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Unlock the Black Box.
Enterprise-Grade Explainable AI.

EthicalXAI platform with comprehensive bias detection, AI explanations, compliance reporting, and enterprise billing. Built for scale with real-time analytics, multi-tenant architecture, and developer-first APIs.

EthicalXAI Platform

Complete enterprise solution with real-time bias detection, AI explanations, compliance reporting, and Stripe billing integration.

Real-Time Bias Detection

Advanced bias detection with demographic, language, contextual, and intersectional analysis. Get detailed metrics and actionable recommendations.

AI Explanations & Analytics

Comprehensive AI explanations with SHAP, LIME, and Grad-CAM methods. Real-time analytics dashboard with detailed metrics and usage reporting.

Enterprise Features

Multi-tenant architecture, role-based access control, compliance reporting, Stripe billing integration, and comprehensive API with WebSocket support.

Platform Features & Capabilities

Core features available in our testing environment, with full production release coming soon.

Testing Phase - Free Tier Available
Live

AI Bias Detection

Advanced algorithms detect gender, racial, and cultural biases in AI model inputs and outputs with real-time analysis and detailed reports.

Bias Analysis
Gender Bias 75%
Cultural Bias 45%
Age Bias 12%
Live

AI Explanations

Generate human-readable explanations for AI model decisions using SHAP, LIME, and counterfactual analysis methods.

Feature Importance
Age
85%
Income
62%
Location
38%
Explanation Method: SHAP
"Age is the most important factor (85%) in this prediction, followed by income level (62%)."
Live

Real-Time Analytics

Live dashboard with real-time metrics, WebSocket connections, usage tracking, and comprehensive reporting with detailed breakdowns.

Live Metrics
1,247
API Calls
98.2%
Uptime
Response Time 245ms
Success Rate 99.7%

From Input to Insight in 3 Simple Steps

Integrate our EthicalXAI platform effortlessly into your workflow.

1

Provide Input & Output

Send your AI model's input data and output responses to our API. Specify the model name and context for accurate analysis.

2

Run Analysis

Our platform automatically analyzes your data for bias detection and generates explanations using advanced XAI methods.

3

Get Insights & Reports

Receive detailed bias analysis, feature importance explanations, and comprehensive reports to build trust and ensure fairness.

See EthicalXAI in Action

Watch how our system processes data, detects bias, and generates explanations in real-time.

Input Data

Sample Input:
{"age": 35, "income": 75000, "location": "urban", "education": "bachelor"}
Model Prediction:
Loan Approved: 85% confidence

EthicalXAI Processing

Data Validation
Bias Detection
Explanation Generation

Results

Bias Analysis:
Analyzing...
Explanations:
Generating...

Bias Detection Analysis

Gender Bias 75%
Age Bias 45%
Income Bias 12%

AI Explanation (SHAP)

Age (35) +0.85
Income ($75K) +0.62
Education +0.38
Explanation:
Generating human-readable explanation...
Input
Process
Analyze
Explain
Output
Coming Soon

Available on AWS Marketplace

Deploy the EthicalXAI Platform directly from AWS Marketplace with one-click deployment, enterprise billing, and managed infrastructure.

One-Click Deployment

Deploy the complete platform with CloudFormation templates. Includes VPC, databases, monitoring, and security configurations.

Enterprise Billing

Usage-based billing through AWS Marketplace. Pay only for what you use with automatic scaling and cost optimization.

Managed Infrastructure

Fully managed with auto-scaling, monitoring, backups, and security. Focus on your AI models, not infrastructure.

Get Early Access

Be notified when EthicalXAI launches on AWS Marketplace

Flexible Plans for Teams of All Sizes

Start with our free tier now, with paid plans coming soon. No hidden fees. Cancel anytime.

Free Tier Available Now
AVAILABLE NOW

Free Tier

For individuals and small projects getting started.

$0 /mo
  • 500 API Calls/mo
  • Community Support
COMING SOON

Starter

For small teams that need more power and collaboration.

$99 /mo
$0.033 per API call
  • 3,000 API Calls/mo
  • Basic Support
COMING SOON

Professional

For growing businesses that require advanced features and support.

$399 /mo
$0.0266 per API call
  • 15,000 API Calls/mo
  • Priority Support
COMING SOON

Enterprise

For large organizations with custom needs and dedicated support.

