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    AI EVALUATION SUITE

    Custom Benchmarks and Safety Testing

    Comprehensive evaluation frameworks that measure what matters—model accuracy, safety, bias, robustness, and real-world performance for your specific use case.

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    Technology Partners

    Microsoft AzureMicrosoft AzureGoogle CloudGoogle CloudAWSAWSNVIDIANVIDIAOpenAIOpenAIHugging FaceHugging FaceMeta AIAnthropicLangChainLangChainPineconePineconeMicrosoft AzureMicrosoft AzureGoogle CloudGoogle CloudAWSAWSNVIDIANVIDIAOpenAIOpenAIHugging FaceHugging FaceMeta AIAnthropicLangChainLangChainPineconePinecone

    You Can't Improve What You Can't Measure

    Generic benchmarks don't capture domain-specific performance. We build custom evaluation suites tailored to your use case, measuring the metrics that actually matter for your business outcomes.

    EVALUATION DIMENSIONS

    What We Measure

    Task Performance

    Custom benchmarks measuring accuracy, completeness, and quality for your specific tasks and domains.

    • Domain-specific test sets
    • Multi-metric scoring
    • Human evaluation protocols
    • A/B comparison frameworks

    Safety & Alignment

    Red-teaming, adversarial testing, and alignment evaluation to ensure safe, responsible AI behavior.

    • Adversarial prompt testing
    • Jailbreak resistance
    • Toxicity and bias detection
    • Policy compliance validation

    Robustness

    Stress testing for edge cases, distribution shifts, and adversarial inputs that models encounter in production.

    • Edge case generation
    • Input perturbation testing
    • Out-of-distribution detection
    • Graceful failure analysis

    Performance & Efficiency

    Latency, throughput, cost, and resource utilization metrics for production deployment planning.

    • Inference latency profiling
    • Throughput benchmarking
    • Cost-per-query analysis
    • Scaling behavior testing
    FRAMEWORK

    Our Evaluation Framework

    01

    Define Metrics

    Identify the quality dimensions that matter most for your use case and business.

    02

    Build Test Sets

    Curate representative test data including edge cases and adversarial examples.

    03

    Automate Scoring

    Implement automated evaluation pipelines with LLM-as-judge and rule-based checks.

    04

    Human Evaluation

    Design and run human evaluation studies for subjective quality dimensions.

    05

    Continuous Monitoring

    Set up production monitoring to track quality metrics over time.

    DELIVERABLES

    What You Receive

    Evaluation Report

    Comprehensive results across all dimensions with visualizations and insights.

    Custom Benchmark

    Reusable benchmark suite tailored to your domain and quality requirements.

    Monitoring Dashboard

    Real-time quality monitoring for production model performance.

    Test Infrastructure

    Automated testing pipeline for continuous evaluation of model updates.

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    Ready to build something real?

    Let's align on your AI goals and define the next steps that will create real business value.