Dashboard
Overall System Bias
Datasets Analyzed
JDs Scanned (30d)
Quick Actions
New Dataset Analysis
Upload a CSV to evaluate model fairness metrics.
Scan Job Description
Detect hidden bias in your hiring material.
Simulate Counterfactuals
Test individual profiles against decision models.
1. Upload Dataset
Upload a structured CSV file to detect bias and measure fairness metrics.
Drag & Drop your CSV file here
or click to browse (Simulated)
Job Description Scanner
Paste job description text to identify and rewrite exclusionary or biased language.
Scan Summary
Bias Score
Awaiting Scan- Gender Bias: 0
- Age Bias: 0
- Disability Bias: 0
- Religion Bias: 0
- Family Status Bias: 0
- Physical Bias: 0
- Socio-Economic Bias: 0
- Cultural Bias: 0
- Health Bias: 0
- Caste Bias: 0
- Appearance Bias: 0
Individual Bias Simulator
Enter an individual profile to see how a model's prediction changes through counterfactual analysis (changing a single sensitive attribute).
Profile Details
Results will appear here
Changing the profile's gender from Female to Male while keeping all other qualifications identical resulted in a +44% increase in approval probability.
AI Personalized Explanation
Run simulation to view AI analysis...
The "What-If" Matrix
Holding Experience and Education constant, here is how the algorithmic probability shifts across all demographic combinations for this exact candidate: