Testing of AI
Validating the non-deterministic. We provide the independent assurance layer to ensure your intelligent systems are accurate, secure, and compliant.
TESTAI
AI isn't tested with traditional pass/fail logic. We use probabilistic validation and human-directed Adversarial Testing to audit Agent behavior, quantify hallucination rates, and verify that agentic workflows operate within strictly defined safety guardrails.
Ask for a demoTESTAI – Context-Aware AI Validation Capabilities
- Adversarial Testing
- Bias, Hallucination and PII Validation
- Agentic Guardrail Verification
- LLM Benchmarking
AI Assurance Tests
Specialized validation layers for the LLM and Agentic ecosystem.
LLM Benchmarking
Evaluating model performance against custom datasets to ensure accuracy, tone, and reliability.
Agentic Behavior
Verifying that autonomous agents follow business logic and hand off tasks without failure.
Adversarial Testing
Probabilistic testing to discover jailbreaks, prompt injections, and security vulnerabilities.
RAG Accuracy
Auditing the retrieval pipeline to ensure AI responses are grounded in your private enterprise data.
Bias & Fairness
Quantifying model bias and ensuring equitable outputs across diverse user demographics.
Governance Audits
Preparing technical documentation for regulatory compliance (EU AI Act, etc.) and safety logs.
Quantifying Model Reliability
Hallucination Rate
Protection
Reliability Audits for Global AI Creator Tools.
Established an "AI Trust Score" that became the internal KPI for Go/No-Go release decisions across their entire intelligent product suite.
Trust in AI must be engineered.
Book a 45-minute AI validation session to review model risks and define your assurance roadmap.
Start AI Assurance ReviewSafety Insights
Deep dives into the probabilistic nature of AI testing and model trust.
