Rigorous AI Agent
Testing & Evaluation
Before you deploy, we test. Our evaluation lab provides comprehensive safety, performance, accuracy, and reliability testing for enterprise AI agents.
Evaluation Framework
Four pillars of rigorous AI agent assessment before enterprise deployment.
Safety Evaluation
Test for harmful outputs, jailbreaks, prompt injection, and policy violations using adversarial red-teaming.
Performance Benchmarks
Measure latency, throughput, cost-per-token, and resource utilization across different model configurations.
Accuracy Metrics
Evaluate factual accuracy, task completion rates, hallucination detection, and reasoning quality.
Reliability Testing
Consistency under load, graceful degradation, error recovery, and long-horizon task completion.
Metrics Dashboard
Real-time visibility into your AI agent performance
Red-Teaming Capabilities
Adversarial testing to find vulnerabilities before bad actors do.
Adversarial Prompts
Systematic testing with adversarial inputs designed to expose safety vulnerabilities and unexpected behaviors.
Jailbreak Testing
Comprehensive jailbreak attempt library with 10,000+ known attack patterns and novel variant generation.
Data Leakage Detection
Probe agents for unintended exposure of training data, PII, and proprietary information.
Prompt Injection
Test resistance to indirect prompt injection attacks via external content, tool outputs, and user inputs.
Benchmark Suite
Industry-standard benchmarks plus proprietary enterprise-specific test suites.
Evaluate Your AI Agents Before Deployment
Don't deploy blind — our evaluation lab will give you comprehensive insights into your AI system's safety and performance.