Name: VM Hunter
Rating: 5.0 (2 reviews)

VM Hunter is the #1 AI answering machine detection platform. Powered by SpeechLLM, it handles 10,000+ concurrent calls with 99.7% accuracy. Try it free today.

I run outbound dialers, and the built-in answering machine detection in Asterisk/VICIdial was the weakest link: agents kept getting handed voicemails, and real people got dropped as machines. VM Hunter started as a simple idea — stream the first two seconds of each answered call to a speech engine and classify the greeting — and it grew from there. Working with real call-centre traffic changed the approach a lot: we added tone detection for beeps and disconnected numbers, learned to read how someone stops talking (a person pauses for you, a recording doesn't), and built handling for iPhone and Google call screening, which every AMD I've seen just hangs up on. This week's launch includes the second-generation engine, plus ready-made clients for VICIdial, FreeSWITCH, and Twilio, so it's a ten-minute install rather than a project.

I tested VM Hunter today alongside a couple of other answering machine detection solutions, including AMDY io and Khomp, and honestly, I was surprised by the difference in results.

I expected performance to be fairly similar, but VM Hunter was noticeably more accurate in my testing, especially at distinguishing real humans from voicemail/answering machines.

What impressed me most was the consistency. I ran the same type of calls through the different solutions, and VM Hunter gave me significantly better results overall.

I've tested several AMD solutions before, so I don't say this lightly — VM Hunter has definitely caught my attention.

Great work by the team. I'm looking forward to testing it further at scale.

So far, I’m very happy with the detection accuracy. I’d mainly like to see more detailed analytics and reporting around detection results, as well as continued improvements to the API and documentation. Overall, though, the core detection performance has been excellent in my testing.

I tested VM Hunter against other AMD solutions, including Amdy and Khomp, using the same type of calls. The difference in results was honestly surprising. VM Hunter was noticeably more accurate and consistent at distinguishing live human answers from voicemail/answering machines. For my use case, the accuracy is the most important factor, and VM Hunter performed better in my testing.

I tested VM Hunter today alongside a couple of other answering machine detection solutions, including AMDY io and Khomp, and honestly, I was surprised by the difference in results.

I expected performance to be fairly similar, but VM Hunter was noticeably more accurate in my testing, especially at distinguishing real humans from voicemail/answering machines.

What impressed me most was the consistency. I ran the same type of calls through the different solutions, and VM Hunter gave me significantly better results overall.

I've tested several AMD solutions before, so I don't say this lightly — VM Hunter has definitely caught my attention.

Great work by the team. I'm looking forward to testing it further at scale.

VM Hunter

AI Answering Machine Detection

AI Answering Machine Detection

What's great

What needs improvement

vs Alternatives

What's great

What needs improvement

vs Alternatives