AI Quality Assurance
Continuous monitoring and evaluation of your AI systems to ensure reliable, accurate performance in production
AI in Production is a Black Box
Most organizations deploy AI systems without visibility into how they actually perform. When problems emerge, they surface through customer complaints—not dashboards.
Hallucination Risk
Your AI confidently states facts that aren't true. Without systematic detection, these errors reach customers and erode trust.
Silent Drift
Model updates, data changes, and user behavior shifts cause gradual quality degradation. By the time you notice, damage is done.
No Release Gates
Changes ship to production without quality verification. Bad updates reach users because there's no automated barrier.
Compliance Gaps
Regulators and customers ask for evidence of AI quality. Without systematic evaluation, you can't prove your systems work correctly.
Rigorous Evaluation Framework
Golden Set Development
We build curated test suites specific to your use case—happy paths, edge cases, adversarial inputs, and domain-specific scenarios. These become your quality benchmark.
Multi-Dimensional Scoring
We evaluate across the dimensions that matter: correctness, groundedness, hallucination rate, completeness, relevance, safety compliance, and format accuracy.
Automated Release Gates
Hard gates block bad deployments automatically. Soft gates warn on concerning trends. No more shipping changes without quality verification.
Production Monitoring
Continuous shadow evaluation against your golden set. Drift detection, anomaly alerts, and quality dashboards give you real-time visibility.
Common Situations
AI Already in Production
You've deployed chatbots, RAG systems, or AI features but have no visibility into quality. You need monitoring before issues become incidents.
Hallucination Concerns
Your AI sometimes makes things up. You need systematic detection and measurement to understand the scope and reduce the risk.
Compliance Requirements
Regulators, auditors, or enterprise customers are asking for AI quality evidence. You need documented evaluation and continuous monitoring.
Frequent Updates
You're iterating on prompts, models, or retrieval systems regularly. You need automated gates to prevent regressions from reaching users.
What You Get
Custom Golden Set
200-500+ test cases covering your specific use cases, edge cases, and failure modes. Versioned and maintained as your system evolves.
Evaluation Infrastructure
Automated harness for running evaluations, tiered judging (rules + LLM-as-judge + human), and result storage for trend analysis.
Release Gates
CI/CD integration that blocks deployments when quality thresholds aren't met. Hard gates for critical metrics, soft gates for warnings.
Quality Dashboards
Real-time visibility into AI performance metrics, historical trends, and anomaly detection. Executive summaries and engineering-level detail.
Ongoing Monitoring
Continuous shadow evaluation, drift detection, and monthly quality reports. Proactive alerts when performance degrades.
Investment
We offer evaluation services at multiple levels—from one-time audits to ongoing monitoring partnerships.
Evaluation Audit
Two-week assessment of your AI systems. We evaluate current performance, identify quality gaps, and recommend an evaluation strategy.
One-time engagement
Production Monitoring
Ongoing quality assurance with continuous evaluation, drift detection, monthly reports, and proactive optimization.
Monthly retainer
Book a discovery call to discuss your AI systems and evaluation needs.
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