The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.
Funding
$125K 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
Enterprises face challenges in governing AI systems, including ensuring compliance with evolving regulations, managing risks associated with model bias and security, and maintaining transparency and explainability. These challenges hinder the confident and accountable deployment of AI.
Solution
The platform centralizes AI governance, offering automated model testing and continuous compliance monitoring. It streamlines AI assurance collaboration, enhances efficiency, and provides clear risk visibility through rigorous model testing for safety and quality. The platform enables organizations to efficiently manage model risks and workflows with centralized governance, ensuring fair, robust, and secure models through automated assessments. By enhancing model explainability and providing algorithmic recourse, it builds trust in AI systems.
Target Audience
The platform is designed for enterprises across various industries that are developing, deploying, and managing AI systems and need to ensure compliance, manage risks, and maintain transparency.
Features
- Automated model testing for fairness, robustness, and security
- Risk management tools for efficient workflow management and centralized governance
- Regulatory compliance monitoring and evidence collection
- Explainability and algorithmic recourse features for clear model insights
- Model registry for comprehensive model oversight
- Interactive debugging tools for identifying and resolving model issues
- Customizable platform to fit specific organizational needs