About
Cyara is an AI-powered Customer Experience Assurance platform purpose-built for enterprises deploying conversational AI at scale. As AI agents replace traditional IVRs and scripted decision trees, Cyara provides the critical confidence layer needed to catch failures before they reach customers—or regulators. Unlike legacy testing tools designed for static scripts, Cyara uses goal-based test generation to validate what an AI agent should accomplish rather than what it should say. The platform spans the full delivery lifecycle: pre-production testing, continuous production monitoring, and ongoing optimization across voice, chat, WebRTC, and digital channels. Key capabilities include AI agent testing with hallucination detection, intent handling validation, and multi-turn conversation flow analysis. Its production monitoring feature runs continuous synthetic interactions against live agents, surfacing regressions the moment a model update ships—not when a customer calls to complain. Voice assurance covers 140+ countries, validating IVR quality and telecom infrastructure alongside AI agent behavior. The product suite includes Velocity for performance testing, Cruncher for load testing, Botium for NLP analytics and conversational AI optimization, AI Trust for generative AI assurance, Pulse for CX monitoring, Number Trust for call ID assurance, and testRTC/watchRTC/qualityRTC for WebRTC quality assurance. Cyara is particularly valuable for regulated industries where AI agents handle sensitive customer interactions—financial advice, healthcare, and customer support—where 'we tested it in staging' is no longer a sufficient answer. With 62% of enterprises experimenting with AI agents but fewer than 15% having any assurance framework in place, Cyara fills a critical gap in the enterprise AI deployment lifecycle.
Key Features
- AI Agent Testing: Goal-based test generation for conversational AI that validates intent handling, multi-turn flows, edge cases, and hallucination detection—without relying on fixed scripts.
- Production Monitoring: Continuous synthetic interactions run against live AI agents to catch regressions immediately when a model update ships, before customers are impacted.
- Voice & IVR Assurance: End-to-end voice quality and IVR testing across 140+ countries, covering telecom infrastructure alongside AI agent behavior in a single platform.
- Conversational AI Optimization (Botium): NLP analytics, load testing, and LLM-driven testing for AI agents to measure resolution quality, sentiment drift, compliance adherence, and escalation accuracy.
- WebRTC Quality Assurance: Dedicated testRTC, watchRTC, and qualityRTC products ensure WebRTC-based CX channels meet performance and quality standards in real time.
Use Cases
- Testing conversational AI agents for intent accuracy, hallucinations, and multi-turn dialog quality before production deployment
- Continuously monitoring live AI agents in production to detect regressions immediately after model updates or prompt changes
- Validating voice IVR quality and telecom infrastructure across global markets to ensure consistent customer call experiences
- Running compliance assurance for AI agents in regulated industries where inaccurate or non-compliant responses carry legal and reputational risk
- Load and performance testing AI agents to ensure they scale reliably under peak customer interaction volumes
Pros
- Purpose-built for non-deterministic AI: Goal-based testing validates outcomes rather than exact responses, making it genuinely compatible with modern LLM-powered agents that don't follow fixed scripts.
- Comprehensive channel coverage: A single platform covers voice, IVR, chat, digital, and WebRTC channels—plus AI agent assurance—eliminating the need for multiple disparate testing tools.
- Continuous production assurance: Synthetic monitoring runs in live environments, enabling enterprises to detect and address failures in real time rather than discovering issues through customer complaints.
- Compliance and hallucination detection: Built-in safeguards help regulated industries ensure AI agents don't produce harmful, non-compliant, or inaccurate responses at scale.
Cons
- Enterprise-only pricing: Cyara targets large enterprises and requires a sales demo to get started, making it inaccessible and likely cost-prohibitive for SMBs or early-stage startups.
- No self-serve trial: There is no public free trial or self-service onboarding; all access is gated behind a demo request and sales process.
- Complex platform with steep learning curve: The breadth of products (Velocity, Botium, Pulse, testRTC, etc.) requires significant onboarding effort and expertise to configure and operate effectively.
Frequently Asked Questions
What is Cyara used for?
Cyara is used to test, monitor, and optimize AI-driven customer experience (CX) journeys. It helps enterprises validate conversational AI agents, voice IVR systems, chat channels, and WebRTC infrastructure to ensure they perform correctly and compliantly in production.
How does Cyara test AI agents differently from traditional tools?
Traditional testing tools rely on scripted, deterministic responses. Cyara uses goal-based testing that validates what an AI agent should accomplish—such as resolving a customer's issue or staying compliant—rather than checking for exact word-for-word outputs, which makes it suitable for non-deterministic LLM-powered agents.
Does Cyara support voice and IVR testing?
Yes. Cyara's Voice Assure product provides end-to-end voice quality and IVR testing across 140+ countries, validating telecom infrastructure alongside AI agent behavior within the same platform.
Can Cyara detect AI hallucinations in production?
Yes. Cyara's AI agent testing and AI Trust products include hallucination detection capabilities that validate AI agent responses for accuracy, compliance adherence, and appropriate escalation behavior during both pre-production testing and continuous production monitoring.
What industries is Cyara best suited for?
Cyara is especially valuable for regulated industries such as financial services, healthcare, and telecommunications, where AI agents handle sensitive customer interactions and compliance is critical. It is trusted by some of the world's largest enterprises across these sectors.
