Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
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Pricing
Freemium
Use cases
Customer service teams automating appointment confirmations and scheduling tasks using conversational AI agents fine-tuned on phone call data., Operations managers reviewing call history and transcripts to analyze decision-making processes and improve agent performance., Developers building voice-based workflows using custom-built conversational models designed to handle noisy phone environments.
Strengths
Users can access custom-built conversational models that have been fine-tuned on millions of noisy phone calls for better accuracy., The platform provides in-depth call history including full recordings and transcripts for every automated interaction., The system allows users to test new AI agents against historical call data to ensure performance consistency before deployment.
Limitations
The platform requires users to navigate a no-code interface or developer tools to set up voice agent workflows., Access to specific pricing details and plan limitations requires direct contact as public documentation is currently restricted (verified: 2026-01-30).
Last verified
Jan 30, 2026
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Strengths
- Users can access custom-built conversational models that have been fine-tuned on millions of noisy phone calls for better accuracy.
- The platform provides in-depth call history including full recordings and transcripts for every automated interaction.
- The system allows users to test new AI agents against historical call data to ensure performance consistency before deployment.
Limitations
- The platform requires users to navigate a no-code interface or developer tools to set up voice agent workflows.
- Access to specific pricing details and plan limitations requires direct contact as public documentation is currently restricted (verified: 2026-01-30).
FAQ
What specific types of conversational models does the platform use for processing voice calls?
The platform utilizes both off-the-shelf models like GPT and its own custom-built conversational models. These proprietary models are specifically fine-tuned on millions of noisy phone calls to improve transcription and response accuracy in real-world conditions. This ensures the AI can handle background noise and varied call quality effectively (verified: 2026-01-30).
How can users monitor and analyze the performance of their automated AI voice agents?
Users can access an in-depth call history dashboard that provides every call recording and transcript. This allows for detailed analysis of how decisions were made during the call and provides a way to test new agent versions against old call data to ensure continuous improvement of the voice workflows (verified: 2026-01-30).
Does the platform provide support for both developers and non-technical users to build agents?
The platform provides a no-code interface for general users and dedicated tools for developers to create and manage AI voice agents and call workflows. This dual approach allows teams with varying technical expertise to deploy and manage automated voice solutions within their existing business operations (verified: 2026-01-30).
