Build Fair &
Trustworthy AI
Comprehensive AI governance platform with advanced bias detection, security testing, and real-time monitoring. Built for modern ML teams.
Model Fairness Report
Generated in 2.3s
Features
Everything You Need for Responsible AI
Production-ready tools to detect bias, ensure security, and maintain compliance across your AI systems.
Advanced Bias Detection
Comprehensive bias analysis using WEAT, SEAT, StereoSet, and BBQ benchmarks for text and image models.
- • Multiple Fairness Metrics
- • Custom Rules Engine
- • Real-time Analysis
Modern LLM Testing
State-of-the-art bias detection for large language models using industry-standard benchmarks.
- • WEAT & SEAT Tests
- • StereoSet & BBQ
- • Minimal Pairs Analysis
Multimodal Analysis
Comprehensive bias detection across image, audio, video, and cross-modal AI systems.
- • Image & Video Models
- • Audio Analysis
- • Cross-Modal Testing
AI Bill of Materials
Complete transparency with AI BOM tracking, dependency management, and compliance documentation.
- • Component Tracking
- • Dependency Analysis
- • Compliance Reports
OWASP AI Security
Comprehensive security testing based on OWASP AI/LLM framework with automated vulnerability scanning.
- • OWASP Framework
- • Vulnerability Scanning
- • Threat Detection
Real-time Monitoring
Continuous monitoring with automated alerts, performance tracking, and drift detection.
- • Live Dashboards
- • Automated Alerts
- • Performance Tracking
Comparison
How FairMind Compares
See how FairMind stacks up against other AI fairness and monitoring platforms.
| Feature | FairMind | IBM AIF360 | AWS Clarify | Arize AI |
|---|---|---|---|---|
| Bias Detection | Advanced (WEAT, SEAT, BBQ) | Full library | Full library | Full library |
| UI/UX | Modern dashboard | CLI/notebook only | Good | Excellent |
| Multimodal Support | Image, Audio, Video | Limited | Partial | Yes |
| AI BOM Tracking | Full support | None | Basic | Partial |
| Security Testing | OWASP AI framework | None | Basic | Good |
| Real-time Monitoring | Full support | None | Yes | Excellent |
Ready to build responsible AI with production-ready tools?
Get Started on GitHubHow It Works
A Comprehensive 5-Step Process
Ensure your AI systems are fair, transparent, and compliant with our streamlined workflow.
Upload & Validate
Upload your datasets and models. Our system automatically validates data quality, structure, and identifies potential bias sources.
- • Data Quality Assessment
- • Schema Validation
- • Bias Source Identification
Bias Detection
Comprehensive bias analysis using statistical methods, custom rules, and LLM-powered insights to identify fairness issues.
- • Statistical Parity Analysis
- • Custom Fairness Rules
- • LLM-Powered Insights
Explainability
Generate transparent explanations using SHAP, DALEX, and LIME to understand model decisions and feature importance.
- • SHAP Analysis
- • DALEX Explanations
- • Feature Importance
Simulation & Testing
Run bias simulations to test different scenarios, demographic shifts, and deployment impacts before going live.
- • Scenario Modeling
- • Impact Assessment
- • Risk Mitigation
Monitoring & Compliance
Continuous monitoring with real-time alerts, compliance tracking, and automated reporting for regulatory requirements.
- • Real-time Monitoring
- • Compliance Tracking
- • Automated Reporting
Ready to Build Trustworthy AI?
Join organizations using FairMind to ensure their AI systems are fair, transparent, and compliant.