Cyara
Cyara · Voice & Language · Marketing
Cyara is an AI-led CX assurance platform that tests, monitors, and governs contact center journeys across voice, chat, and AI agents before customers reach them.
About Cyara
What Is Cyara
Cyara is an enterprise platform for checking that customer service systems actually work. It places simulated calls and chats into a company's phone tree, chatbots, messaging channels, and agent desktops, then reports where a journey breaks. The company has been at this since 2006, when contact center testing mostly meant dialing an IVR by hand. The current version adds AI agents to the list of things it validates.
The problem it addresses is scale. A contact center runs on a stack of carriers, session border controllers, CCaaS platforms, CRMs, and now large language models. Each vendor tests its own piece. Nobody tests the path a customer actually takes, especially when that path crosses channels or hands off to a live agent. Cyara's pitch is that it owns that end-to-end view.
Two constraints shape who should care. First, this is enterprise software sold through sales conversations, so there's no self-serve signup and no published price. Second, value depends on test coverage: the platform is only as useful as the journeys your team builds and maintains inside it. Teams without someone to own that work tend to underuse it.
Getting Started
- Talk to Cyara sales and scope the channels you need, since voice testing requires telephony infrastructure and phone numbers in the countries you serve.
- Connect the systems under test. That means your IVR or contact center platform credentials, bot endpoints, and agent desktop details.
- Build journeys in the no-code designer by dragging steps like dial, listen, press digits, or send a chat message, or import existing test cases.
- Schedule the suites to run on every change, nightly, or continuously, and set pass and fail thresholds for each step.
- Review results in the dashboards, route failures to the owning team, and expand coverage as new flows ship.
Product Information
A quick look at Cyara's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Contact center QA and test engineers
- CX and operations leaders
- Telecom and voice engineering teams
Tasks
- Regression testing an IVR after a platform upgrade
- Validating a new chatbot or voice agent before launch
- Load testing peak volumes
- Monitoring phone numbers and caller ID
Scenarios
- Migrating from an on-premise IVR to a cloud contact center
- Running a multilingual customer service line
- Keeping an AI agent inside policy after go-live
Key features
AI bot validation
Botium, the bot testing product inside Cyara, runs scripted and generative conversations against chatbots and voice agents, and it's the piece most teams start AI agent testing with. It works with Dialogflow, Amazon Lex, IBM Watson, Kore.ai, Nuance, and custom LLM agents, so validation doesn't tie you to one vendor. Tests cover intent recognition, fallback behavior, and the handoff to a live agent.
Automated IVR and journey testing
Velocity and Cruncher place real or virtual calls into your phone system and step through menus the way a customer would. You build the flow visually, tag expected prompts and responses, and the suite reports the exact step that failed. Cyara says customers cut IVR test cycles by up to 90%, and that figure comes from the vendor, not an independent benchmark.
AI Trust for generative agents
The AI Trust suite targets the risks that come with LLM-driven service. FactCheck compares generated answers against approved sources to catch hallucination, Misuse probes whether the agent can be pushed into off-policy behavior, and monitoring watches live traffic for drift. A compliance module rounds out the set for regulated industries.
Load and performance testing
The same journey definitions can be replayed at volume to see how the stack behaves under peak demand. Instead of guessing capacity from vendor datasheets, you push thousands of simulated calls through and watch where latency, queueing, or dropped calls start.
Telecom and number assurance
Cyara runs test infrastructure in 145+ countries and monitors 420+ carriers, which matters because call quality problems often live in the network rather than the application. Number Trust adds continuous scanning of caller ID presentation across mobile networks and spam labeling apps, a common reason outbound campaigns underperform.
Omnichannel observability
Pulse and Pulse 360 handle omnichannel monitoring by keeping synthetic transactions running on a schedule, then alerting when a channel degrades. ResolveAX extends that visibility to agent desktops and WebRTC media paths, so a problem that only shows up when a live agent picks up still gets caught.
Pros and cons
Pros
- Covers the whole path a customer takes, from carrier to IVR to bot to agent desktop, instead of testing one component in isolation.
- Test cases run without human dialing, which is the only realistic way to regression test an IVR before every release.
- Bot validation is vendor neutral, so it keeps working when you swap chatbot platforms or model providers.
- Telecom coverage in 145+ countries gives real in-country dialing rather than simulated numbers.
- Public REST API and a developer portal let teams trigger test suites from CI/CD pipelines.
Cons
- No published pricing and no free tier, so evaluating it means a sales cycle before you can run a single test.
- Enterprise contracts put it out of reach for small support teams, and the entry point isn't documented anywhere public.
- Building and maintaining journey coverage takes ongoing effort. Companies that buy it without assigning an owner often end up with stale suites.
- Voice testing needs telephony provisioning, which adds lead time compared with pure software tools.
Frequently asked questions
It tests and monitors customer service systems the way a customer would use them. Simulated callers and chatters go through IVRs, bots, and agent handoffs, and the platform reports where the journey failed.
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