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Detect Bias
Before AI Decides.
Every biased dataset hides real human cost — unfair loans, ignored résumés, denied care.
EquiVision audits your AI before it impacts real lives.
78%
of hiring AIs show measurable gender bias
3×
higher loan rejection for minority applicants
1 tool
to detect, understand & fix it
Start Auditing
Step 01 — Upload
Upload Your Dataset
Drop a CSV file containing your AI training or decision data. EquiVision will find fairness issues instantly.
Drag & drop your CSV file here
or click to browse — supports .csv files up to 50MB
Step 02 — Audit Results
Fairness Report
Here's what EquiVision found in your dataset. Results are color-coded for instant clarity.
⚠
Bias Detected in Dataset
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Success / Positive Outcome
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Success / Positive Outcome
Step 03 — Visual Analytics
Group Outcome Comparison
Side-by-side success rate comparison between population groups, giving you instant visual clarity.
Step 04 — What-If Simulator
How Do We Fix It?
Adjust the minority success rate and see live how fairness improves. This is the power of proactive bias correction.
40%
0%25%50%75%100%
Simulated Disparate Impact
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–
Majority Rate (Fixed)
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Fairness Gap
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Step 05 — Impact Projection
Before vs After Fairness
See the concrete human impact of fixing bias in your AI system.
Current Dataset
DI: —
Minority Rate: —
⚠ Biased
→
Improved Dataset
DI: —
Minority Rate: —
✅ Fair