Our Services
Specialized AI safety testing for every AI system your organization relies on
A few things we're great at
Analyzing and auditing AI systems for deep reliability and real-world failure patterns — beyond fairness checkboxes.
We optimize AI systems for consistent and fair results, ensure clarity and accountability in every decision, and safeguard your technology with robust security and compliance measures.
Evaluation & Metrics
We provide comprehensive evaluation services to ensure your AI models perform effectively, remain bias-free, and deliver transparent, explainable results. From custom metrics to detecting toxicity and hallucinations, we help optimize your AI for reliability and fairness.
Bias & Fairness Audits
Our services focus on detecting and mitigating bias, ensuring compliance with regulatory standards, and delivering tailored fairness solutions designed to meet the unique needs of your industry.
LLM Security & Red Teaming
We offer advanced security services, including red teaming to uncover vulnerabilities, LLM Guarding for comprehensive input/output scanning, and robust defense strategies to protect availability, integrity, privacy, and prevent abuse.
Observability & Monitoring
Our solutions enable real-time monitoring of responses and conversations, efficient dataset management and evaluation, and actionable insights through real-time metrics and alerts.
Human-in-the-Loop
We specialize in managing reviewer feedback, training annotators to ensure AI quality, and fostering human-AI collaboration to develop ethical and responsible AI systems.
Integrations & Guardrails
We implement guardrails for prompt versioning, RAG evaluation, and regression testing, while also developing synthetic test data and custom embedding models tailored to your needs.
Gen AI & Chatbots
Test conversational AI and LLM systems for hallucinations, bias, and security vulnerabilities.
Generative AI chatbots are increasingly used for candidate engagement, FAQ handling, and initial screening. These systems can hallucinate job requirements, invent policies, or provide discriminatory responses. We test for hallucination risks, prompt injection vulnerabilities, bias in responses, and compliance with data protection regulations.
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Our Methodology
- Prompt injection testing
- Hallucination detection
- Response bias analysis
- Data leakage assessment
- Adversarial testing scenarios
Deliverables
- Vulnerability assessment report
- Bias detection findings
- Security recommendations
- Compliance gap analysis
Voice AI
Evaluate phone screening AI for accuracy, fairness, and emotion recognition compliance.
Voice AI for phone screening promises efficiency but carries significant risks. These systems can discriminate based on accents, speech patterns, and voice characteristics. The EU AI Act now prohibits emotion recognition in workplace contexts—is your system compliant?
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Our Methodology
- Accent bias testing
- Speech pattern analysis
- Emotion recognition audit
- Cross-cultural evaluation
- Disability accommodation testing
Deliverables
- Fairness assessment report
- Compliance audit results
- Bias mitigation recommendations
- Technical remediation guide
CV Parsing & Screening
Audit CV screening tools for parsing errors, discrimination patterns, and hidden biases.
CV parsing and screening tools are at the heart of modern recruitment. But research shows these systems systematically disadvantage women, older candidates, and graduates from non-elite universities. We test for gender bias, ethnic discrimination, age bias, and systematic errors that filter out qualified candidates.
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Our Methodology
- Demographic parity testing
- Name and origin bias detection
- Format sensitivity analysis
- Keyword discrimination testing
- Historical bias assessment
Deliverables
- Bias detection report
- Discrimination patterns analysis
- Remediation roadmap
- Monitoring recommendations
Video Interview Analysis
Red-team video analysis AI for fairness in facial analysis, sentiment scoring, and candidate assessment.
AI-powered video interviews analyze facial expressions, voice patterns, and language to score candidates. These systems often perform differently across ethnicities, penalize candidates with disabilities, and disadvantage non-native speakers. We expose these hidden biases.
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Our Methodology
- Facial analysis fairness testing
- Cross-demographic evaluation
- Disability accommodation audit
- Sentiment scoring validation
- Explainability assessment
Deliverables
- Fairness audit report
- Bias detection findings
- Compliance recommendations
- Implementation guidance
Matching Algorithms
Test candidate-job matching for algorithmic fairness and hidden discrimination.
Matching algorithms determine which candidates see which jobs—and vice versa. These systems often learn from historical hiring data that reflects past discrimination. We test for proxy discrimination, feedback loop bias, and systematic unfairness in recommendations.
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Our Methodology
- Historical bias analysis
- Proxy discrimination testing
- Feedback loop assessment
- Recommendation fairness audit
- Outcome disparity analysis
Deliverables
- Algorithm audit report
- Discrimination risk assessment
- Debiasing recommendations
- Ongoing monitoring framework
AI Recruitment Agents
Audit autonomous recruitment agents for decision boundaries, bias patterns, and EU AI Act compliance.
AI recruitment agents are autonomous systems that make independent decisions about candidates—from screening conversations to scheduling and even hiring recommendations. These high-risk systems require rigorous testing under the EU AI Act. We evaluate agent boundaries, decision transparency, and fairness across all candidate interactions.
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Our Methodology
- Agent boundary testing
- Decision auditing & explainability
- Human handoff validation
- Failure mode analysis
- Autonomous decision bias testing
- Compliance mapping
Deliverables
- Agent behavior audit report
- EU AI Act compliance assessment
- Bias detection findings
- Risk mitigation roadmap
- Human oversight recommendations
Not Sure Where to Start?
Our free risk assessment will help identify which AI systems need the most attention.
Request Free Assessment