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The $1B Insight Behind This AI Voice Startup
Inside: How Alex Levin scaled a $1B call center, then used AI to reinvent it from the ground up. Alex Levin saw voice outperform email at scale. Now he’s automating the phones companies forgot.

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✉️ Homebase AI Weekly
Insights, Interviews & AI Trends That Matter
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🧠 Insight-packed trends & news
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What’s on tap today:
🎙️ Featured Interview – Alex Levin, Co-founder & CEO @ Regal AI
🧵 AI Founder Takeaways – Big ideas, tactical insights
📰 Headline Recap – Top 5 stories in AI
📊 AI Trend Deep Dive – SUNO AI
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🎙️Oren Melamed, Gloat – Director of R&D at Gloat, specializing in AI development and scaling AI agent memory for teams.
🎙️Amogh M, Bind AI – Co-founder of Bind AI, a low-code/no-code platform that democratizes generative AI application development for both technical and non-technical users.
🧠 Got a question you'd like us to ask? Product-specific or strategy-related – we want your input.
🎙️ This Week’s Interview
Listen on Spotify | Apple Podcasts
Watch on YouTube
What We Talked About:
Alex Levin is building Regal AI on a contrarian insight: while everyone tells you to "hide the phone number," voice actually converts 10-15x better than digital channels (30% answer rates vs 2% email clicks). After scaling Angie's contact center from startup to $1B+ public company, Alex saw that customers who called had higher lifetime value—yet the industry kept pushing away from voice due to cost and complexity.
Regal's AI agents now handle the full conversation spectrum—from Medicare enrollments to car sales—matching human performance at one-tenth the cost. The tipping point? AI has moved from "cheaper but worse" automation to "cheaper AND better" replacement. Enterprise clients are seeing 85-95% CSAT scores and immediate ROI, with Alex predicting 90% of customer interactions will be AI-handled within 3-10 years.
🧠 Top Insights & Achievements:
Voice Channel Superiority - 20-30% answer rates vs 2% email clicks; higher customer LTV proven at scale
90% POC Conversion Rate - Nearly all pilots become full deployments when C-level alignment exists
10x Cost Advantage - Human-level performance at one-tenth the cost of US-based agents
Enterprise-Grade Security - HIPAA/SOC 2 compliant; LLMs prohibited from storing or training on customer data
Fortune 500 Traction - Scaling from mid-market to enterprise across healthcare, insurance, and financial services
Performance Parity Achieved - AI agents now match or exceed human CSAT scores across complex use cases
Watch the full interview below! 👇
The Ultimate Lesson
The best channel for customer engagement is the one you're probably avoiding. Voice converts 10x better than email, but most companies hide their phone number due to operational costs.
How to apply: Stop testing AI on your smallest use cases. Start with 1% of your most critical, highest-volume interaction and scale from there. If it works for Medicare enrollments and car sales, it can work for your business.
“These AI agents are a tenth the cost of US-based human agents. They're performing as well. And if not everything's perfect—you say, 'put more effort in this to make it perfect,' because it's worth it.”
Top 5 Headlines in AI
Catch up in 60 seconds:
OpenAI Revenue DOUBLES to $10B (Link) ChatGPT maker's revenue jumps 82% in just 6 months as enterprise adoption explodes.
Zuckerberg Bets $14B on AI Dominance (Link) Meta makes its largest AI investment ever to supercharge Llama models and compete with OpenAI.
$16B Chip Manufacturing Returns to US (Link) GlobalFoundries announces massive reshoring push to fuel America's AI chip independence.
Spanish Startup Shrinks AI by 95% (Link) Multiverse Computing raises $215M for breakthrough tech that compresses massive AI models to run anywhere.
Meta Poaches Google's Top AI Talent (Link) Tech giant raids Alphabet and other competitors to build elite AI research lab in escalating talent war.
AI Trend Deep Dive: SUNO AI
Key Player: AI music generator creating realistic songs with vocals and instruments from text prompts, founded by former OpenAI engineers.
Market Value: Valued at $500M after raising $125M in Series B, with $45M annual recurring revenue in 2024.
Adoption: 0 million users have created songs, with 50% of free users converting to paid subscriptions.
Recent Developments: Launched v4.5 with enhanced vocals and 8-minute tracks while facing major label copyright lawsuits.
Growth Potential: Targets billion-user market by democratizing music creation like smartphone cameras did for photography. Aims to transform music from passive consumption to active creative engagement for everyone.
Why It Matters: First AI music app to achieve professional-quality output, challenging traditional music creation paradigms. The gaming industry's 30-50x larger size suggests massive expansion potential.
The Big Picture: Most controversial AI music company, simultaneously accused of copyright theft and praised for democratizing creativity. Industry remains deeply divided, with artists like Thom Yorke opposing while Timbaland endorses the platform.

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