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).
Hi PH community! I’m Tom Shapland, a cofounder of Canonical AI. We love working with Voice AI developers to help them improve their agents!
Most Voice AI agent developers are manually listening to a subset of their calls. Or they’re only finding out about issues with their agent when their customers complain. We thought there had to be a better way to analyze Voice AI calls at scale – so we built Canonical AI!
The Cambrian Explosion of Voice AIs
LLMs have changed the paradigm for Voice AI. Compared to rule-based systems (i.e., Amazon Polly), LLM-based Voice AI agents understand the intent of the caller and can more often resolve the issue without escalation to a human agent. Moreover, with LLM-based Voice AI agents, developers can build a Voice AI agent more quickly, onboard customers quicker, and iterate on the product faster.
Our customers’ Voice AI agents are doing amazing things! It’s so much fun to see the agents achieve the caller’s objective, even in the face of skepticism from the human caller.
But the world of LLM-based Voice AI agents is still nascent. We’re seeing tooling emerge for testing Voice AI agents before they’re deployed. We’ve building the analytics platform for understanding, improving, and reporting on performance after they’re deployed.
Key Features
- Call Journey Maps: Identify where calls are failing in the caller journey so that fewer callers drop off.
- Sad Path Analysis: Find the calls that have taken an unexpected direction so you can redesign the conversation or try other technical strategies.
- Audio and Conversational Metrics: Easily surface problematic calls with audio metrics (e.g., calls with a high percentage of silence) and customer conversational metrics (e.g., calls where the caller has never heard of the Voice AI agent's company).
Next StepCheck out our demo!
Analyze calls from a car dealership Voice AI agent in our demo!
Try out the platform with your own calls!
Get an API key on our website here!
If you're not comfortable with uploading calls programmatically (i.e., via our python example, our Vapi integration, or our Pipecat integration, then send us a drive folder of your audio recordings.
Chat with us in the comments!
We’d love to hear what you think! Please ask questions or comment below!
