Cobbery agents maximize conversational immersion, they sound like you’re talking to a real human.
Low Income Housing Survey
Real Call
Medical Cost Research
Real Call
AI SDR Cold Call
Real Call
Backed by:
Cobbery Campaigns use a consistent analysis schema for every call so you can extract standard information no matter how the call goes.
vs Others
Others
A library of hand-crafted personas with that speak naturally, as a human would.
Have to spend hours prompting LLMs to handle voice conversations naturally, and get rid of the “ChatGPT behavior”.
Every call is analyzed with the same JSON schema.
Requires writing your own system for consistent analysis.
Campaign-Job system that handles time constraints, retry intervals, requested call backs, and so much more.
Must write your own call scheduling and retrying.
Can leave voicemails, and restores context on returned calls.
Can leave voicemails, must write code to track and restore context for returned calls.
Native A/B testing framework to test differences in persona, conversation navigation, and more.
Must write multiple agents and compare manually.
Aggregate analysis tools to have campaign-wide visibility, purpose-built for market research.
Must write code to analyze calls in aggregate, after writing consistent analysis.
Protect your data with purpose-built security.
Cobbery offers advanced data redaction and PII deletion capabilities to ensure your sensitive information remains confidential and compliant, without deleting action history.
Integrate with all your tools
Automatically launch jobs and enrich your other tools with results. If you don't see the integration you need, we'll make it.
