Cyara

A one-sentence summary

Cyara is an enterprise-grade platform for ensuring customer experience; it uses automated testing agents to simulate real users in order to continuously test IVR, voice, chat, SMS, WebRTC, and generative AI agents before they are deployed in production environments.

Tool Introduction

Cyara is intended for contact center teams, quality engineering teams, platform operation teams, and AI governance teams; its purpose is not to answer calls on behalf of companies, but rather to identify issues related to performance, compliance, and AI-related risks throughout the customer journey.

The platform covers traditional scripted IVR systems, hybrid processes, and non-deterministic AI agents. For generative responses for which it is not possible to provide a word-for-word affirmation, Cyara uses criteria such as purpose, outcome, semantic quality, accuracy of improvements, and compliance rules to carry out the evaluation.

Main product modules

Main functions

Goal-driven AI agent testing

The system can generate tests based on natural language objectives, and it allows the testing agent to engage in multiple rounds of dialogue with the AI being tested. It focuses on whether the task is completed, whether the answers are credible, when it is necessary to involve human intervention, and whether the rules are followed; it does not require that the text be identical each time.

Risk assessment of generative AI

Cyara develops tests to address risks such as hallucinations, biases, misuse, security issues, compliance problems, and inappropriate recommendations. Companies should transform their own policies, prohibited content, and conditions for manual intervention into reproducible sets of evaluation criteria.

Functional and regression testing

Velocity allows for the creation of end-to-end customer journeys using a no-code interface, enabling the testing of menus, routing paths, backend data, as well as SMS and email communications. It can be rerun automatically whenever there is an update to the system, models, or prompts.

Automatic journey discovery

The platform can continuously explore and visualize the actual IVR paths, thereby helping to identify branches that are not mentioned in the documents, dead ends, and gaps in coverage. The results of these automatic detections still need to be verified by the business team to ensure they align with the intended design.

Load and capacity testing

Cruncher can simulate peak call volumes and concurrent interactions, allowing users to observe issues such as connection times, delays, errors, and backend bottlenecks. Load testing must be carried out within approved time frames to avoid affecting real customers.

Synthesis production monitoring

Modules such as Pulse initiate synthetic trips from the actual network on a regular basis in order to detect issues with numbers, service providers, IVRs, routing mechanisms, and downstream systems. Production monitoring can help identify abnormalities, but it cannot replace complaints from real users or business metrics.

Conversational AI and Botium

Botium offers support for various functions, NLP scoring, dialogue management, security, performance, and continuous monitoring; it can also be integrated with different robotics technologies. It is suitable for comparing intent recognition, answer quality, as well as different models or platforms.

Global voice assurance

Cyara provides voice and telecommunications testing services in over 145 countries, and monitors hundreds of operators. Its global coverage enables the simulation of local dialing procedures as well as variations in sound quality; however, the specific countries, numbers, and lines to be used must be confirmed according to the contract.

Agent and WebRTC experience

The platform can also check the agent’s equipment, network, desktop applications, and WebRTC media pathways. This enables it to distinguish between issues that occur during the customer’s journey, problems related to the contact center’s backend, and issues in the agent’s local environment.

Comparison of test types

Standard implementation process

1. Take stock of the complete customer journey that includes voice, IVR, robots, SMS, CRM, and agent systems.
2. Priority is determined based on revenue, compliance, customer impact, and traffic.
3. Define goals, key checks, allowable variations, and escalation procedures for each journey.
4. Connect to the testing environment and create reproducible test data and accounts.
5. First, run small-scale functional and regression tests, followed by controlled load testing.
6. Include testing in the release process, and set up monitoring and alerts for production builds.
7. For each failure, identify whether the issue lies with the system under test, the connections, the data, the model, or the tester.

AI customer service testing tutorial

1. List the actual goals that the robot must address, those it must reject, and those that it must transfer to a human.
2. Prepare test inputs such as standard text, colloquial speech, typos, emotional content, and malicious messages.
3. Define criteria for facts, task completion, tone, compliance, hallucinations, and escalation.
4. Have the testing agent interact with the robot under test on multiple occasions, rather than only conducting one question-and-answer session.
5. Save the failed trajectory and model versions to verify whether stable reproduction is possible.
6. Automatically rerun the regression suite after modifying hints, knowledge bases, tools, or routes.
7. After going live, continuous checks are carried out through synthetic transactions, along with sampling of actual conversations.

