Professional adversarial testing to identify vulnerabilities in your AI systems before malicious actors exploit them. Our security researchers and AI safety specialists attempt to break your guardrails, extract sensitive information, manipulate agent behavior, and trigger unsafe outputs.
Systematic human evaluation of multi-turn agent conversations to validate task completion, safety boundaries, user experience quality, and alignment with intended behavior.
Objectives accomplished, factual accuracy, ambiguity handling
Appropriate refusals, scope limitations, harmful content avoidance
Natural conversation, reasoning explanation, response quality
Predictable outputs, context maintenance, trustworthy behavior
Expert human assessment of model outputs for accuracy, safety, bias, quality, and domain-specific requirements. We validate that model generations meet your standards before they reach users.
Board-certified physicians validate clinical outputs and regulatory compliance.
Licensed attorneys evaluate legal reasoning and contract analysis accuracy.
Financial analysts validate market analysis and regulatory compliance.
Engineers evaluate code generation quality and security vulnerabilities.
Gold-standard human-annotated datasets designed to withstand regulatory scrutiny, support internal model benchmarking, and demonstrate safety for high-stakes applications.
Annotation schema development, guidelines with edge case handling, quality control procedures
Domain specialist identification, credential verification, training and calibration
Multi-pass annotation with blind review, real-time quality monitoring, disagreement adjudication
Inter-rater reliability calculation, systematic quality audits, final data validation
Complete methodology report, annotator credentials, regulatory compliance attestation
Most clients start with a pilot evaluation (72-hour turnaround) to assess quality and fit before committing to larger engagements.
Or reach us directly: hello@slicelabel.com