Product Summary

Overview

audit-AI is a SaaS platform that provides fairness-aware machine learning algorithms designed to help organizations build and deploy ML models with built-in fairness considerations. The tool addresses the growing need for responsible AI by integrating fairness principles directly into the machine learning development process.

Key Features

Traceability The platform offers comprehensive traceability capabilities that allow users to track and document how ML models make decisions. This transparency is essential for understanding model behavior, debugging issues, and demonstrating accountability to stakeholders and regulators.

Data Governance audit-AI includes robust data governance features that help organizations manage, monitor, and control their data throughout the ML pipeline. This ensures data quality, compliance, and proper handling of sensitive information used in model training and inference.

Use Cases

audit-AI is particularly valuable for organizations that need to:

• Develop machine learning models that meet fairness and ethical standards
• Demonstrate compliance with regulatory requirements around AI transparency and bias mitigation
• Audit existing ML systems for potential fairness issues
• Document and justify model decisions for stakeholder reporting
• Implement governance frameworks around data and algorithm usage
• Build trust with customers and regulators through transparent, fair AI practices

Pricing & Access

audit-AI operates on a freemium model, making it accessible to organizations of all sizes:

• Free tier: Available for users wanting to explore the platform's core capabilities
• Paid subscription: $18/month for enhanced features and expanded access

This pricing structure allows teams to start with the free version and upgrade as their needs grow.

Who Is It For?