How To Detect Synthetic Voices in Your Call Center
Synthetic callers are already in your call volume, counted as customers. Learn what they are, why they matter, and how VoxEQ Insights uses your recorded calls to find them.

Synthetic callers are already in your call volume, counted as customers. Learn what they are, why they matter, and how VoxEQ Insights uses your recorded calls to find them.

See how much of your call volume is human, which agent-caller pairings win, and where caller-profile mismatches cluster, all from calls you've already taken.
VoxEQ caught up with partners and spoke with customers at Genesys Xperience, and we also shared the stage with banking leaders to discuss strategies on how regulated industries are deploying AI for the greatest impact. Here are our key takeaways.

Enterprise support calls lose valuable time before anyone even reaches the problem, time spent confirming who's calling, which account, and what history applies. Caller Context closes that gap, using voice intelligence to recognize when a caller is probably someone the system has spoken with before, helping to reach a faster, better-informed start to every interaction, for human agents and virtual agents alike.

From first hello to final resolution, human context is becoming the foundation of high-performing Voice AI. In this blog, Clay Heinz breaks down four real examples of how the customer journey can be enriched at every stage with the help of deeper human context.

Monday Dec 11th, 2023
VoxEQ secures investment to bring voice AI breakthroughs to market, led by GOVO Venture Partners
VoxEQ, a provider of world class and proprietary artificial intelligence tools to understand the person behind the voice, today announced the addition of capital partners in its most recent funding round, led by GOVO Venture Partners
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Monday Jul 3rd, 2023
VoxEQ makes a voice analysis breakthrough, surpassing previous state-of-the-art systems for ‘age-from-voice’ prediction
VoxEQ, a provider of world class and proprietary artificial intelligence tools to understand the person behind the voice, today announced a breakthrough in “age from voice” prediction, besting the state of the art for accuracy by 2x
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