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Bias Testing & Auditing

Uncover hidden inequities. Our rigorous audits evaluate your models for fairness, transparency, and compliance with ethical standards.

Our Audit Services

Red Teaming & Security Audit

  • Bias detection & fairness testing
  • Hallucination analysis
  • Prompt injection tests
  • Data privacy assessment
  • Security penetration testing
  • Compliance verification
5+ weeks engagement

LLM Benchmarking & Comparison

  • Multi-model performance testing
  • Bias & fairness comparison
  • Cost-benefit analysis
  • Language & domain performance
  • Detailed recommendation report
3-4 weeks assessment

AI Assistant Evaluation

  • Conversational quality & UX
  • Response accuracy & consistency
  • Bias & fairness detection
  • Brand personality alignment
  • Error handling review
  • Compliance & safety verification
4-6 weeks program

Thematic AI Research

  • Bias in domain-specific AI
  • Environmental impact & carbon
  • AI regulation landscape
  • Ethical implications
  • Accessibility & digital divide
  • Custom research topics
2-8 weeks (project-dependent)

Our Audit Approach

1

Scoping & Planning

We define audit objectives, evaluation criteria, and methodologies tailored to your AI system and use case.

2

Systematic Testing

Comprehensive evaluation using automated testing, manual review, adversarial probing, and real-world scenarios.

3

Analysis & Documentation

Detailed findings report with severity ratings, evidence documentation, and risk assessment for each identified issue.

4

Recommendations & Follow-up

Actionable remediation roadmap with prioritized fixes, best practices, and optional support for implementation.

Ready to Audit Your AI Systems?

Let's discuss your audit needs and ensure your AI is safe, fair, and compliant.