We help Voice AI developers improve their agents. We map caller journeys. We show you where and why callers are dropping off. We provide audio metrics (i.e., latency) and conversational metrics (i.e., query for cases where callers ask for a representative).
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Super useful part of the layer of AI accountability. I often here from the customers "but AI makes mistakes..." A tool like this could be a great way to show a "canonical" certification to objectively address such a concern.
@maxipesfix Love what you did there with 'canonical' :). Thank you, Max! Looking forward to seeing what you do with the product.
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This is a super cool product. We need to have more insight into what AI is doing behind the scenes. Having this sort of high level analytics is crucial for any business with voice AI agents.
@chuck_fields Thank you for your support and encouragement!
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This is awesome! The drivers of AI agent performance are often so opaque when running in production at scale. I think Canonical will be one of those things where, looking back, it will be hard to imagine that we deployed voice agents without the types of insights that Canonical provides.
Absolutely love the idea of integrated AI Voice analytics! I've been using Langfuse for a while, so itβs awesome to see fresh innovation in voice AI. Keep up the great work!
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Trying to sign up via your website and I'm getting a 503 error code. Would love to utilize your services but can't access them!
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