Find Where Your
AI Systems Fail
We're AI Safety specialists for recruitment. We don't sell compliance checklists—we test, red-team, and break your AI systems to find failures before they become lawsuits.
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.
The AI Revolution in Recruitment
Has a Dark Side
Artificial Intelligence has transformed how companies find, screen, and hire talent. CV parsing, chatbots, video interviews, voice screening—these tools promise efficiency and objectivity. But beneath the surface, they often harbor serious problems.
Research shows that most recruitment AI systems contain measurable biases. They can discriminate based on gender, age, ethnicity, disability, and socioeconomic background—often in ways their own developers don't fully understand.
The EU AI Act now classifies recruitment AI as high-risk, requiring rigorous testing, documentation, and human oversight. Non-compliance can result in fines up to €35 million or 7% of global turnover.
AI Safety for the Entire Staffing Industry
From recruitment agencies to temp staffing (uitzend), from executive search to gig platforms – we understand the unique challenges AI brings to every segment of the workforce industry.
What Goes Wrong with Recruitment AI?
These aren't hypothetical risks—they're documented failures that have already happened
Chatbot Hallucinations
AI chatbots invent job requirements, salary ranges, or company policies that don't exist—misleading candidates and creating legal liability.
Video Analysis Bias
Facial analysis AI performs differently across ethnicities and penalizes candidates with disabilities, accents, or neurodiverse communication styles.
CV Parsing Discrimination
Parsing algorithms systematically filter out women, older candidates, and graduates from non-elite universities based on name patterns and formatting.
Voice AI Misjudgments
Voice screening AI misinterprets accents, speech patterns, and emotional states—rejecting qualified candidates based on how they sound.
Matching Algorithm Errors
Job matching systems learn from historical hiring data that reflects past discrimination, perpetuating biases in candidate recommendations.
Black Box Decisions
Many AI systems can't explain why they rejected a candidate, making it impossible to verify fairness or comply with transparency requirements.
AI Systems We Test
Specialized red-teaming and evaluation for the AI tools recruitment companies actually use
Why Act Now?
February 2025
AI emotion recognition in workplaces becomes prohibited. Systems analyzing candidate emotions must be shut down or face severe penalties.
August 2026
Full EU AI Act compliance required. All high-risk recruitment AI systems must have documentation, testing, and human oversight in place.
The Hidden Costs of AI Failure
Beyond regulatory fines, untested AI systems create cascading business risks
Legal Exposure
AI discrimination claims can result in class-action lawsuits, regulatory fines, and years of litigation.
Reputation Damage
One viral AI failure story can undo years of employer branding and talent acquisition efforts.
Missed Talent
Biased AI systems systematically filter out qualified candidates, costing you top performers.
Operational Chaos
When AI systems fail mid-process, manual recovery is expensive and time-consuming.
Our Approach
A systematic methodology to find and fix AI failures
Audit
We map your AI systems, data flows, and decision points to understand exactly how AI influences your recruitment.
Test
Using red-teaming and adversarial testing, we systematically probe your systems for failures, biases, and vulnerabilities.
Report
You receive a comprehensive report with risk severity ratings, compliance gaps, and evidence-backed findings.
Fix
We provide actionable remediation guidance and can support your team through implementation.
AI Safety Implementation Roadmap
Navigate your AI compliance journey with our interactive roadmap. From initial discovery to continuous monitoring, we guide you through every step of implementing safe, fair, and compliant AI systems.
10 Key Phases
Complete implementation guide
Interactive Map
Click to explore each phase
Ready to Test Your AI Systems?
Get a free initial risk assessment and find out where your recruitment AI might be failing.
Request Free Assessment