Voice and IVR Monitoring Tutorial

1. Select high-value numbers, regions, service providers, languages, and key menu paths.
2. Create an end-to-end script that includes dialing, prompts, DTMF or voice input, backend querying, and routing.
3. Test call setup, sound quality, and response time in the target country or with the target operator.
4. Set appropriate frequencies and maintenance windows, as well as create test accounts that do not trigger actual business operations.
5. Map consecutive failures, failures in a single region, and performance degradation to different alarm levels.
6. After an alarm is triggered, check the audio recordings, steps taken, information related to the service provider, and system metrics in order to determine the scope of the fault.

Which users are it suitable for

• Large-scale contact centers: Automatic verification of frequently changing IVR systems, routing rules, and multi-channel processes.
• AI Governance Team: Continuously monitors for hallucinations, biases, overreach, and compliance risks in LLM agents.
• Quality Engineering Team: Integrate CX testing into CI/CD and reduce redundant manual regression tests.
• Telecommunications and voice operations team: Monitoring of accessibility and call quality across different countries, operators, and phone numbers.
• Customer service platform team: A comparison of Dialogflow, Amazon Lex, Watson, Kore.ai, Nuance, and custom-built agents.
• WebRTC product team: Validates browsers, devices, networks, and media paths.

Typical use cases

• Before releasing a new IVR menu, automatically follow the key customer pathways and verify the CRM results.
• After the model is upgraded, check whether the AI agent develops new hallucinations or gives incorrect responses.
• Simulate peak call volumes to verify the capacity of the contact center, telephone lines, and backend systems.
• Calling key numbers at regular intervals from various countries revealed a malfunction on the part of the local operators.
• Monitor whether the outbound numbers are marked as Spam by mobile networks or blocking applications.
• When customers complain about the quality of calls, it is necessary to distinguish between issues related to the home network, the devices, and the platform.
• Perform omnichannel regression for the same business process in chats, messages, and voice calls.

Supported technology ecosystem

Price and procurement methods

As of August 2026, Cyara’s official website does not provide standard prices calculated based on the number of users, the number of tests performed, or specific product modules. All of its main products are available for purchase through scheduled demonstrations, requirement assessments, and corporate quotes.

The total cost for a company may also include implementation costs, professional services, testing fees, phone numbers, global connection fees, training, support, and charges for excessive usage. Before making a purchase, it is necessary to request quotes broken down by product, region, and environment, rather than simply comparing the total cost of a single subscription.

Data, Privacy, and Contracts

• The main service agreement confirms that the customer retains ownership of the Customer Data, and authorizes Cyara to process it solely for the purpose of providing the services.
• The customer is responsible for the accuracy of the data, its legality, intellectual property rights, and obtaining any necessary approvals.
• Upon confirming that a customer’s data has been accessed, used, disclosed, or destroyed without authorization, Cyara shall notify the customer without undue delay.
• The service handles test audio, transcription, phone numbers, robot input and output, as well as system responses; it may contain sensitive information.
• Cyara can collect and analyze data on service usage and performance; the methods of anonymization, aggregation, and subsequent use of such data are governed by the current contract.
• The testing environment should use synthetic identities and anonymized data, to prevent the copying of real customer records into unnecessary environments.
• The data areas, retention periods, sub-processors, deletion procedures, and cross-border data transfers must be specified in the DPA and the order.

Suggestions for security and compliance testing

• Prohibit suggestions, leakage of sensitive information, prompt injection, and unauthorized tool calls by incorporating them into automated regression tests.
• Set higher approval thresholds for financial, medical, collection, and identity verification processes.
• Verify when AI admits it doesn’t know, declines requests, and routes to a human, rather than only assessing the fluency of responses.
• Special numbers, accounts, and data are used in production testing to prevent the creation of actual orders or payments.
• Implement single sign-on, role-based permissions, auditing, and key rotation for the testing platform itself.
• Record the versions of the model, prompts, knowledge base, tools, and evaluators to ensure that failures can be traced back.

APIs and developer capabilities

Cyara offers Developer Central, which allows customers to access API documentation that is protected by authentication, and it enables the automation of testing processes, result handling, and deployment tasks. The public pages on the official website do not list all endpoints and SDK versions in detail.

Open-source status

Cyara’s core platform, Velocity, Cruncher, Pulse, ResolveAX, and Voice Assure are all commercial services; their core source code is not made available under an open-source license. The developer APIs, as well as the downloadable agents or connectors, do not mean that the products are open source.

