Voice AI & Agentic Sales Insights

Why voice AI gets worse the longer it talks, and how we fixed it

Voice AI calls that run 20 to 45 minutes hit three compounding failures, rising cost, growing latency, and lost context. Here's how a context management layer keeps your agent fast, accurate, and economical at every minute of the call.

CEO & Co-founder

Introducing Persistent Memory: Your Voice AI Agent Now Remembers Every Conversation

SquadStack's Persistent Memory gives voice AI agents lead-level context across calls, so follow-ups pick up where the last conversation left off, not from scratch.

CEO & Co-founder

Introducing Optimize: Test Every Variable That Drives Conversions

Run multivariate tests on voice personas, prompts, and cadence to compound conversions and lower CAC week over week with SquadStack.ai Optimize.

CEO & Co-founder

Introducing Humanoid Vision Agent: The First AI Agent With Eyes

Most Voice AI agents start every call from zero. Humanoid Vision Agent sees the product, reads the listing, and cross-references seller data before saying a word. Context before conversation.

CEO & Co-founder

Why Building Voice AI In-House Is a Costly Illusion for Enterprises

Should enterprises build or buy Voice AI? This guide breaks down hidden complexity, revenue impact, and the smarter path to faster outcomes.

CEO & Co-founder

Why India Is the Boss Fight for Voice AI

Building Voice AI for India demands more than speech recognition. It requires understanding culture, dialect shifts, and real conversational behavior at national scale. Read the blog to discover the key principles behind Voice AI built for India.

Apurv Agrawal

CEO & Co-founder

June 12, 2026

5 min