$999 /mo
$0.02 per API call
  • 50,000 API Calls/mo
  • Dedicated Support
Contact Sales

Security First

Our commitment to protecting your data is paramount. We've built our platform on a foundation of enterprise-grade security principles.

Zero Trust Architecture

We operate on a "never trust, always verify" model. Every request, whether internal or external, is authenticated and authorized before processing, ensuring strict access control across the entire system.

Data Encryption

Your data is encrypted both in transit using TLS 1.3 and at rest using AES-256. We utilize Hardware Security Modules (HSMs) for managing encryption keys, ensuring they are never accessible in plain text.

Multi-Tenancy & Data Isolation

Your organization's data is logically and physically isolated in our multi-tenant architecture. Strict database-level policies prevent any possibility of data leakage between tenants.

Role-Based Access Control (RBAC)

Implement granular permissions for your team. Define custom roles like 'Developer', 'Auditor', and 'Business Analyst' to ensure users can only access the data and features they need.

Compliance & Certifications

We are compliant with major industry standards, including SOC 2 Type II, ISO 27001, GDPR, and HIPAA. We undergo regular third-party audits to validate our security posture.

Secure Software Development

Our CI/CD pipeline includes automated security scanning (SAST, DAST, IAST), dependency checking, and vulnerability management to ensure the integrity of our code and infrastructure.

Get in Touch

Have questions about our platform, pricing, or security? We'd love to hear from you.

Email Us

Prefer to reach out directly? Send us an email at:

[email protected]

We typically respond within 24 hours during business days.

Security Verification

Join the Waitlist

Be the first to know when the EthicalXAI Platform goes live. Sign up for early access and updates.

API Documentation

Comprehensive REST API for EthicalXAI Platform integration

Production Ready

99.9% Uptime

Enterprise-grade reliability with comprehensive monitoring

RESTful Design

Standard HTTP

JSON-based API with intuitive endpoints and responses

Multi-Language

SDK Support

Official SDKs for Python, JavaScript, and more

Quick Start

Authentication

All API requests require authentication using your API key. Include it in the X-API-Key header:

X-API-Key: YOUR_API_KEY

Note: For UI/application authentication, use Authorization: Bearer YOUR_TOKEN

Base URL

All API endpoints are relative to our base URL:

https://dev01.api.ethicalxai.com/api/v1
POST

Bias Detection Analysis

/bias/analyze

Analyze your AI model's input and output data for various types of bias including demographic, language, contextual, and intersectional bias. Get detailed insights and actionable recommendations to improve your model's fairness. Perfect for hiring decisions, loan approvals, and other critical business processes.

Hiring & Recruitment

Detect gender, age, and ethnic bias in job descriptions, candidate evaluations, and hiring decisions. Ensure fair and inclusive recruitment processes.

Loan & Credit Approval

Identify racial, gender, and geographic bias in loan applications, credit scoring, and financial services. Comply with fair lending regulations.

Request Body

{
  "prompt": "Evaluate this candidate for a software engineering position",
  "response": "The candidate has strong technical skills with 5 years of experience in Python and JavaScript. She graduated from Stanford with a computer science degree and has worked at Google. Her communication skills are excellent and she would be a great fit for our team.",
  "context": {
    "model_name": "hiring-ai-classifier",
    "model_type": "classification",
    "protected_attributes": ["gender", "age", "ethnicity", "education"],
    "domain": "hiring",
    "audience": "hr_managers"
  }
}

Response (200 OK)

{
  "analysis_id": "bias_hiring_67890abc123def",
  "bias_detected": true,
  "bias_types": ["demographic", "gender"],
  "confidence": 0.87,
  "overall_score": 0.68,
  "processing_time_ms": 1250,
  "recommendations": [
    "Use gender-neutral terms like 'candidate' instead of 'she'",
    "Focus on skills and experience rather than personal characteristics",
    "Include diverse examples in job descriptions",
    "Consider blind resume screening to reduce unconscious bias"
  ],
  "detailed_results": {
    "demographic_bias": {
      "bias_detected": true,
  "confidence": 0.85,
      "bias_scores": {
        "gender": 0.68,
        "age": 0.15,
        "ethnicity": 0.22,
        "education": 0.45
      }
    },
    "language_bias": {
      "bias_detected": true,
      "confidence": 0.78,
      "stereotypical_terms": ["excellent", "great fit"],
      "inclusive_terms": ["qualified", "experienced"]
    },
    "contextual_bias": {
      "bias_detected": false,
      "confidence": 0.35
    },
    "intersectional_bias": {
      "bias_detected": false,
      "confidence": 0.28
    }
  },
  "metrics": [
    {
      "name": "Gender Bias Score",
      "score": 68.0,
      "description": "Gender bias detected in candidate evaluation"
    },
    {
      "name": "Education Bias Score", 
      "score": 45.0,
      "description": "Potential bias based on educational background"
    },
    {
      "name": "Analysis Confidence",
      "score": 87.0,
      "description": "Confidence level in the bias detection analysis"
    }
  ],
  "quota_remaining": 48500,
  "cost_cents": 2
}