Historically, Botium had open-source community components, but the functions and services offered by the commercial Cyara Botium platform are not directly equivalent to those of the open-source versions. For information on how to use the specific code, it is necessary to consult the license associated with the respective repository.

Product advantages

• One platform covers traditional IVR, digital channels, conversational AI, and generative agents.
• From design, functionality, regression, and load testing to continuous production monitoring.
• Coverage in real-world countries and by actual operators helps to identify voice issues that cannot be reproduced in the laboratory.
• Goal and outcome testing is more suitable for non-deterministic AI, as it is not limited to word-for-word matching.
• Code-free design reduces the barriers to collaboration among business, QA, and contact center teams.
• Developer APIs and CI/CD can incorporate CX quality into the release criteria.

Usage restrictions and precautions

• There are no publicly available standard prices, and the procurement process, implementation, and contract costs are higher than those of self-service tools.
• There are many platform modules, and if the key journey is not determined in advance, it’s easy to end up with insufficient coverage or overlaps after making the purchase.
• AI evaluators can also make mistakes; therefore, human review and verified gold-standard samples are necessary.
• Incorrect configuration of synthetic testing for production may trigger actual business operations, alerts, or third-party charges.
• Global voice coverage does not mean that every country, every type of number, and every operator is included in the same contract.
• For non-deterministic agents, multiple tests across different expressions are required; a successful test on just one occasion does not prove stability.
• Customer data and recordings can be sensitive, so DPA, regional, and deletion controls must be implemented.
• The performance figures shown on the official website often come from specific customers or use cases, and therefore cannot be used as a guarantee of one’s own ROI.

Supported platforms and channels

Basic information

Recommendation score

Its recommendation score is 4.6 out of 5. Cyara is suitable for large enterprises that have complex contact centers, international voice services, and multiple AI agents; it enables the improvement of CX quality from a one-time project completion stage to ongoing maintenance.

The main shortcomings are lack of price transparency, complexity in the products and implementation systems, and the fact that standards for assessing AI quality still need to be defined by the organization itself along with manual verification. Simple robots used by small teams generally do not require such a comprehensive platform.

Frequently Asked Questions

Does Cyara develop customer service robots?

Cyara is primarily used for testing, monitoring, and optimizing customer service systems and AI agents, rather than providing businesses with a general-purpose customer service robot.

How much is Cyara?

The official website does not disclose standard prices; for services such as Velocity, Botium, Cruncher, and Pulse, it is necessary to schedule a demonstration in order to obtain a customized quote.

Is it possible to test for hallucinations in generative AI?

Yes, the platform offers tests for objectives, semantics, compliance, and risks, aimed at detecting hallucinations and inappropriate behavior. However, such tests do not guarantee that all errors will be identified.

Is traditional IVR supported?

Supported. Cyara provides ongoing support for IVR design, functionality testing, regression testing, load testing, and production monitoring; it also enables the testing of traditional processes in conjunction with AI-based voice agents.

What is Botium?

Botium is Cyara’s platform for testing and optimizing conversational AI; it enables the testing of chat and voice bots, NLU systems, LLMs, as well as aspects related to security, performance, and continuous monitoring.

Is API support available?

Yes, customers can view the APIs through Developer Central and integrate them with CI/CD tools. The public pages do not expose all endpoints or the full range of official SDKs.

Is Cyara open source?

The core platform is not open source. The previously open-source components of Botium and the current commercial platform should be considered separately; it is not appropriate to classify the entire Cyara as open source based on this.

Is it possible to carry out production monitoring?

Yes, the platform periodically creates synthetic customer journeys and generates alerts. Production testing should use dedicated data and numbers to avoid affecting the actual business operations.

Does it cover China?

The official website states that voice service is available in over 145 countries, but it does not specify on its public pages which Chinese phone numbers, service providers, and features are supported; these details need to be confirmed based on the specific purchase plan.

Is it suitable for small businesses?

It is generally more suitable for large and complex environments. A lightweight testing framework may be more cost-effective when there are only a few channels and simple robots available.

Summary

Cyara combines traditional customer journey testing with AI agent goal verification, production monitoring, and global voice assurance to provide a continuous quality layer for uncertain customer service systems.

When implementing it, it is first necessary to identify the three to five most critical routes, establish clear passing standards and manual reference samples, and then gradually expand to include additional loads, different regions, AI security measures, and production monitoring – in order to avoid a situation where everything is rolled out at once yet the results cannot be explained.