
Voxpopme enhances AI Moderator with ElevenLabs Agents Platform
Supporting 10,000+ research conversations with natural, trustworthy voices
Ensure reliability and compliance with ElevenLabs Agents Testing. Run structured simulations for tool calls, human transfers, workflows, and guardrails. Integrate into CI/CD and ship agents with confidence.
Building reliable conversational agents isn’t just about creating the perfect prompt. Every update—whether it’s tweaking a prompt, adding a new tool, or changing a workflow—can introduce regressions. That’s why we’re excited to announce ElevenLabs Agents Testing, a new way to validate and improve the performance of your agents at scale.
With built-in test scenarios, you can now run structured simulations to increase your agents’ success rate across:
Testing doesn’t need to start from scratch. You can design tests for mission-critical flows or automatically generate tests from past customer conversations.
Once tests are in place, you can iterate on prompts and workflows with confidence, knowing that regressions will be caught early.
Enterprises rely on voice agents to represent their brand and stay compliant. By embedding tests that mirror real-world interactions, you reduce the risk of costly errors and ensure your agents consistently follow brand guidelines and compliance requirements.
For developers, ElevenLabs Agents Testing integrates seamlessly into your CI/CD pipelines. Every pull request can be validated against all your test scenarios, so you catch problems before they reach production.
Reliability and scalability are no longer trade-offs. With ElevenLabs, you can build, test, and ship conversational agents that perform consistently under real-world conditions.
Supporting 10,000+ research conversations with natural, trustworthy voices
One year ago, the ElevenLabs Impact Program set out to provide one million voices to people with permanent speech loss caused by conditions such as ALS, head and neck cancer, cerebral palsy, and PSP. Today, we’re taking a major step toward that goal.
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