AI Quality Engineering Services

Ensure your AI systems are Reliable, Safe, and Production-Ready. We move beyond functional testing to validate behavior, safety, and regulatory compliance.

AI Quality & Risk Readiness Audit
01

AI Quality & Risk Readiness Audit

A comprehensive assessment of your AI systems against safety, security, and performance benchmarks. We identify "silent" failure modes before deployment.

Engagement Model
2-3 Week Intensive Sprint

Who it's for

CTOs & Product Leaders preparing for a major AI launch.

The Problem

Uncertainty about whether the model is actually ready for production traffic and regulatory scrutiny.

What We Test (Scope)

  • Data Leakage & Privacy Checks
  • Adversarial Robustness Assessment
  • Bias & Fairness Auditing
  • Infrastructure Scalability Review

Key Deliverables

Risk Severity Matrix (Critical/Major/Minor)Go/No-Go Deployment RecommendationRemediation Roadmap
LLM & Generative AI Testing
02

LLM & Generative AI Testing

Specialized testing for non-deterministic models. We validate prompt robustness, hallucination rates, and resistance to adversarial attacks.

Engagement Model
Project-Based or Retainer

Who it's for

Teams building RAG apps, agents, or copilots.

The Problem

Models hallucinating facts or being tricked into unsafe behaviors (jailbreaks).

What We Test (Scope)

  • Prompt Injection & Jailbreak Testing
  • Factuality & Grounding Verification (RAG)
  • Tone & Brand Alignment
  • Multilingual Performance

Key Deliverables

Hallucination Rate BaselineVulnerability Report (OWASP Top 10 for LLMs)Optimized System Prompts
AI QA Automation Frameworks
03

AI QA Automation Frameworks

Custom-built automated testing pipelines that integrate with your CI/CD. Catch regression and drift with every model update.

Engagement Model
Build-Operate-Transfer

Who it's for

Engineering teams scaling their AI operations (MLOps).

The Problem

Manual testing is too slow and unrepeatable for frequent model updates.

What We Test (Scope)

  • Regression Test Suite Implementation
  • CI/CD Integration (GitHub Actions/Jenkins)
  • Synthetic Data Generation for Eval
  • Drift Detection Alerts

Key Deliverables

Fully Dockerized Test RunnerCustom Eval DatasetDashboard for Quality Metrics
AI-QE Retainers
04

AI-QE Retainers

Ongoing quality engineering support. We act as your external AI risk department, ensuring continuous compliance and reliability.

Engagement Model
Monthly Subscription (Fractional Leadership)

Who it's for

Enterprises needing constant oversight without hiring a full in-house safety team.

The Problem

Keeping up with rapidly evolving models, attacks, and regulations (EU AI Act).

What We Test (Scope)

  • Monthly Red-Teaming Exercises
  • Quarterly Compliance Audits
  • Incident Response for AI Failures
  • Vendor Model Updates Evaluation

Key Deliverables

Monthly Quality Assurance ReportsRegulatory Compliance ArtifactsOn-Call Expert Access
Regulated & Healthcare AI QA
05

Regulated & Healthcare AI QA

Validation support for high-risk clinical and financial systems. We ensure "zero-fail" reliability readiness for critical decision engines.

Engagement Model
Long-Term Partnership

Who it's for

HealthTech, FinTech, and GovTech organizations.

The Problem

Strict liability and high cost of failure in life-critical or financial applications.

What We Test (Scope)

  • Clinical Safety Validation Support
  • Algorithmic Explainability (XAI) Review
  • HIPAA/GDPR Data Handling Checks
  • Edge Case Stress Testing

Key Deliverables

FDA/Regulatory Submission Readiness ArtifactsSafety Safety Case ArchivesExplainability Documentation

Not sure where to start?

Most teams start with a Risk Readiness Audit to establish a baseline for their AI Quality maturity.