AI ReliabilityScore — The AI Quality Index
A comprehensive 0–100 score that evaluates your AI application across five critical dimensions to determine production readiness.
Why AI ReliabilityScore Matters
Traditional testing isn't enough for AI applications. LLMs can hallucinate, produce inconsistent results, retrieve irrelevant context, or generate unsafe content. AIReliabilityScore provides a single, actionable metric that captures all these risks.
The Five Pillars
1. Accuracy (30%)
Measures correctness against ground truth data. We validate responses using proven evaluation metrics and domain-specific benchmarks.
- Semantic similarity scoring
- Factual correctness validation
- Answer relevance assessment
2. Retrieval Quality (25%)
For RAG systems, evaluates whether the right context is being retrieved and used effectively.
- Context relevance scoring
- Retrieval precision & recall
- Source attribution accuracy
3. Hallucination Detection (20%)
Identifies when your AI makes up facts, invents sources, or contradicts provided context.
- Grounding verification
- Citation validation
- Contradiction detection
4. Safety & Compliance (15%)
Scans for toxic content, policy violations, PII leakage, and regulatory compliance issues.
- Toxicity & bias detection
- PII & sensitive data checks
- Policy adherence validation
5. Consistency (10%)
Measures repeatability by running identical queries multiple times and analyzing variance in responses.
- Multi-run variance analysis
- Response stability testing
- Temperature sensitivity assessment
What You Receive
📊 Comprehensive Report
- • Overall AIReliabilityScore (0–100)
- • Breakdown by all 5 dimensions
- • Visual performance dashboards
- • Executive summary for stakeholders
🔧 Actionable Insights
- • Prioritized remediation plan
- • Specific failure examples
- • Best practice recommendations
- • Prompt engineering suggestions
📈 Interactive Dashboard
- • Drill-down by test category
- • Filter by severity level
- • Export data for analysis
- • Share with your team
🚀 Implementation Support
- • Follow-up consultation call
- • CI/CD integration guidance
- • Ongoing monitoring setup (Enterprise)
- • Quarterly re-testing options
Ready to Test Your AI?
Get your AIReliabilityScore and ensure your AI application is production-ready.