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Explainability Layer (XAI)

XAILENCE

Transparency at the core

Makes every prediction transparent. Highlights driving factors, exposes bias, and allows for auditability and trust at scale.

50K+

Predictions Explained

100%

Transparency Score

25+

Bias Checks

1-click

Audit Reports

INTERACTIVE DEMO

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See how XAILENCE transforms your workflow.

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Recent Predictions

NeuralPath AI 92

Predicted: High Potential

Confidence: 94%

CloudScale 67

Predicted: Review

Confidence: 78%

FinFlow 79

Predicted: Promising

Confidence: 86%

Explanation for

NeuralPath AI - Score 92

High Confidence No Bias Detected

Driving Factors (SHAP Analysis)

Team Experience
+18.2
Market Size
+15.7
Traction
+12.4
Burn Rate
-5.3
Competition
-3.1

Counterfactual

If burn rate decreased by 20%, the score would increase to 96.

Audit Trail

Model Confidence

94%

Trustworthy

What XAILENCE delivers

SHAP value explanations

Driving factor analysis

Bias detection & reporting

Audit trail generation

Counterfactual analysis

Model confidence scoring

Everything you need

Built for VCs who demand precision and transparency.

Full Transparency

Every prediction comes with a complete explanation of why it was made.

Factor Analysis

See exactly which variables drove each prediction, ranked by impact.

Bias Detection

Automatically identify and flag potential biases in model predictions.

Audit Trails

Generate compliance-ready audit reports with one click.

Counterfactuals

Understand what would need to change for different outcomes.

Trust Metrics

Model confidence scores help you know when to trust and when to verify.

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The explainability layer (XAI) that makes every prediction transparent. Highlights driving factors, exposes bias, and allows for auditability and trust at scale.

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