Recognized in the CMP Research Prism 2026, Chatbot and Virtual Agent category
Read how the CMP Research Prism 2026 for Chatbot and Virtual Agent recognizes Orvera AI, an agentic AI platform for enterprise customer experience.
Read how the CMP Research Prism 2026 for Voicebot and Conversational IVR recognizes Orvera AI, an agentic AI platform for enterprise customer experience.
Orvera AI, formerly CallBotics, is recognized in the CMP Research Prism 2026, Voicebot and Conversational IVR category, which covers vendors delivering enterprise voice automation for customer experience. The report describes Orvera AI's production-first approach to conversational AI, built by contact center practitioners for live operational conditions. It covers the platform's AI voice agents, which automate customer experience workflows and support industry-specific configurations, compliance requirements, escalation logic, and direct integrations with contact center and enterprise systems.
The profile also covers Orvera AI's broader customer experience platform, which combines AI voice agents, automated quality assurance, Agent Assist, and interaction intelligence to help organizations improve automation, service quality, and operational visibility. The report notes the company's vertical focus across healthcare, litigation support, telecommunications, retail, and utilities, and its role in helping enterprises deploy scalable, outcome-driven conversational AI in complex customer experience environments.
Get the complete report as a PDF, delivered to your inbox and downloaded instantly.
Keep reading
Read how the CMP Research Prism 2026 for Chatbot and Virtual Agent recognizes Orvera AI, an agentic AI platform for enterprise customer experience.
Read how Everest Group's Tech Provider Spotlight: Voice AI Agents in Customer Experience Management (CXM) named Orvera AI among sixteen shortlisted providers. Orvera AI is an agentic AI platform for enterprise customer experience.
How customer operations can remain resilient under rising demand
Live in 3 to 6 weeks, on the stack you already have, with white-glove implementation run by our team.