AI that impresses in the demo — proven before it reaches production.
Independent evaluation and testing for LLMs, agents and chatbots — benchmark scoring, guardrail and bias testing, and continuous regression evals wired into your release pipeline.
Testing the AI itself, not just the software around it.
Powered end-to-end by our VVnT Converge platform for unified defect and evaluation coverage.
AI Evaluations & LLM Testing
Benchmark and golden-set scoring, LLM-as-judge, hallucination & groundedness checks, continuous regression evals wired into CI/CD.
Agentic AI & Workflow Testing
Multi-step agent behaviour — tool selection, task completion and decision traceability across real system boundaries.
Conversational AI & Chatbot Testing
Multi-turn context retention, persona and tone consistency, escalation handoff, and live safety filtering.
AI Component & Integration Testing
RAG and retrieval quality, embedding accuracy, tool/function-calling correctness, latency & cost validation.
Prompt & Guardrail Testing
Prompt-injection resistance, jailbreak attempts, and harmful-content or data-leakage checks.
AI Model Drift & Bias Testing
Re-testing after model or fine-tune changes, plus structured bias and fairness evaluation across edge cases.
From first benchmark to production monitoring.
Evaluation framework design
Defining what “good” means for your AI — success metrics, golden datasets and pass/fail thresholds before testing begins.
Benchmark & golden-dataset curation
Representative test sets covering real use cases, edge cases and known failure modes.
Automated evaluation pipelines
LLM-as-judge and automated scoring wired into CI/CD, so every release is evaluated before it ships.
Red-teaming & adversarial testing
Deliberate attempts to break guardrails, leak data or produce harmful outputs — before an attacker does.
Human-in-the-loop review
Structured expert review for the judgment calls automated scoring can’t make alone.
Continuous monitoring & drift alerts
Ongoing evaluation in production, flagging quality or bias drift after model or prompt changes.
“Evaluation isn’t a checkbox before launch — it’s how we keep proving your AI still deserves your customers’ trust.”
Proof pointOur evaluation methodology is informed by NIST's AI Risk Management Framework and Cloud Security Alliance (CSA) AI security guidance. AI evaluation and red-teaming upskilling is delivered jointly with VVNT Foundation.
Pairs naturally with AI engineering and testing.
Ready to evaluate your AI systems?
Tell us what you've built — LLM features, agents or chatbots — and we'll come back with an evaluation framework and testing roadmap.