Find Where Your
AI Systems Fail
We're AI Safety specialists. 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
Has a Dark Side
Artificial Intelligence has transformed how organizations make decisions—screening applications, answering customers, scoring risk, generating content, and automating workflows. These tools promise efficiency and objectivity. But beneath the surface, they often harbor serious problems.
Research shows that most AI systems used for high-stakes decisions 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 many AI applications—from recruitment and credit scoring to biometric systems—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 Every Industry
From HR and recruitment to finance, healthcare, customer service, legal, and the public sector – we understand the unique challenges AI brings to every organization that relies on automated decisions.
What Goes Wrong with AI Systems?
These aren't hypothetical risks—they're documented failures that have already happened
Chatbot Hallucinations
AI chatbots invent facts, prices, policies, or requirements that don't exist—misleading users and creating legal liability.
Facial & Video Analysis Bias
Facial and video analysis AI performs differently across ethnicities and penalizes people with disabilities, accents, or neurodiverse communication styles.
Automated Screening Discrimination
Screening and parsing algorithms systematically filter people out based on name patterns, gender, age, or formatting—perpetuating discrimination at scale.
Voice AI Misjudgments
Voice and speech AI misinterprets accents, speech patterns, and emotional states—reaching unfair conclusions based on how people sound.
Matching & Ranking Errors
Matching, scoring, and recommendation systems learn from historical data that reflects past discrimination, perpetuating bias in their outputs.
Black Box Decisions
Many AI systems can't explain why they reached a decision, making it impossible to verify fairness or comply with transparency requirements.
AI Systems We Test
Specialized red-teaming and evaluation for the AI tools organizations actually rely on
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 decisions.
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 AI systems might be failing.
Request Free Assessment