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Insights & Updates
The latest news, engineering insights, and best practices from the VM Hunter team.
VICIdial AMD Setup Guide: Replacing the Built-In Detector with AI
A step-by-step VICIdial AMD setup guide for replacing res_amd with AI detection. Disable the legacy detector, fork RTP audio over WebSocket, map AMDSTATUS, and tune thresholds — in about 30 minutes.
VICIdial vs Five9 AMD: Which Actually Reduces False Positives?
A head-to-head comparison of VICIdial and Five9 answering machine detection, and why neither publishes the number that matters. How to measure your own false positive rate instead of trusting a datasheet.
Asterisk AMD's 15–20% False Positive Problem (And How to Fix It)
Why Asterisk's res_amd module hangs up on 15-20% of live humans, traced through the actual source logic — and the three remediation paths, from retuning amd.conf to replacing the detector entirely.
AI Answering Machine Detection: How SpeechLLM Hits 99.7% Accuracy
A technical breakdown of how AI answering machine detection reaches 99.7% accuracy. Inside the eight parallel signal layers, the sub-50ms latency budget, and how to verify any vendor's accuracy claim.
Answering Machine Detection Explained: From Beep Tones to AI
A complete history of answering machine detection across four technological generations — from 1970s tone thresholds to modern AI. Learn why each approach broke and how live human detection works today.
SpeechLLM for AMD: The 8-Layer Architecture Behind 99.7% Accuracy
Dive deep into SpeechLLM's proprietary 8-layer neural network architecture. Learn how it achieves 99.7% voicemail detection accuracy where legacy AMD fails.
AI Calls Explained: How Modern Outbound Teams Use AI to Reach More Live Humans
Learn how AI calls transform outbound operations. Discover how AI-powered calling technology reaches more prospects, improves conversions, and maximizes agent efficiency.
Asterisk Voicemail Detection: How to Set Up AMD on Your Asterisk PBX
Complete guide to implementing voicemail detection on Asterisk PBX systems. Learn configuration, best practices, and integration strategies.
Voicemail Detection in 2026: How It Works, Why It Matters, and What to Look For
The complete guide to modern voicemail detection technology. Learn how AI-powered systems work, why they matter for call centers, and how to evaluate solutions.
What is SpeechLLM? The AI Model Behind Next-Gen Voicemail Detection
Discover how SpeechLLM, our proprietary AI model, achieves 99.7% voicemail detection accuracy. Learn the technology behind next-generation answering machine detection.
How to Improve Call Center Agent Utilization with Answering Machine Detection
Discover how modern AI-powered answering machine detection maximizes agent productivity by eliminating wasted time on voicemails. Real data on utilization gains and ROI.
Why Your Dialer Is Hanging Up on Real People (And You Have No Idea)
Traditional AMD was built for 2006. In 2026, it's silently hanging up on real customers. Here's what's broken — and how SpeechLLM fixes it.
What is AI AMD? How AI-Powered Answering Machine Detection is Replacing Old Dialers
Discover how AI AMD is revolutionizing call centers by replacing legacy dialer technology. Learn why AI-powered answering machine detection delivers 99.7% accuracy and transforms outbound operations.
Answering Machine Detection Accuracy: What 99.7% Actually Means for Your Call Center
Understanding what 99.7% AMD accuracy really means, how it impacts your bottom line, and why this metric is critical for call center operations. Real-world benchmarks and cost analysis.
How AI Answering Machine Detection Works — And Why It Beats Legacy AMD
Legacy answering machine detection tops out around 85% accuracy — and costs your agents thousands of wasted hours every year. Here's exactly how AI AMD works differently, and why the gap keeps widening in 2026.
What Is AI Answering Machine Detection? (Complete 2026 Guide)
The definitive guide to AI answering machine detection. Learn how SpeechLLM outperforms legacy AMD, setup guides for VICIdial, accuracy benchmarks, and ROI data.
Introducing SpeechLLM 2.0: Our Most Accurate Model Yet
Major update: SpeechLLM 2.0 now achieves 99.8% accuracy with 40% faster inference. New features include real-time confidence scores, improved accents handling, and support for 15 additional languages. Available now for all enterprise customers.
How AI-Powered Voicemail Detection Actually Works
Technical deep dive into neural networks, mel-spectrograms, and transformer models. Updated with 2026 benchmarks showing how modern SpeechLLM beats legacy signal processing by 25% on edge cases.
5 Ways to Maximize Call Center Efficiency with VM Hunter
A practical playbook for call center efficiency: threshold tuning by campaign type, dialer pacing, classification-based routing, measuring the false positives nobody tracks, and turning detection signals into list hygiene.
Enterprise Security: Our Journey to SOC 2 Type II Compliance
An inside look at achieving SOC 2 Type II with zero findings — what the certification actually proves, why voice data raises the bar, the architecture decisions behind it, and how to evaluate any vendor's security claims.
The Challenges of Multilingual Voicemail Detection
Now supporting 65+ languages and regional dialects. Updated analysis of accent variations, carrier-specific voicemail systems globally, and how we achieve 99%+ accuracy across non-English markets.
Customer Story: How CallPro Reduced Costs by 35%
Updated: CallPro now reports 50% cost reduction and 12x ROI within 18 months. New metrics on agent retention, customer satisfaction impact, and expansion to 8 new markets.
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