7 Best Cyara Alternatives for AI Agent Testing in 2026

7 Best Cyara Alternatives for AI Agent Testing

Each entry covers what the tool tests, the capabilities you'd rely on after leaving Cyara, who it fits, and the limitation to check before you switch.

1. TestMu AI Agent Testing (Formerly LambdaTest)

TestMu AI Agent Testing is an AI agent testing platform in which autonomous AI evaluators run test conversations, phone and video calls, and image checks against your agents. It covers chat and voice agents, inbound and outbound phone agents, video agents, and image analyzers, so a team with several kinds of AI agent can replace Botium and AI Trust with one tool.

You upload documents or PRDs, or connect Jira and Confluence, and the platform generates 60 to 100+ scenarios across happy paths, edge cases, and adversarial inputs. A set of 15+ specialized agents then runs them in parallel to check for hallucination, bias, toxicity, and more, and every chat and voice run is scored on 9 quality metrics before it ends in a Green, Yellow, or Red production-readiness verdict.

The sample view above shows how test profiles, scenario languages, and customer personas combine in one run, which is how the platform covers anxious or terse callers in several languages without anyone writing each case by hand.

• Phone testing - 30+ call metrics, including first call resolution, containment rate, CSAT, and speech-to-text accuracy, plus DTMF detection for calls that pass through a menu.
• Voice realism - 200+ voice profiles, 50+ accents, and 15 background-noise environments.
• Production recordings - upload real call recordings for batch analysis with the same evaluation metrics.
• CI and scheduling - a CLI that outputs JUnit XML for GitHub Actions, GitLab CI, Jenkins, and CircleCI, plus scheduled runs on preset frequencies or custom cron expressions.
• Private agents - optional secure tunnels for agents behind a firewall.

Best for: teams testing several kinds of AI agent, such as a support chatbot and a phone agent, who want generated coverage and one readiness verdict.

Limitation: plans beyond the free start are custom-quoted to your evaluation volume, and it doesn't cover telephony checks such as in-country carrier reach.

Note: Generate scenarios from your agent's documents and get a Green, Yellow, or Red verdict for chat, voice, and phone agents before each release. Start testing with TestMu AI

2. Hamming

Hamming calls itself the trust platform for voice and chat agents, and it covers testing before launch, red teaming, and monitoring of production calls in one product. It dials agents over SIP, connects to LiveKit and Pipecat for direct WebRTC, and imports agents built on Vapi, Retell, or ElevenLabs.

It analyzes your agent's prompt to generate hundreds of test scenarios, scores them with 50+ built-in metrics, and runs them under accents, interruptions, background noise, DTMF, and IVR trees, which helps when your AI agent sits behind a phone menu.

• Scale - 50K+ concurrent calls, wired into CI/CD so a failing build doesn't ship.
• Red teaming - a curated adversarial suite built from patterns across many production deployments.
• Production loop - one click turns a production failure into a permanent regression test.
• Enterprise deployment - SOC 2 Type II, HIPAA with a BAA, SSO, single-tenant deployment, and on-premise for specific use cases.

Best for: enterprise teams moving voice and chat agents off Cyara that need isolated deployment and IVR-aware scenarios.

Limitation: every plan on its pricing page reads contact us, and its site covers voice and chat agents but not video or image agents.

3. Cekura

Cekura positions itself as automated QA for voice AI and chat AI agents, running thousands of synthetic conversations before go-live and live drift detection across every production call afterward. It benchmarks agents built on Vapi, Retell, and ElevenLabs and lists LiveKit and Pipecat among its partners.

Its pricing is published, with pay-as-you-go and Startup plans metered by voice testing minutes, chat replies, and monitored calls, so you can size the cost of testing one agent before you talk to anyone. The guide to Cekura alternatives for voice and chat agent testing compares it with its closest peers.

• Red teaming - probes for jailbreaks, leaks, and off-script behavior.
• Compliance - HIPAA and GDPR on every plan, with SOC 2 on its compliance list.

