So you release your AI assistant with evidence, not hope.
Connects your AI assistant and simulates 100s of customer interactions - automatically. Every dialogue is recorded, scored, and assessed.
Traditional QA tools weren't built for LLMs. Hangar 5 is.
LLM-based assistants don't fail at understanding the user intent - they fail inside conversations.
That's why every Hangar 5 test run produces evidence from full, end-to-end dialogues, not pass/fail assumption
Relevance, Grounding, and User Experience - measured across the entire dialogue.
Watch each simulated interaction unfold exactly as a customer would experience it. When an assistant fails across multiple turns, a score isn't always enough.
Every simulated conversation, captured in full. Pinpoint where context was lost, facts drifted, or the experience broke down - without interpretation or guesswork.
Not a single aggregate score that hides where things went wrong. Three specific measurements - each one actionable.
Did the assistant respond to what the user actually asked - across the full conversation?
Were responses consistently grounded in approved knowledge, not hallucinated or inferred?
Did the conversation flow naturally, or would a real customer abandon and escalate?
Traditional QA tools - manual or automated - assume deterministic behaviour: the same input produces the same output
LLM-based assistants break that assumption entirely.
Most teams respond by testing what they can, documenting what they can't, and hoping for the best.
That's not quality assurance. That's unmanaged risk.
A human tester validates 50–100 interactions per day. Your chatbot, voicebot, or agent has thousands of possible paths. Manual coverage would take weeks, not sprints.
Rule-based test scripts break constantly on LLM output. False failures pile up. Teams stop trusting the results.
Slang, typos, accents, partial sentences. Clean test cases don't reflect real users - production traffic does.
In regulated industries, a single hallucinated response can trigger regulatory review, legal action, or media coverage. The cost vastly exceeds the cost of testing properly.
“A single inaccurate response can result in legal risk, regulatory fines, or lost business. Hangar 5 gives us a level of pre-deployment assurance we simply couldn't achieve with manual testing.”
“Our team loves how easy Hangar 5 is to use. No need to involve our busy development team. At last, we don't need to test manually.”
“Hangar 5 has helped our clients assess the risk and value of their GenAI investment. It creates a new level of quality assurance for LLM-based chatbots, voicebots, and AI agents.”
Book a 30-minute demo and we'll run a live test on your chatbot. You'll see recorded dialogues, video replays, and your first scores before the call ends.