Orvera AI Recognized in the CMP Research Prism, 2026: #Voicebot and Conversational IVR
Ali Merchant explains how Orvera AI earned placement in two CMP Research Prism 2026 reports, and why the layer built on top of AI models matters.
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About this session
In this short, Orvera AI Founder and CEO Ali Merchant shares how Orvera AI was placed in two CMP Research Prism reports for 2026: Voicebot and Conversational IVR, and Chatbot and Virtual Agents. With more than 3,000 conversational AI vendors on the market, CMP Research evaluated the participating vendors on ten criteria, each carrying the same weight.
That equal weighting means implementation and support count as much as the AI itself. Ali explains why, when every vendor runs the same models, the real difference is the layer built on top of them, and why that layer depends on having run real queues, real people, and real escalations. The clip is designed for CX and contact center leaders comparing conversational AI vendors.
Key takeaways
What comes out of it
A crowded market. More than 3,000 conversational AI vendors are competing for enterprise contact centers.
Recognized twice. Orvera AI was placed in the CMP Research Prism 2026 reports for Voicebot and Conversational IVR, and for Chatbot and Virtual Agents.
Ten criteria, equal weight. CMP evaluated participating vendors on ten criteria, so implementation and support count as much as the AI.
Models are no longer the difference. Every vendor runs the same models; what matters is the layer built on top for customers.
Built from operations. That layer comes from running real queues, real people, and real escalations.
TranscriptRead the full session
Ali Merchant 00:00:00.00 There are more than 3,000 conversational AI vendors right now. So, CMP Research evaluated the ones that took part. Orvera AI has been placed in two of the CMP Research Prism reports for 2026. The first one is Voicebot and Conversational IVR. The second one is Chatbot and Virtual Agents. CMP evaluated the participating vendors on 10 criteria,
Ali Merchant 00:00:30.00 weighs the same which means implementation counts the same as the AI and so does support every vendor runs the same models now so the models stop being the difference what matters is the layer you build on top of them for your customers and look you cannot build that layer unless you have run operations yourself real queues, real people, real escalation. That's where Orvera AI came from.
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