Best for: AI-native teams that want to start testing a voice or chat agent the same day.

Limitation: the self-serve plans cap concurrency at 10 or 50 calls, red teaming and load testing don't appear in them, and VPC or on-prem hosting is Enterprise-only.

4. Roark

Roark helps teams test, monitor, and improve the voice AI agents they already run, and it treats audio as the main signal with 500+ audio-native metrics. Hundreds of simulated callers built from your real call types cover the angry caller, the rambler, and the interrupter, while adversarial callers try prompt injection, jailbreaks, and social engineering.

It works with Vapi, Bland, Retell, LiveKit, Pipecat, ElevenLabs, Kore.ai, and Google, and it scores every production call as it lands, for voice calls and chat threads alike.

• CI gating - every prompt or model change runs the suite before it merges.
• Load and health - peak-volume concurrency and always-on health checks.
• Compliance - SOC 2 Type II and a HIPAA BAA on every plan, including pay-as-you-go.

Best for: voice-first teams that want deep audio scoring and compliance without an enterprise contract.

Limitation: its pricing page doesn't mention VPC or self-hosted deployment, and SSO with SAML is Enterprise-only.

5. Coval

Coval helps teams scale voice AI agents with confidence, and its homepage centers on repeatable voice AI regression testing across prompt changes, model updates, vendor swaps, and new workflows. That suits a team that expects to change LLM or speech providers and needs evidence that nothing broke each time it does.

Its docs describe pointing Coval at a voice or chat agent over inbound, outbound, chat, or voice-to-voice connections and running thousands of realistic conversations with background noise, accents, and edge cases. After launch it scores the production conversations you upload and routes failures to human reviewers whose feedback retrains its AI judge.

• Persona library - 10 personas on Starter, 50 on Growth, and custom personas on Enterprise.
• Human review - human review queues on every plan.
• Compliance - SOC 2 Type II, HIPAA, and GDPR from Starter to Enterprise.

Best for: voice-first teams that swap models or vendors often and want regression evidence each time.

Limitation: the 7-day free trial requires a credit card, and its site doesn't mention video or image agents.

6. Bluejay

Bluejay describes itself as the QA platform for AI agents, and it runs lifelike Digital Humans across voice, chat, and text to simulate real conversations and validate workflows. It's built to catch regressions before launch and to give you observability into how the agent behaves in production afterward.

Its pricing is public across pay-as-you-go, Growth, Scale, and Enterprise plans, and the plans differ mostly in concurrency, from 25 concurrent simulations on pay-as-you-go to 200 with load testing on Scale.

• Load testing - load tests at scale, with customizable concurrency and load limits on Enterprise.
• Compliance - SOC 2 Type II on every plan.

Best for: teams that want simulated users across several channels with visible pricing from day one.

Limitation: its homepage gives few specifics about metrics or red teaming, and SSO, SAML, and SCIM are Enterprise-only.

7. Bespoken

Bespoken builds automated testing for conversational AI across agentic AI, chatbots, IVR, and IVA, and it supports phone, web, WhatsApp, SMS, and other channels. That mix makes it the closest fit on this list for teams that used Botium to test chatbots on messaging channels.

It crawls and maps every path in an IVR or chatbot without scripts, runs persona-based simulations across thousands of scenarios, and detects hallucinations, guardrail failures, and off-topic responses.

• Load and uptime - simulates thousands of simultaneous users and monitors uptime around the clock with instant alerts.
• DevOps fit - native integrations with GitHub, Jenkins, and CircleCI.
• Compliance - SOC 2 Type II and ISO-compliant infrastructure, with a 2-week free trial and no credit card.

Best for: teams replacing Botium for chatbots across web chat, WhatsApp, and SMS.

Limitation: its homepage doesn't describe bias scoring or a named metric set for LLM agents, so confirm the evaluation depth you need during the trial.