Batch Processing

POST /bias/analyze/batch

Analyze multiple texts for bias in a single request (up to 100 analyses)

Request Body:

{
  "analyses": [
    {
      "prompt": "First prompt",
      "response": "First text to analyze",
      "context": {}
    },
    {
      "prompt": "Second prompt",
      "response": "Second text to analyze", 
      "context": {}
    }
  ]
}

Response:

{
  "batch_id": "batch_12345",
  "total_analyses": 2,
  "successful_analyses": 2,
  "failed_analyses": 0,
  "results": [...],
  "total_cost_cents": 4,
  "quota_remaining": 48496,
  "processing_time_ms": 2100
}
POST

AI Explanations

/explanations/explain

Generate interpretable explanations for AI model predictions using state-of-the-art methods like SHAP, LIME, and Grad-CAM. Understand which features influenced your model's decisions.

Request Body

{
  "analysis_id": "bias_67890abc123def",
  "text": "The patient shows symptoms of diabetes including frequent urination and increased thirst",
  "method": "shap",
  "num_features": 15,
  "num_samples": 1000
}

Response (200 OK)

{
  "explanation_id": "exp_12345def678abc",
  "analysis_id": "bias_67890abc123def",
  "method": "shap",
  "prediction": "Bias detected with high confidence",
  "natural_language": "The model's high confidence in bias detection is primarily driven by the presence of gender-specific language patterns and demographic assumptions in the text.",
  "feature_importances": [
    {
      "feature": "gender-specific terms",
      "importance": 0.28,
      "description": "Strong indicator of demographic bias"
    },
    {
      "feature": "professional stereotypes",
      "importance": 0.22,
      "description": "Common bias pattern in healthcare text"
    }
  ],
  "text_highlights": [
    {
      "text": "doctors",
      "importance": 0.25,
      "type": "demographic_bias"
    },
    {
      "text": "medical professionals",
      "importance": 0.18,
      "type": "context"
    }
  ],
  "word_importances": {
    "doctors": 0.25,
    "medical": 0.18,
    "professionals": 0.15,
    "healthcare": 0.12
  },
  "attention_weights": [[0.25, 0.18, 0.15, 0.12]],
  "counterfactuals": [
    {
      "original": "doctors",
      "suggested": "healthcare providers",
      "impact": "Reduces gender bias by 0.15"
    }
  ],
  "confidence": 0.92,
  "processing_time_ms": 1850,
  "visualization_data": {
    "chart_type": "bar",
    "data": [...]
  },
  "quota_remaining": 48499,
  "cost_cents": 3
}

Available Methods

GET /explanations/methods

Get available explanation methods and their costs

Response:

{
  "methods": [
    {
      "name": "shap",
      "description": "SHAP (SHapley Additive exPlanations)",
      "cost_cents": 3
    },
    {
      "name": "lime",
      "description": "LIME (Local Interpretable Model-agnostic Explanations)", 
      "cost_cents": 2
    },
    {
      "name": "attention",
      "description": "Attention-based explanations",
      "cost_cents": 1
    },
    {
      "name": "counterfactual",
      "description": "Counterfactual explanations",
      "cost_cents": 4
    }
  ]
}

Error Handling

401 Unauthorized

Invalid or missing API key

{
  "error": "unauthorized",
  "message": "Invalid API key provided",
  "code": 401
}

429 Rate Limited

Too many requests

{
  "error": "rate_limit_exceeded",
  "message": "Rate limit exceeded",
  "retry_after": 60,
  "code": 429
}