and integrates with existing technologies, such as MLflow and Databricks Unity Catalog, to streamline the model lifecycle. It features a configurable workflow engine that guides teams through AI lifecycle stages, automates workloads, and builds audit trails. Yields also offers role-based access control, ensuring secure and collaborative management of model risk across different teams and locations.
Target Audience
The primary target audience includes financial institutions, regional banks, and organizations that utilize complex analytics in high-risk environments, as well as data science and AI governance teams.
Features
- Dynamic model inventory for managing metadata and tracking model updates
- Configurable workflow engine for guiding teams through the AI lifecycle and automating tasks
- Customizable computation infrastructure for quantifying model performance
- Automated generation of model documentation and monitoring reports
- Integration with existing AI toolsets via APIs and client SDKs
- Compliant configurations for EU AI Act, NIST AI RMF, Colorado SB21-169, and NYC Local Law No. 144
- Centralized platform for enhanced collaboration and communication across teams
- Full audit trail for regulatory compliance and reviews