AI Evals & Red-Teaming
Systematic testing of AI behavior before and after production deployment. We find the failure modes regulators will find first — and the ones they won't.
Pre-Deployment Evaluation
Comprehensive test suites that measure accuracy, robustness, fairness, and safety before a model goes live. We design domain-specific benchmarks that matter to your business, not generic leaderboard scores.
Adversarial Red-Teaming
Structured attacks on your AI systems — prompt injection, jailbreaking, data extraction, hallucination triggers. We simulate real adversaries, not toy examples, and document every vulnerability with reproduction steps.
Continuous Monitoring
Production evaluation pipelines that catch drift, degradation, and emerging failure modes. Automated alerts when model behavior shifts beyond acceptable thresholds — before users or regulators notice.
Compliance Mapping
Every evaluation maps to specific regulatory requirements — UAE AI Strategy 2031, DIFC Regulation 10, and sector-specific frameworks. Audit-ready documentation generated as a byproduct of testing, not an afterthought.
Model Acceptance Testing
Structured evaluation of third-party or internally developed models before procurement or release. Pass/fail criteria tied to business requirements and compliance obligations, not just accuracy metrics.
Hallucination Detection
Systematic probing for confident false outputs — in legal reasoning, medical advice, financial analysis, or customer-facing Q&A. We measure hallucination rates under adversarial conditions, not just ideal ones.
Safety & Bias Audits
Evaluation of model outputs for harmful content, discriminatory patterns, and culturally inappropriate responses. Critical for customer-facing AI in diverse, regulated markets like the Gulf.
Production Guardrail Testing
Validation that your input filters, output moderators, and safety layers actually work against determined adversaries. Most guardrails look solid until someone who knows what they're doing takes a run at them.
Most AI failures are found by someone else first.
A regulator, a journalist, a customer, or an adversary. By the time they find it, the damage is done. Systematic evaluation and red-teaming shifts that power back to you — finding problems on your timeline, under your control, with time to fix them.
Ready to find your AI's failure modes before they find you?
Book a 30-minute scoping call. We'll assess your current evaluation posture and design a testing program that fits your risk profile and compliance requirements.